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Big Data 50: Companies Driving Innovation in 2021

With a self-service, AI-powered integration platform, SnapLogic helps organizations connect applications and data sources, automate common workflows and business processes, and deliver exceptional experiences for customers, partners, and employees.

Software AG
Software AG empowers truly connected enterprises using integration and APIs, IoT and analytics, and business and IT transformation, establishing a fluid flow of data that allows everything and everyone to work together.

Snowflake enables every organization to mobilize their data with Snowflake’s Data Cloud, uniting siloed data to discover and securely share data and execute diverse analytic workloads.

Used by global enterprises to analyze more data, faster than ever before, while achieving improved performance, reduced footprint, and significant cost savings, SQream provides the ability to scale the amount of data analyzed to hundreds of terabytes and more.

Delivering Swim Continuum, a platform for building, managing, and operating continuous intelligence applications on-prem, in the cloud, or at the edge, Swim helps users monitor data streams, anticipate disruption, and respond to global changes in their industries.

A global provider of enterprise data management, Syniti helps clients manage their data journey—across data conversion, data quality, data archiving and replication, master data management, analytics, information governance, and data strategy.

With a cloud-native data mastering platform, Tamr provides an alternative to traditional MDM tools by using machine learning to do the heavy lifting to consolidate, cleanse, and categorize data.

As a multi-cloud data warehouse platform provider, Teradata aims to solve the most complex data challenges at scale and to help businesses unlock value by turning data into their greatest asset.

Based on a distributed native graph database, TigerGraph’s proven technology supports advanced analytics and machine learning applications such as fraud detection, anti-money laundering, entity resolution, Customer 360, recommendations, knowledge graphs, cybersecurity, supply chain, IoT, and network analysis.

Big Data Trailblazer by Dr. Yu Xu, CEO

Who is TigerGraph?

TigerGraph is a platform for advanced analytics and machine learning on connected data. Based on the industry’s first and only distributed native graph database, TigerGraph’s proven technology supports advanced analytics and machine learning applications such as fraud detection, anti-money laundering (AML), entity resolution, customer 360, recommendations, knowledge graph, cybersecurity, supply chain, IoT, and network analysis.

How does TigerGraph help organizations of all sizes?

Organizations of all sizes Connect, Analyze, and Learn from Data with TigerGraph:

  • Connect internal and external datasets and pipelines with a distributed Graph Database
  • UnitedHealth Group is connecting 200+ datasets and Kafka-based streaming data pipelines to deliver a real-time customer 360 to improve quality of care for 50 million members;
  • Xandr (part of AT&T) is connecting multiple data pipelines to build an identity graph for entity resolution to power the next-generation AdTech platform.
  • Analyze connected data for never-before insights with Advanced Analytics
  • Jaguar Land Rover has accelerated supply chain planning from three weeks to 45 minutes, reduced supplier risk by 35%, and has added 100 million pounds annually in profits.
  • NewDay, a leading specialist financial services provider and one of the largest issuers of credit cards in the UK, uses advanced graph analytics to prevent and preempt financial fraud.
  • Learn from the connected data with In-Database Machine Learning
  • Intuit has built an AI-based customer 360 with in-database machine learning for entity resolution, personalized recommendations, and fraud detection. Graph-based machine learning at Intuit has reduced at-risk (fraud) events by 50% while improving accuracy by 50%. reducing false positives.
  • 7 out of the top 10 banks are driving real-time fraud detection and credit risk assessment with in-database machine learning.

Get started today with the free tier at http://www.tigergraph.com/cloud.


Powering complex digital infrastructures with its cloud, app modernization, networking, security, and digital workspace offerings, VMware helps customers deliver any application on any cloud across any device.

Yellowbrick Data
Helping companies to make faster decisions with all of their data, Yellowbrick Data provides the Yellowbrick Data Warehouse, built for enterprises and the hybrid cloud, and offers the ability to provide powerful analytics anywhere.

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