Big Data

Measured in terms of volume, velocity, and variety, big data represents a major disruption in the business intelligence and data management landscape, upending fundamental notions about governance and IT delivery. With traditional solutions becoming too expensive to scale or adapt to rapidly evolving conditions, companies are scrambling to find affordable technologies that will help them store, process, and query all of their data. Innovative solutions will enable companies to extract maximum value from big data and create differentiated, more personal customer experiences.

Latest Research

  • For Enterprise Architecture Professionals

    REPORT: The Forrester Wave™: Big Data NoSQL, Q1 2019

    The 15 Providers That Matter Most And How They Stack Up

    March 14, 2019 Noel Yuhanna

    NoSQL has become critical for all businesses to support modern business applications. In our 26-criterion evaluation of NoSQL providers, we identified the 15 most significant ones — Aerospike, Amazon Web Services (AWS), ArangoDB, Couchbase, DataStax, Google, IBM, MarkLogic, Microsoft, MongoDB, Neo4j, Oracle, RavenDB, Redis Labs, and SAP — and researched, analyzed, and scored them. This report shows how each provider measures up and helps enterprise architecture (EA) professionals select the right one for their needs.

  • For Enterprise Architecture Professionals

    REPORT: Future-Proof Your Data Management Architecture

    Seven Strategies To Consider In Keeping Your Architectures Current

    March 13, 2019 Noel Yuhanna

    Changing business requirements and new technologies drive constant change in data management architectures. Without an effective data management strategy, organizations won't meet the growing business demand to deliver trusted and secure data for business applications and insights. This report shows enterprise architecture (EA) pros how to invest in future-proofing their data management architectures to respond more quickly to customer needs and competitive threats and to enable the delivery of innovative products and services.

  • For Enterprise Architecture Professionals

    REPORT: The Forrester Wave™: Cloud Hadoop/Spark Platforms, Q1 2019

    The 11 Providers That Matter Most And How They Stack Up

    February 13, 2019 Noel Yuhanna, Mike Gualtieri

    Cloud Hadoop/Spark (HARK) platforms accelerate insights by automating the storage, processing, and accessing of big data. In our 25-criterion evaluation of HARK providers, we identified the 11 most significant ones — Amazon Web Services (AWS), Cloudera, Google, Hortonworks, Huawei, MapR, Microsoft, Oracle, Qubole, Rackspace, and SAP — and researched, analyzed, and scored them. This report shows how each provider measures up and helps enterprise architecture (EA) professionals select the right one for their needs. Note: Cloudera and Hortonworks completed their planned merger on January 3, 2019, and will continue as Cloudera. This Forrester Wave reflects our evaluation of each company's independent HARK platforms prior to the completion of the merger.

  • For CIO Professionals

    REPORT: The Forrester Wave™: Enterprise Insight Platforms, Q1 2019

    The Nine Providers That Matter Most And How They Stack Up

    January 7, 2019 Brian Hopkins

    In our 21-criterion evaluation of enterprise insight platforms (EIPs), which combine data management, analytics, and insight application development tooling, we identified the nine most significant ones — EdgeVerve, GoodData, Google, IBM, Microsoft, Reltio, SAP, SAS, and TIBCO Software — and researched, analyzed, and scored them. This report shows how each provider measures up and helps CIO professionals make the right choice when selecting an enterprise insight platform.

  • For Enterprise Architecture Professionals

    REPORT: Data Technology Pathfinder

    Landscape: The Data Management Playbook

    December 19, 2018 Michele Goetz

    The variety, velocity, and volume of data continue to explode; business stakeholders want direct access to diverse data; and firms now set policies and assume the risk of data management and usage. In light of all this, enterprise architecture (EA) pros need to modernize their firms' data management environments. To do so, they must intertwine business strategy and data strategy through shared goals. This report outlines the varied and complex data management landscape and what to expect as data technology and solutions evolve. This is an update of a previously published report; Forrester reviews and revises it periodically for continued relevance and accuracy.

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