<< back Page 3 of 6 next >>

Big Data 50: Companies Driving Innovation in 2022

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

WHILE VOLUME, veracity, and variety still define big data, some of the current trends in big data are around hybrid/multi-cloud infrastructures, cloud-based data lakes and data lakehouses, and artificial intelligence/machine learning (AI/ML). Citizen users are
now being brought into big data initiatives. Giving secure, governed access to trusted data, for a wide variety of users, is topof-
mind for every organization, and it can be challenging.

How do organizations tackle those challenges? Organizations often seek to establish a monolithic repository of all enterprise data, for simpler access and governance. But data will always be distributed. It may be because certain data repositories were cherry-picked from different cloud providers, or because data is distributed across both cloud and on-premises systems. While cloud data stores help in reducing TCO and increasing the scalability of certain datasets, other datasets remain siloed, posing immense challenges in data access, governance, time-to-insight, and security. This affects the data and analytics goals of any organization.

Logical data fabric is a forward-thinking approach to data management that provides a powerful, distributed, and logical architecture, aimed at addressing the big data challenges of today’s enterprises. A virtual layer, enabled by the Denodo Platform, offers an enterprise-ready foundation for logical data fabric. The Denodo Platform provides a thorough set of components that enable multiple integration strategies, advanced performance techniques, and AI-based recommendations. It also offers multiple UIs tailored for different personas, so big data can be democratized within any organization.

Denodo Technologies

Offering the flexibility of its lightning-fast SQL query service and any other data processing engine, Dremio delivers an experience that works for everyone, without vendor lock-in, automatically optimizing lakehouse data and maximizing performance for every workload.

With its mission to “utilize all information to provide the right recommendations,” Empolis provides systems that analyze terabytes of data in milliseconds to help provide the right information, to the right person, to the right device, at the right time, in any given context.

Since the company’s founding in 1979, FairCom products have been powering mission-critical systems for global entities in a broad spectrum of industries by offering solutions for high-speed transactions, IIoT environments, and legacy system modernization and migration.

An early innovator in AI and leading supplier of graph database technology, Franz, is the provider of AllegroGraph, a graph-based platform that unifies all data and siloed knowledge into an entity-event knowledge graph solution that can support big data analytics.

Big Data Trailblazer by Jans Aasman, CEO


The emerging Data Lakehouse approach is bringing the best of Data Warehouses and Data Lakes in one simple platform to co-locate data from across the enterprise for cost effective analytics and AI use cases. But, despite the promise of Data Lakehouses, they still leave much of the data unconnected and in native form which can require significant effort to unlock its full potential.

Industry analysts recognize the power of a Semantic Layer in delivering integrated, trusted, and real-time views of enterprise data. Knowledge Graphs excel at delivering a Semantic Layer which unifies business data with knowledge bases, industry terms, and domain knowledge.

By overlaying a Knowledge Graph onto a Lakehouse architecture, the combination facilitates more flexible data operations, lowers data integration costs, and delivers powerful insights only possible when data is connected. Adding a Knowledge Graph to your Lakehouse will enable your organization to explore and exploit unknown connections across your data for richer analytics and enhanced Artificial Intelligence capabilities.

Franz’s AllegroGraph platform further extends this Knowledge Graph and Lakehouse combination with a novel Entity-Event Model. This production proven architecture puts core “entities” such as customers, patients, students, or people of interest at the center and then collects several layers of knowledge related to the entity as “events” in temporal context. Adding Franz’s Entity-Event Knowledge Graph to your Lakehouse delivers enhanced discovery, greatly reduced data complexity, and faster results–at scale.

TAKE YOUR LAKEHOUSE INVESTMENT to the next level with AllegroGraph’s Entity-Event Semantic Layer.

Franz Inc.

GigaSpaces is building on its in-memory computing and operational data store technologies to offer one of the market’s first Digital Integration Hubs (DIH), an out-of-the-box solution that simplifies organizations’ digital transformation, while drastically lowering legacy systems’ TCO.

Google Cloud
With distributed cloud solutions that provide consistency between public and private clouds, Google Cloud has a commitment to open source, multi-cloud, and hybrid cloud— allowing customers to use their data and run their apps in any environment.

Now part of Fivetran, HVR’s real-time data replication technology enables organizations to plan, predict, and respond with the freshest data available to better serve their customers, reduce margins, resource plan, and ultimately improve their bottom line.

IBM (International Business Machines)
IBM is a leading global hybrid cloud, AI, and business services provider, helping clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs, and gain the competitive edge in their industries.

Incorta provides an all-in-one unified data and analytics platform that is built for business agility with its unique technology that unlocks the full potential of application data within complex source systems.

InfluxData is the provider of InfluxDB, a time-series platform that is built to handle the massive volumes and countless sources of time-stamped data produced by sensors, applications, and infrastructures, and enables developers to build IoT, analytics, and monitoring software.

A leader in enterprise cloud data management, Informatica accelerates data-driven digital transformation, enabling companies to fuel innovation, become more agile, and realize new growth opportunities, resulting in intelligent market disruptions.

<< back Page 3 of 6 next >>


Subscribe to Big Data Quarterly E-Edition