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Big Data 50—Companies Driving Innovation in 2019

A global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology, and operations, Accenture combines experience and specialized skills across more than 40 industries and all business functions.

A hybrid data management, analytics and integration company, Actian delivers data as a competitive advantage to thousands of customers worldwide to help ensure that business-critical systems can transact and integrate at their very best on-premise, in the cloud, or both.

Powered by a Hybrid Memory Architecture and autonomic cluster management, Aerospike is deployed in the financial services, banking, telecommunications, technology, retail, ecommerce, ad tech, martech, and gaming industries and is well-suited for applications that require extreme uptime, performance, and scalability.

Big Data Trailblazer by Srini Srinivasan, Chief Product Officer and Founder

In working with customers across industries around the globe, I’ve found they each have critical real-time business moments that can make or break their customer experience.

Data ingestion rates are increasing so rapidly that it has become impossible to make the best possible decision using a traditional system architecture combining a cache with an operational database. Aerospike is a high-performance database that runs as fast as a cache and supports real-time applications at extremely high scale.

Unlike legacy NoSQL databases, Aerospike’s unique Hybrid Memory Architecture unlocks the full potential of modern hardware and entirely eliminates the friction that prevents companies from delivering unimaginable value from vast amounts of data at the edge, in the core, and on the cloud.

Aerospike powers hyperscale data solutions that give customers what they call an unbreakable competitive advantage. They save millions with a smaller, simpler-to-manage footprint. As a result, they can free up resources to make investments in important areas like IoT, machine learning, and artificial intelligence.

Aerospike enterprises are some of the boldest and most innovative companies in the world. Aerospike’s vision is to make it easy and affordable for companies of all sizes to build next-generation hyperscale data solutions similar to those built internally by the largest internet-scale companies like Google and Facebook.

We are proud to have helped companies like Adobe, Airtel, FlipKart, Kayak, Nielsen, Nokia, PayPal, and Snap meet their customer needs in the moments that matter.

FOR MORE INFORMATION, visit Aerospike.com.


The developer of open source data orchestration software for the cloud, Alluxio aims to move data closer to big data and machine learning compute frameworks across clusters, regions, clouds and countries, providing memory-speed data access to files and objects.

Big Data Trailblazer by Steven Mih, CEO

Today we see more enterprise architectures shifting to hybrid and multi-cloud environments. And while this shift allows for more flexibility and agility, it also means having to separate compute from storage, creating new challenges in how data needs to be managed and orchestrated across frameworks, clouds, and storage systems.

To address these data challenges, enterprises are adopting a new platform: a data orchestration platform. A unified data orchestration platform simplifies your data’s cloud journey and fundamentally enables separation of storage and compute. It brings speed and agility to analytic and AI workloads, reduces costs by eliminating data duplication, and enables users to move to newer storage solutions like object stores.

Proven at global web scale in production for modern data services, Alluxio is the developer of open source data orchestration software for the cloud. Founded at UC Berkeley’s AMPLab by the creators of the Tachyon open source project, it is a compute agnostic, storage agnostic and cloud agnostic solution for analytic and machine learning applications.

Alluxio moves data closer to big data and machine learning compute frameworks in any cloud across clusters, regions, clouds and countries, providing memory-speed data access to files and objects. Intelligent data tiering and data management deliver consistent high performance to customers across all industries.

Learn more at https://www.alluxio.io/data-orchestration/

Amazon Web Services
A subsidiary of Amazon.com, Amazon Web Services is a comprehensive cloud platform, spanning 69 availability zones within 22 geographic regions around the world, with announced plans for nine more availability zones and three more regions in Cape Town, Jakarta, and Milan.

Arcadia Data
Founded with the mission to connect business users to big data for powerful insights, Arcadia’s enterprise provides AI-driven in-data-lake analytics and BI software that runs natively within modern data platforms and can analyze large volumes of data without moving it.

Attunity, a division of Qlik
A leader in modern data integration enabling enterprises to employ DataOps for analytics for better business outcomes, Attunity provides a platform that accelerates the discovery and availability of analytics-ready data by automating real-time data streaming, refinement, cataloging, and publishing.

Cambridge Semantics
A modern data management and enterprise analytics software company, Cambridge Semantics helps enable seamless access, integration, and analysis of all enterprise data via a graph-driven data fabric architecture to allow IT departments and business users to accelerate data delivery.

Delivering an enterprise data cloud for any data, anywhere, Cloudera emphasizes equivalent functionality on- and off-premise with support for hybrid and multi-cloud; application of multiple analytic functions; emphasis on security and compliance; and support for open compute architectures and open data stores.

Engineered to solve complex data scenarios, CloverDX provides a data integration platform for designing, automating, and operating data jobs at scale, whether migrating data from a legacy system to the cloud, or ingesting information from multiple sources into a BI system.

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