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Big Data Infrastructure Companies

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Companies in Big Data Infrastructure

There are 670 companies in Big Data Infrastructure which include MongoDB, Oracle, Databricks, Cloudera, Snowflake. 300 companies in Big Data Infrastructure are funded, with 207 having secured Series A funding. Till date, the sector has seen the creation of 19 Unicorns. United States has the most number of companies in Big Data Infrastructure (394), followed by China (40), and then United Kingdom (25).
On average, the last 10 years have seen 23 new companies launched every year. Most number of Big Data Infrastructure startups have been founded by alumni from Stanford University, Tel Aviv University and University of California (Berkeley).

Here is a List of top companies in Big Data Infrastructure

Provider of a cloud-based database-as-a-service platform. The platform uses distributed infrastructure on commodity servers and supports developers in building mobile and web applications. Features of the product include data visualization, vector search, stream processing, cluster distribution, and more.

Key facts about MongoDB

Hybrid cloud infrastructure platform. It provides hybrid cloud solutions that enable businesses to manage different cloud solutions and collaborate within cross-functional teams. Features include storage, cloud application management, cloud cost management, content management, networking, integration, security, product management tools, database management, and more. It caters its solution to industries such as automotive, finance, healthcare, and more.

Key facts about Oracle

Provider of a unified platform for data analytics and artificial intelligence. The platform offers data management, warehousing, engineering, and science capabilities. It facilitates data sharing, governance, and application development. The platform supports business intelligence and database functionalities.

Key facts about Databricks

Provider of hybrid data platform, data management, and AI solutions. The company delivers cloud-native agility for data and AI applications. It offers data flow streaming, data engineering, data warehousing, and operational database services. The company enables users to ingest, prepare, analyze, predict, and publish data. It also provides data catalog, data lineage, observability, and data visualization tools.

Key facts about Cloudera

Provider of cloud-based data platform for analytics and data sharing. It offers a managed service that unifies data warehousing, data lakes, data engineering, and data science on public cloud infrastructure. The platform separates storage from compute to allow independent scaling and high concurrency for diverse workloads. Users can load structured and semi-structured data, run SQL queries, and integrate with business intelligence, data integration, and machine learning tools. Additional capabilities include secure data sharing, application development, continuous data ingestion, and built-in services for security, governance, and access control.

Key facts about Snowflake

Tracxn powers 1,000+ customers across 30+ countries
Accel PartnersPartechIN-Q-TEL - USFujitsuTenityStanford