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1、WAVE REPORTThe Forrester Wave:Cloud Data Warehouses,Q2 2023The 15 Providers That Matter Most And How They Stack UpJune 26,2023 By Noel Yuhanna with Aaron Katz,Sarah Morana,Kara HartigSummaryIn our 22-criterion evaluation of cloud data warehouse providers,we identified the 15 most significant ones an
2、d researched,analyzed,and scored them.This report shows how each provider measures up and helps data management professionals select the right one for their needs.Additional resources are available in the online version of this report.Forrester Report Prepared For#fullName#With#organization#Not Lice
3、nsed For Distribution.2023 Forrester Research,Inc.All trademarks are property of their respective owners.For more information,see the Citation Policy,contact ,or call+1 866-367-7378.1Forrester Report Prepared For Meen Hu With Tencent Cloud Computing(Beijing)Company.,Ltd.Cloud Data Warehouses Help Mo
4、dernize Your Analytical PlatformCloud data warehouse(CDW)solutions have been around for more than a decade,helping organizations accelerate analytics and insights by allowing users to focus on data rather than dealing with technical complexity.CDW solutions can provision data warehouses in minutes,t
5、une queries automatically,scale up or scale down resources based on demand,and back up data continuously.They can also ingest data from multiple sources,perform integrated insights with built-in analytical functions,and self-upgrade without downtime.To address the growing need for more integrated,re
6、al-time,and self-service analytics,CDWs offer more advanced capabilities,including native integration with data lakes and object stores,self-service data sharing and collaboration,integration with serverless,low-latency data ingestion,automated query optimization,and integration with new data archit
7、ectures.Although CDW use cases have grown over the years to include business intelligence(BI)acceleration,customer analytics,real-time analytics,data sharing,IoT analytics,and data warehouse automation,we have not included these use case criteria in this Wave.Most vendors serve almost any new use ca
8、se,and our assessment does not find differentiation among vendors around specific use cases.As a result of these trends,CDW customers should look for providers that:Simplify data warehouse deployments with advanced automation.CDW can automate administration functions,including loading,processing,tra
9、nsforming,tuning,optimizing,scaling,orchestration,and security.Look for solutions with expanded automation capabilities with zero-administration and self-service capabilities to automate query tuning,ingestion,data processing,and data integration and to accelerate modern business use cases.Support r
10、eal-time analytics with high-speed ingestion.CDWs enable real-time analytics by integrating streaming sources and executing analytics pipelines in real time to generate actionable insights.They offer the ability to store,process,and access large amounts of data to support real-time analytics.Look fo
11、r vendors that offer integration with serverless,support intelligent data tiering across memory and storage devices,and have high-speed data ingestion capabilities.Deliver the performance and scale requirements your enterprise needs.Performance and scale are critical for a CDW.Look for solutions tha
12、t support thousands of concurrent users and queries per second and offer the ability to scale up and down based on business requirements.Ask the vendor for customer references to validate performance and scale,particularly if your enterprise needsForrester Report Prepared For#fullName#With#organizat
13、ion#Not Licensed For Distribution.2023 Forrester Research,Inc.All trademarks are property of their respective owners.For more information,see the Citation Policy,contact ,or call+1 866-367-7378.2Forrester Report Prepared For Meen Hu With Tencent Cloud Computing(Beijing)Company.,Ltd.require storing a
14、nd processing more than 100 terabytes of data or dealing with more than 100 concurrent users.Integrate with other platforms to future-proof your architecture.CDWs should not be used in isolation but integrated with other architectures such as data fabric,data mesh,globally distributed data platforms
15、,multimodel platforms,graph data platforms,and translytical platforms to accelerate new and emerging use cases.Look for CDW solutions that seamlessly integrate with other modern data platforms to broaden the use cases and future-proof your data architecture.Evaluation SummaryThe Forrester Wave evalu
16、ation highlights Leaders,Strong Performers,Contenders,and Challengers.Its an assessment of the top vendors in the market;it doesnt represent the entire vendor landscape.Youll find more information about this market in our reports on CDWs.We intend this evaluation to be a starting point only and enco
17、urage clients to view product evaluations and adapt criteria weightings using the Excel-based vendor comparison tool(see Figures 1 and 2).Click the link at the beginning of this report on F to download the tool.Forrester Report Prepared For#fullName#With#organization#Not Licensed For Distribution.20
18、23 Forrester Research,Inc.All trademarks are property of their respective owners.For more information,see the Citation Policy,contact ,or call+1 866-367-7378.3Forrester Report Prepared For Meen Hu With Tencent Cloud Computing(Beijing)Company.,Ltd.Figure 1Forrester Wave:Cloud Data Warehouses,Q2 2023F
19、orrester Report Prepared For#fullName#With#organization#Not Licensed For Distribution.2023 Forrester Research,Inc.All trademarks are property of their respective owners.For more information,see the Citation Policy,contact ,or call+1 866-367-7378.4Forrester Report Prepared For Meen Hu With Tencent Cl
20、oud Computing(Beijing)Company.,Ltd.Figure 2Forrester Wave:Cloud Data Warehouses Scorecard,Q2 2023Forrester Report Prepared For#fullName#With#organization#Not Licensed For Distribution.2023 Forrester Research,Inc.All trademarks are property of their respective owners.For more information,see the Cita
21、tion Policy,contact ,or call+1 866-367-7378.5Forrester Report Prepared For Meen Hu With Tencent Cloud Computing(Beijing)Company.,Ltd.Vendor OfferingsForrester evaluated the offerings listed below(see Figure 3).Forrester Report Prepared For#fullName#With#organization#Not Licensed For Distribution.202
22、3 Forrester Research,Inc.All trademarks are property of their respective owners.For more information,see the Citation Policy,contact ,or call+1 866-367-7378.6Forrester Report Prepared For Meen Hu With Tencent Cloud Computing(Beijing)Company.,Ltd.Figure 3Evaluated Vendors And Product InformationVendo
23、r ProfilesOur analysis uncovered the following strengths and weaknesses of individual vendors.Forrester Report Prepared For#fullName#With#organization#Not Licensed For Distribution.2023 Forrester Research,Inc.All trademarks are property of their respective owners.For more information,see the Citatio
24、n Policy,contact ,or call+1 866-367-7378.7Forrester Report Prepared For Meen Hu With Tencent Cloud Computing(Beijing)Company.,Ltd.Leaders Oracles CDW has the broadest capabilities coupled with a strong vision.A long-standing player in the data warehouse market,Oracle offers comprehensive capabilitie
25、s,including support for zero-administration,hybrid and multicloud,integration with the high-performance Oracle Exadata server,integrated Azure/OCI cloud service,and broad in-database analytical capabilities.Oracle has a clear,differentiated vision for its product that supports accelerating use cases
26、 via a more automated and intelligent CDW that includes completely autonomous data warehouse administration,AI/ML,intelligent data tiering,and built-in security capabilities as well as extending to data fabric strategies.Oracles superior roadmap promises expanded capabilities for data streaming,ML/d
27、ata science,data collaboration,data lake integration,and multicloud support.Oracles current offering stands out for its autonomous data warehouse,real-time analytics,in-database analytics,data access and protection,deployment options,and broad use cases.Oracles capabilities in data models,data strea
28、ming,and data lake integration are on par,but they should improve to stay ahead of the market.Reference customers praise the Oracle Exadata platforms high-end performance,Azure/OCI cloud cohosting,extensive partner network,and broad vendor technical support.Oracle is an excellent fit for customers w
29、ho need to support large,complex,high-performance analytical workloads,including real-time analytics and operational workloads.Snowflake offers excellent self-service for a variety of analytical use cases.Snowflake is known for its self-service and its elastic,scalable CDW platform.Its solution is h
30、ighly automated to simplify provisioning,ingestion,transformation,and data processing,requiring zero administration.Snowflake is ahead of other vendors evaluated in innovation.It has invested quickly in new and emerging capabilities,including compute and storage separation,cross-cloud geodistributed
31、 business continuity,integrated pipeline,zero-copy cloning,cross-cloud governance,and Snowpark,which can push and run code on virtual warehouses.On Snowflakes superior roadmap are improvements in data sharing,governance,distributed data processing,pipelining,and workload management as well as furthe
32、r extension of self-service capabilities across regions.Snowflake excels in advanced CDW automation,ML/data science optimization,data protection,performance,scalability,and broad horizontal and vertical use cases.Snowflake has relatively few weaknesses in its current offering;dataForrester Report Pr
33、epared For#fullName#With#organization#Not Licensed For Distribution.2023 Forrester Research,Inc.All trademarks are property of their respective owners.For more information,see the Citation Policy,contact ,or call+1 866-367-7378.8Forrester Report Prepared For Meen Hu With Tencent Cloud Computing(Beij
34、ing)Company.,Ltd.modeling is a notable one.Reference customers report that Snowflake is exceptionally easy to use,delivers high performance and scale,works as designed,and has remained incident-and issue-free for years.However,they also raise concerns about cost control,growing ecosystem complexity,
35、governance,and manageability.Snowflake is a great fit for enterprises seeking a self-service CDW with BI at the core that want to expand to support broader use cases,including ML/data science,data marketplace,and data collaboration.Google has a scalable and performant CDW with a strong AI/ML focus.G
36、oogle BigQuery is a fully managed serverless CDW that utilizes columnar storage and can scale to hundreds of petabytes leveraging standard SQL.BigQuery integrates with Cloud BigTable,Google Cloud Storage,Cloud AI Notebooks,Dataplex,Looker,and Google Sheets,allowing users to join data across various
37、systems.BigQuery focuses on high-speed,real-time data ingestion,fast data transformation,and automation with AI/ML to simplify administration.Googles partner ecosystem stands out;the Google Cloud Platform marketplace has more than 500 partner solutions and offers analytics hub integration for data s
38、haring with thousands of commercial/public data sets.Google has a superior roadmap emphasizing a more open and intelligent CDW,broader data connectivity and streaming,data quality,distributed data governance,and multicloud.Google is strong in data lake integration,ML/data science workloads,in-databa
39、se analytics,data streaming,performance,scale,multistructured data,high-availability(HA)/disaster recovery(DR),and broad use cases.However,its semantic data models are primarily supported through Looker and its LookML modeling language.Reference customers like Googles serverless architecture,high-en
40、d scale and performance,geospatial and robust AI/ML capabilities,and support for broad analytical use cases.Some have reported a lack of support for local regulation compliance and performance issues when dealing with complex multiregional queries.Google is an excellent fit for enterprises that need
41、 a CDW with high-end performance and scale to support large,complex analytical workloads,including real-time analytics,AI/ML-driven,and data collaboration workloads.Teradata has exceptional analytics at scale and a strong vision.Teradata Vantage is a hybrid multicloud data analytics platform that un
42、ifies data warehouses,data lakes,analytics,and new data sources such as sensor data,IoT data,social media,and clickstreams.It combines open source and commercial technologies to operationalize insights;enable descriptive,predictive,and prescriptive analytics;and deliver performance with high query c
43、oncurrency.Forrester Report Prepared For#fullName#With#organization#Not Licensed For Distribution.2023 Forrester Research,Inc.All trademarks are property of their respective owners.For more information,see the Citation Policy,contact ,or call+1 866-367-7378.9Forrester Report Prepared For Meen Hu Wit
44、h Tencent Cloud Computing(Beijing)Company.,Ltd.Teradatas strong vision focuses on a strategy that includes AI/ML at scale,integrated data plane,data fabric,data mesh,semantic mapping,data intelligence,and hybrid multicloud.Teradata has demonstrated commitment to the category by working directly with
45、 customers(big and small)to ensure its current and planned enhancements align to customers data and analytics strategies through meaningful partnerships.Teradatas roadmap focuses on expanding capabilities around data collaboration,data intelligence,data modeling,distributed query,and data governance
46、.Teradatas strengths are in-database analytics,scale-out optimization,deployment options,multiregional support,and a broad set of analytics use cases.Teradata can continue to improve its support for data lake integration,data access,multistructured data,data models,and HA/DR capabilities.Reference c
47、ustomers praise Teradata Vantages hybrid cloud platform,reliability,elasticity,ease of cloud migration,integration with public cloud applications,and system tooling.However,some references report concerns about inconsistencies between on-premises and cloud in cost predictability and support services
48、.Teradata is an excellent fit for firms that want to support hybrid cloud CDW deployment with progression toward data mesh and data fabric architectures where reliability and availability are critical.Strong Performers Amazon Web Services has been broadly adopted but lags in semantics and modeling.A
49、mazon Redshift is a mature CDW with broad capabilities and an expanding ecosystem to support any workload and use case.It is a fully managed,petabyte-scaled data warehouse thats part of analytics on Amazon Web Services(AWS).AWSs vision and roadmap are on par with others evaluated.Although AWS has of
50、fered innovative features in the past,its current innovative capabilities are on par with others in this evaluation.However,its strong partner ecosystem continues to help organizations support nearly any data and analytical requirement.The vendors roadmap includes expanding capabilities to support d
51、ata sharing;geodistributed data;zero extract,transform,load;advanced AI/ML;and improvements in performance and scale.AWS offers strong support for data lake integration,ML/data science workloads,data protection,compliance,performance,and a broad set of use cases.It is on par with others evaluated in
52、 in-database analytics,data access,multistructured data,deployment options,and administration automation.However,it lags inForrester Report Prepared For#fullName#With#organization#Not Licensed For Distribution.2023 Forrester Research,Inc.All trademarks are property of their respective owners.For mor
53、e information,see the Citation Policy,contact ,or call+1 866-367-7378.10Forrester Report Prepared For Meen Hu With Tencent Cloud Computing(Beijing)Company.,Ltd.offering semantic data models to help with various industry-specific deployments.Reference customers like AWSs data lake integration,Postgre
54、s compatibility,serverless architecture,reliability,resiliency,and AI/ML capabilities.Some references have concerns about the lack of clarity and predictability in serverless costs,data mesh and data fabric strategy,and advanced automation.AWS is a great fit for customers that want to migrate from o
55、n-premises to the cloud and need to support an integrated data warehouse with data lakes and AI/ML capabilities.SAP has a solid CDW offering that is evolving toward a data fabric solution.SAP joined the CDW bandwagon a few years ago,offering a unified data and analytics solution that enables you to
56、connect,transform,model,and visualize data and gain real-time insights.SAPs strategy is shifting to focus on broader data and analytics offerings,including data fabric and data mesh,expanding support for workload management,intelligent data tiering,multimodel,and distributed queries.While SAP has a
57、strong vision that focuses on delivering an integrated data fabric through advanced intelligence,domain semantics,automation,and personalized self-service experience,its roadmap for CDW is on par with others evaluated.It continues to make strategic investments to broaden its partner ecosystem,includ
58、ing integration with non-SAP environments.SAPs strengths are in-database analytics,semantic data modeling,data transformation,and visualization,but it lags in built-in data streaming,ML/data science optimization,high-end performance and scale,and HA/DR capabilities.Reference customers appreciate SAP
59、s frequency of releases,technical support,ease of use,establishment of a common semantic layer,business value,and integration with enterprise resource planning data.However,some indicate SAPs solution is expensive,available skills lack,and cloud capabilities lag,compared with on-premises.SAP is a go
60、od fit for large organizations using SAP products or evolving their architectures from a data warehouse to a data fabric strategy.Microsoft offers broad use cases but lags in automation and high-end scale.Azure Synapse is an analytics service that combines data warehouse,data integration,real-time o
61、perational analytics,and data analytics to deliver a unified experience to ingest,explore,prepare,manage,and serve data for BI and ML use cases in a single cloud service.Microsofts vision,roadmap,and innovation are on par,but it has a strong partner ecosystem of global and regional system integrator
62、 and ISV partners that go through a rigorous certification process to ensure standards across various vertical industries.Although Microsoft has a broad offering and adoption,it lacks the cutting-edge CDW capabilities to differentiate itForrester Report Prepared For#fullName#With#organization#Not Li
63、censed For Distribution.2023 Forrester Research,Inc.All trademarks are property of their respective owners.For more information,see the Citation Policy,contact ,or call+1 866-367-7378.11Forrester Report Prepared For Meen Hu With Tencent Cloud Computing(Beijing)Company.,Ltd.from the competition.Micro
64、softs roadmap focuses on improved data warehouse automation,data streaming,data security,data modeling,and AI/ML capabilities.Microsoft has a broad range of data warehouse capabilities,mostly on par with others evaluated.Microsoft is a good fit for organizations looking to expand their traditional S
65、QL server and Azure SQL data warehouses to support real-time analytics and broader CDW use cases.Microsoft did not provide any reference customers for this evaluation.IBM offers a viable CDW but trails in innovation and high-end scale.IBM Db2 Warehouse on Cloud is an elastic,fully managed CDW that d
66、elivers independent scaling of storage and compute to support various use cases.IBM is known for its in-database analytics,automated resource management,data models,and support for data fabric platforms.IBMs partner ecosystem is outstanding,and IBMs vision and roadmap are on par with the competitive
67、 set.However,IBM hasnt demonstrated innovation in the data warehouse space and is mostly playing catch-up with leading CDW vendors.IBMs roadmap promises improvements in its price/performance ratio,scale,data intelligence,open data formats,lakehouse integration,advanced automation,and cloud and hybri
68、d deployment flexibility.IBMs key strengths lie in in-database analytics,data models,HA/DR,and broad vertical use cases.It needs to improve on ML/data science workloads,high-end performance,and support for multistructured data.Reference customers regard IBMs flexible platform,stability,vendor suppor
69、t,and data models positively.Some references called out performance and scale issues when dealing with very large data(hundreds of terabytes),while others have cited high-cost concerns.IBM is a good fit for customers that have Db2 or are looking to support the new generation of real-time analytics w
70、orkloads spanning hybrid cloud and multicloud environments.Alibaba Cloud has a viable analytical solution for global use cases.Alibaba offers a broad range of infrastructure,platform,and analytics services,including MaxCompute,AnalyticDB,Hologres,and EMR to support various large-scale data warehouse
71、 use cases.Although most of Alibabas CDW deployments remain in China,the products are available in 16 countries and regions,with customers in the finance,internet,biomedical,energy,transportation,and media industries.Alibaba offers real-time and exabyte-scale capabilities to support any CDW requirem
72、ent.Alibaba has an on-par vision and roadmap.However,it lags other vendorsevaluated in data warehouse innovation.Alibabas roadmap emphasizesexpanding capabilities around data streaming,data protection,global compliance,Forrester Report Prepared For#fullName#With#organization#Not Licensed For Distrib
73、ution.2023 Forrester Research,Inc.All trademarks are property of their respective owners.For more information,see the Citation Policy,contact ,or call+1 866-367-7378.12Forrester Report Prepared For Meen Hu With Tencent Cloud Computing(Beijing)Company.,Ltd.data models,global data centers,and automati
74、on.Alibaba is strong in data lake integration,ML/data science platform optimization,performance,and scale.However,it lags in data models and could improveautomation,built-in data streaming,and multistructured data.Reference customerspraise Alibabas ML operations(MLOps)integration,scalability,serverl
75、ess architecture,governance,and performance.Alibaba is a good fit for customers with presence in China that need to globally support large and complex data and analytics implementations for data engineering,data science,ML,customer 360,and operational analytics.Cloudera excels in large-scale analyti
76、cs but lags in automation and data models.Cloudera Data Platform(CDP)delivers a broad data lifecycle ecosystem across hybrid and multiple clouds to support modern data-driven insights and analytics.Cloudera Data Warehouse fully integrates with CDP to provide easy-to-use self-service and advanced ana
77、lytics use cases at scale.Clouderas strategic advantage is its partner ecosystem,resulting from its long presence in the data platform market.Due to less alignment between its offering and the needs of the CDW market,Cloudera has a weaker roadmap than others in this evaluation.Its overall vision is
78、on par with competitors.Forrester expects Cloudera to focus on distributed data processing,ease of use,observability,lakehouse,and improved management.Cloudera is strong in data lake integration,built-in data streaming,ML/data science optimization,multistructured data,multiregional deployment,and br
79、oad use cases.However,it lags in automation and semantic data models.Reference customers praise Clouderas ML capabilities,support for open source tools,and price/performance.Cloudera is a good fit for customers that require data processing and persistence for large and complex data to support modern
80、 use cases,including data engineering,data science,ML,customer 360,and operational analytics.Contenders OpenText delivers a scalable low-cost CDW that needs better automation.Vertica by OpenText is a massively parallel processing(MPP)shared-nothing data warehouse that scales to support CDW workloads
81、.Vertica is optimized and preconfigured to run on multiple clouds and on-premises.Verticas Eon Mode separates compute from storage and leverages low-cost S3 object storage,the ability to compute to variable workloads,and optimized analytical performance.Forrester Report Prepared For#fullName#With#or
82、ganization#Not Licensed For Distribution.2023 Forrester Research,Inc.All trademarks are property of their respective owners.For more information,see the Citation Policy,contact ,or call+1 866-367-7378.13Forrester Report Prepared For Meen Hu With Tencent Cloud Computing(Beijing)Company.,Ltd.While Ver
83、ticas innovation is on par with other vendors evaluated,its roadmap and vision lag.Verticas roadmap includes serverless,workload management,MLOps,and geodistributed data improvements.Vertica is strong in in-database analytics,scalability,built-in data streaming,multistructured data,and broad use cas
84、es.Although it offers AI-automated data modeling capability,it lags in semantics.Reference customers like Verticas reliability,scalability,and support.Vertica is a good fit for enterprises looking for a hybrid cloud and multicloud deployment that supports ease of deployment,in-database analytics,str
85、eaming data,and AI/ML capabilities.Exasol has a reliable low-cost CDW solution but lags in high-end performance and scale.Exasol is a fully managed,column-oriented data warehouse that supports real-time analytical use cases.Although Exasol is designed to run in memory,data is persisted to disk with
86、ACID compliance and has self-tuning capabilities to optimize performance.Exasols vision and innovation are on par with other vendors evaluated.However,its roadmap mostly plays catch-up on CDW capabilities.Exasols roadmap emphasizes improved CDW automation,performance,scale,support for semantic-drive
87、n data modeling,broader HA/DR across geodistributed regions,and expansion of business use cases.Exasol is strong on deployment options,including support for on-premises and multicloud.However,it is on par with others in data lake integration,in-database analytics,built-in data streaming,administrati
88、on automation,ML/data science optimization,data access and protection,and multiregional support.Exasol lags in high-end performance and scale and semantic data modeling.Reference customers like Exasols reliability,cost,and technical support but have concerns about the scalability,performance,lack of
89、 administration tools,and partner ecosystem.Exasol is a good fit for enterprises looking for a low-cost solution for hybrid and multicloud environments to support real-time analytics for CDW deployments of fewer than 100 terabytes.Tencent offers a viable CDW in the APAC region but lacks a differenti
90、ated roadmap.Tencent Cloud offers a full-stack cloud-native data warehouse that focuses on supporting various BI and AI/ML data science use cases in an online and offline hybrid deployment.Tencents roadmap and vision lag largely because the vendors focus and investments have mostly been in data cent
91、er infrastructure,IoT,security,and AI,with CDW not getting the spotlight.Also,Tencent offers no standout or differentiated capabilities in its CDW offering.Pricing flexibility and transparency have been strong,offering organizations a low-cost alternative.Forrester Report Prepared For#fullName#With#
92、organization#Not Licensed For Distribution.2023 Forrester Research,Inc.All trademarks are property of their respective owners.For more information,see the Citation Policy,contact ,or call+1 866-367-7378.14Forrester Report Prepared For Meen Hu With Tencent Cloud Computing(Beijing)Company.,Ltd.Tencent
93、s roadmap focuses on data services,data security,performance improvement,and collaboration.Tencent is strong in scale-out optimization and built-in data streaming and on par with competitors for most other capabilities.Tencent lags the competitive set in semantic data modeling.Reference customers li
94、ke Tencents scalability,reliability,cost,and technical support but have concerns about compatibility in a multicloud environment,upgrade efficiency,customization of platform,and vendor lock-in.Tencent is a good fit for enterprises with a regional focus in APAC looking for a scalable solution with hi
95、gh-speed streaming data ingestion with AI/ML capabilities.Yellowbrick offers a basic CDW for straightforward use cases of limited scale.Yellowbrick Data Warehouse is a full-service MPP analytic database that runs in public clouds(e.g.,AWS,Google Cloud Platform,and Microsoft Azure)and on-premises.It
96、offers native real-time streaming ingest,hybrid cloud georeplication across data centers,and access to data from multiple public clouds simultaneously.Although Yellowbrick has doubled the number of partners over the past year with the addition of channel and cloud technology partners,it lags in supp
97、orting end-to-end data and analytical frameworks and complex migrations with partners for simplified implementations.Yellowbricks innovation and roadmap are on par with other vendors evaluated,but its vision is not differentiated.Yellowbricks roadmap focuses on performance,geospatial data,data lake
98、integration,and scalability.Yellowbrick is on par with other vendors in administration automation,in-database analytics,built-in data streaming,data access,data protection,multistructured data,HA/DR,and multiregional support.However,many enterprise features trail others evaluated,including data lake
99、 integration,ML/data science optimization,high-end performance and scale,and semantic data models to support large-scale mission-critical analytical requirements.Reference customers voiced concerns about the backup automation,software release quality for major changes,partner ecosystem certification
100、,FedRAMP timeline,and DR automation.Yellowbrick is a good fit for enterprises looking for a low-cost solution to support small to medium-size BI and SQL analytical workloads.Actians CDW lags in core features and best suits basic use cases.Actian Avalanche Cloud Data Platform provides a unified exper
101、ience for ingesting,transforming,analyzing,and storing business data.It offers flexible deployment options,including support for on-premises,cloud,hybrid,and multicloud environments.The platform goes beyond data warehouse capabilities to supportForrester Report Prepared For#fullName#With#organizatio
102、n#Not Licensed For Distribution.2023 Forrester Research,Inc.All trademarks are property of their respective owners.For more information,see the Citation Policy,contact ,or call+1 866-367-7378.15Forrester Report Prepared For Meen Hu With Tencent Cloud Computing(Beijing)Company.,Ltd.data integration,d
103、ata management,and data analytics services for insights,analytics,and applications.Although Actians vision and innovation are on par with other vendors,its roadmap is not differentiated.Actian mostly plays catch-up on foundational CDW capabilities.Actians roadmap will likely see enhancements to the
104、broader platform offering to improve data management,data marketplace,data sharing,and AI/ML.Actian is on par with other vendors for administration automation,data lake integration,data access,data protection,and HA/DR capabilities.However,many key CDW foundational features lag the competition,inclu
105、ding the in-database analytics,built-in data streaming,ML/data science optimization,performance,scale,multistructured data,data model,and multiregional support.While some reference customers praised the support and business value proposition,others expressed concerns around scalability and performan
106、ce.Actian is a good fit for enterprises looking for a low-cost solution to support data warehouses with an eye to expand to broader data platforms,including data fabric and data mesh architectures.Evaluation OverviewWe grouped our evaluation criteria into three high-level categories:Current offering
107、.Each vendors position on the vertical axis of the Forrester Wave graphic indicates the strength of its current offering.Key criteria for these solutions include administration,analytics,security,performance,data types and model,and deployment.Strategy.Placement on the horizontal axis indicates the
108、strength of the vendors strategies.We evaluated vision,innovation,roadmap,partner ecosystem,adoption,and pricing flexibility and transparency.Market presence.Represented by the size of the markers on the graphic,our market presence scores reflect each vendors revenue and number of customers.Vendor I
109、nclusion CriteriaEach of the vendors we included in this assessment has:A comprehensive CDW offering.A key component of the CDW architecture is leveraging the public cloud for all data warehouse functions including provisioning,persistence,processing,transforming,and accessing of data.The CDW should
110、 provide data access and monitoring tools,HA/DR options,automationForrester Report Prepared For#fullName#With#organization#Not Licensed For Distribution.2023 Forrester Research,Inc.All trademarks are property of their respective owners.For more information,see the Citation Policy,contact ,or call+1
111、866-367-7378.16Forrester Report Prepared For Meen Hu With Tencent Cloud Computing(Beijing)Company.,Ltd.capabilities,and features to secure data,enable elastic scale,and support loading and unloading of data.A standalone CDW service running in the public cloud.The vendors included in this evaluation
112、provide CDW services that organizations can implement or use independent of other analytics,data science,and visualization tools.The service being evaluated should not technologically tie to or bundle with any application or broader non-data-warehouse solution.Data warehouse use cases.The CDW should
113、 have customers supporting one or more of the following use cases IoT analytics,customer 360,advanced analytics,and real-time analytics.Referenceable install bases.The CDW should have 25 or more unique paying customers using the CDW service that span more than one major geographical region.Each vend
114、or must provide at least three customer references.Forrester customer interest.Forrester only included vendors that were mentionedseveral times by customers during Forrester inquiry calls during the past 12 months related to CDW topics.Supplemental MaterialOnline ResourceWe publish all our Forrester
115、 Wave scores and weightings in an Excel file that provides detailed product evaluations and customizable rankings;download this tool by clicking the link at the beginning of this report on F.We intend these scores and default weightings to serve only as a starting point and encourage readers to adap
116、t the weightings to fit their individual needs.The Forrester Wave MethodologyA Forrester Wave is a guide for buyers considering their purchasing options in a technology marketplace.To offer an equitable process for all participants,Forrester follows The Forrester Wave Methodology to evaluate partici
117、pating vendors.In our review,we conduct primary research to develop a list of vendors to consider for the evaluation.From that initial pool of vendors,we narrow our final list based on the inclusion criteria.We then gather details of product and strategy through a detailed questionnaire,demos/briefi
118、ngs,and customer reference surveys/interviews.We use those inputs,along with the analysts experience and expertise in the marketplace,to score vendors,using a relative rating system that compares each vendor against the others in the evaluation.Forrester Report Prepared For#fullName#With#organizatio
119、n#Not Licensed For Distribution.2023 Forrester Research,Inc.All trademarks are property of their respective owners.For more information,see the Citation Policy,contact ,or call+1 866-367-7378.17Forrester Report Prepared For Meen Hu With Tencent Cloud Computing(Beijing)Company.,Ltd.We include the For
120、rester Wave publishing date(quarter and year)clearly in the title of each Forrester Wave report.We evaluated the vendors participating in this Forrester Wave using materials they provided to us by April 7,2023,and did not allow additionalinformation after that point.We encourage readers to evaluate
121、how the market andvendor offerings change over time.In accordance with our vendor review policy,Forrester asks vendors to review our findings prior to publishing to check for accuracy.Vendors marked as nonparticipating vendors in the Forrester Wave graphic met our defined inclusion criteria but decl
122、ined to participate in or contributed only partially to the evaluation.We score these vendors in accordance with our vendor participation policy and publish their positioning along with those of the participating vendors.Integrity PolicyWe conduct all our research,including Forrester Wave evaluation
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