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Big Data 75: Companies Driving Innovation in 2023

Cinchy is leading the liberation of data by enabling organizations to free it from their applications, databases, and spreadsheets, connecting it within a network-based architecture that supports enterprise-wide collaboration.

Empowering the transformation of data anywhere into trusted enterprise AI, Cloudera can reduce costs and risks, increase productivity, and accelerate business performance with its open data lakehouse, enabling secure data management and portable, cloud-native data analytics.

Clumio’s massively scalable data protection service helps the world’s leading enterprises automate the protection and recovery of critical data in applications, data lakes, and other data services on AWS.

Cockroach Labs
The creator of CockroachDB, the most highly evolved, cloud-native, distributed SQL database, Cockroach Labs helps companies of all sizes—and the apps they develop—to scale fast, survive failures, and thrive everywhere.

Collibra unites organizations by delivering trusted data for every use, for every user, and across every source with its Data Intelligence Cloud that brings flexible governance, continuous quality, and built-in privacy to all types of data.

Modern customer experiences need a flexible database platform that can power applications spanning from cloud to edge and everything in between. It’s Couchbase’s mission to simplify how developers and architects develop, deploy, and consume modern applications wherever they are.

Founded by the original creators of Delta Lake, Apache Spark, and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems with its Databricks Lakehouse Platform that unifies data, analytics, and AI.

Dataiku is the platform for Everyday AI, enabling data and domain experts to work together to build AI into their daily operations, from advanced analytics to generative AI.

With DataStax, any enterprise can mobilize real-time data and quickly build the smart, highly scalable applications required for a data-driven business with Astra DB and Astra Streaming, harnessing the power of Apache Cassandra with advanced Apache Pulsar streaming technology.

Deephaven Data Labs is a technology company that builds data software for modern teams with its mission to bring people together around the data that matters to them.

Big Data Trailblazer by Pete Goddard, CEO

DATA CHANGES. Applications and analytics need to react in real time. Automation relies on timely updates. Current data—not stale data—drives industry and risk. Money is made in the now.

Deephaven provides tools for teams and enterprises serious about real-time and streaming data. Pipelines, applications, and user experiences must work magically—in either a stream-only world or one that combines real-time with batch and historical data.

Originally developed to serve quantitative Wall Street (where real-time competency has been table stakes for decades), Deephaven has open-sourced and evolved its technology to serve Kafka, Redpanda, and streaming users across industries.

Deephaven’s software empowers teams to work with dynamic and batch data seamlessly, relying on a modular stack not found elsewhere. Three core components make it all go: (1) A data engine driven by incremental updates, (2) An Arrow-Flight compatible API that brings Kafka and gRPC ecosystems together, and (3) Web-UI infrastructure with workflows and dashboards that make real-time app-dev and analytics easy.

Fundamental to Deephaven’s value proposition is its embrace of “Streaming Tables,” patented Dataframe infrastructure that tracks changes in tables (“deltas”), enabling users to move much less data over the wire and materially accelerate calculations as the world turns.

Though its prowess with real-time data processing is the headliner, Deephaven’s accessibility and interoperability for the different personas on sophisticated data teams drive huge value. Python scientists, Java experts, JavaScript developers,SQL engineers, and non-technical business people coalesce around a single framework, inheriting familiar tools andpowerful workflows. Less friction. Faster results.

Real-time processing and team productivity drive Deephaven’s community.


Dell EMC
Part of Dell Technologies, Dell EMC sells data storage, information security, virtualization, analytics, cloud computing, and other products and services that enable organizations to store, manage, protect, and analyze data.

A leader in data management, Denodo’s platform provides data integration, management, and delivery using a logical approach to enable self-service BI, data science, hybrid/multi-cloud data integration, and enterprise data services.

Big Data Trailblazer by Ravi Shankar, SVP & Chief Marketing Officer

THE DENODO PLATFORM, powered by data virtualization, is the leading data integration, management, and delivery platform, using a logical approach to enable selfservice business intelligence (BI), data science, hybrid/multi-cloud data integration, and enterprise data services.

When Denodo released the first version of its platform in 2002, we pioneered data virtualization. We established the modern data virtualization market and continue to drive it forward with our data management innovations.

Since its launch, the Denodo Platform has greatly expanded its capabilities, leveraging data virtualization as the core foundation. The platform took on support for data virtualization in the cloud, dynamic query optimization, a full-featured data catalog, and artificial intelligence (AI).

Today, the Denodo Platform offers a whole lot more: a universal semantic layer, enabling organizations to seamlessly establish data marketplaces without affecting the underlying data; centrally manage data security using attribute-based access control (ABAC), which combines semantic layer, tagging, and session attributes to enable highly granular access policies, defined globally based on data sensitivity, user roles, business requirements, and other factors; support for the widest possible delivery options, including REST and GraphQL APIs, Kafka, and JMS message queues; and many other features.

The Denodo Platform, with its logical data management capabilities, is helping organizations of every stripe across the globe to modernize their data infrastructures and support emerging architectures like data fabric and data mesh.

Denodo is recognized as a Leader in Gartner’s Magic Quadrant for Data Integration Tools and Forrester’s Enterprise Data Fabric Wave.

Denodo Technologies

Dremio is the easy and open data lakehouse, providing self-service analytics with data warehouse functionality and data lake flexibility across all of your data using Dremio’s lightning-fast SQL query service.

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