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Why Read This Report In our 30-criterion evaluation of value stream management (VSM) providers, we identified the 11 most significant ones — Atlassian, Blueprint, CloudBees, ConnectALL, Digital.ai, GitLab, IBM, Plutora, ServiceNow, Targetprocess, and Tasktop — and researched, analyzed, and scored them. This report shows how each provider measures up and helps application development and delivery (AD&D) professionals select the right one for their needs. Strong interest in VSM is driven primarily by three roles: 1) product owners and/or program managers who need data to help drive strategies, set priorities, and unlock team potential; 2) development leaders who use VSM to create connected, automated, and self-governed CI/CD pipelines with observability for improving and accelerating the pace of delivery; and 3) release engineers who use VSM for governance, compliance, and upstream observability to manage risk. (see endnote 3) To serve these roles effectively, customers should look f...

While traditional data warehouses often took years to build, deploy, and reap benefits from, today's organizations want simple, agile, integrated, cost-effective, and highly automated solutions to support insights. In addition, traditional architectures are failing to meet new business requirements, especially around high-speed data streaming, real-time analytics, large volumes of messy and complex data sets, and self-service. As a result, firms are revisiting their data architectures, looking for ways to modernize to support new requirements. DMA is a modern architecture that minimizes the complexity of messy data and hides heterogeneity by embodying a trusted model and integrated policies and by adapting to changing business requirements. It leverages metadata, in-memory, and distributed data repositories, running on-premises or in the cloud, to deliver scalable and integrated analytics. Adoption of DMA will grow further as enterprise architects look at overcoming data challeng...

Key Takeaways Software AG, IBM, Microsoft, Google, And TIBCO Software Lead The Pack Forrester's research uncovered a market in which Software AG, IBM, Microsoft, Google, and TIBCO Software are Leaders; Cloudera, SAS, Amazon Web Services, and Impetus are Strong Performers; and EsperTech and Alibaba are Contenders. Analytics Prowess, Scalability, And Deployment Freedom Are Key Differentiators Depth and breadth of analytics types on streaming data are critical. But that is all for naught if streaming analytics vendors cannot also scale to handle potentially huge volumes of streaming data. Also, it's critical that streaming analytics can be deployed where it is most needed, such as on-premises, in the cloud, and/or at the edge. Read report >>>

Key Takeaways MongoDB, Microsoft, Couchbase, AWS, Google, And Redis Labs Lead The Pack Forrester's research uncovered a market in which MongoDB, Microsoft, Couchbase, AWS, Google, and Redis Labs are Leaders; MarkLogic, DataStax, Aerospike, Oracle, Neo4j, and IBM are Strong Performers; and SAP, ArangoDB, and RavenDB are Contenders. Performance, Scalability, Multimodel, And Security Are Key Differentiators The Leaders we identified support a broader set of use cases, automation, good scalability and performance, and security offerings. The Strong Performers have turned up the heat on the incumbents. Contenders offer lower costs and are ramping up their core NoSQL functionality. THE RISE OF BIG DATA NOSQL PLATFORMS NoSQL is more than a decade old. It has gone from supporting simple schemaless apps to becoming a mission-critical data platform for large Fortune 1000 companies. It has already disrupted the database market, which was dominated for decades by relational datab...

Evaluated Vendors And Inclusion Criteria Forrester included 14 vendors in the assessment: Alibaba, AWS, Exasol, Google, Hortonworks, Huawei, IBM, MarkLogic, Micro Focus, Microsoft, Oracle, Pivotal, Snowflake, and Teradata. Each of these vendors has ( see Figure 1 ): A comprehensive CDW offering. Key components of the CDW include the provisioning, storing, processing, transforming, and accessing of data. The CDW should provide features to secure data, enable elastic scale, provide high availability and disaster recovery options, support loading and unloading of data, and provide various data access tools. A standalone data warehouse service running in the public cloud. Vendors included in this evaluation provide a CDW service that organizations can implement or use independent of analytics, data science, and visualization tools. The service should not be technologically tied to or bundled with any particular application or solution. Data warehouse use cases. The CDW service shoul...

Key Takeaways Talend, Denodo Technologies, Oracle, IBM, And Paxata Lead The Pack Forrester's research uncovered a market in which Talend, Denodo Technologies, Oracle, IBM, and Paxata are Leaders; Hortonworks, Cambridge Semantics, SAP, Trifacta, Cloudera, and Syncsort are Strong Performers; and Podium Data, TIBCO Software, Informatica, and Hitachi Vantara are Contenders. EA Pros Are Looking To Support Multiple Use Cases With Big Data Fabric The big data fabric market is growing because more EA pros see big data fabric as critical for their enterprise big data strategy. Scale, Performance, AI/Machine Learning, And Use-Case Support Are Key Differentiators The Leaders we identified support a broader set of use cases, enhanced AI and machine learning capabilities, and offer good scalability features. ...