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Big Data Infrastructure companies globally

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Companies in Big Data Infrastructure

There are 629 companies in Big Data Infrastructure which include Databricks, MongoDB, Cloudera, Snowflake, Confluent. 276 companies in Big Data Infrastructure are funded, with 195 having secured Series A funding. Till date, the sector has seen the creation of 17 Unicorns. United States has the most number of companies in Big Data Infrastructure (367), followed by China (34), and then United Kingdom (27).
On average, the last 10 years have seen 24 new companies launched every year. Most number of Big Data Infrastructure startups have been founded by alumni from Stanford University, University of California (Berkeley) and Technion Israel Institute Technology.

Here is a List of top companies in Big Data Infrastructure

Cloud based data science platform. It provides solutions from data preparations to data modelling. The features of the product include data analytics, enterprise security, visualization, dashboarding, integration, data lake engines, collaboration, business insights analytics, and more. It caters its solution to industries such as energy, gaming, life science, media and entertainment, financial services, and more.

Key facts about Databricks

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

AI powered big data stack solutions. The platform automates and orchestrates data pipelines to streamline data engineering process. Its features include multi function analytics, hybrid, and multi cloud variation, data warehouses, data mesh, visualization, and more. It caters to industries such as healthcare, retail, education, manufacturing, and telecom.

Key facts about Cloudera

Cloud-based big data warehouse platform for enterprise data management. It provides software solutions to update, delete, and run analytical functions and transactions. The product modules include collaborating, sharing and monetizing data, model development, transforming code scripts into web apps, app creation and distribution, compliance management, and more. It uses AI technology for deploying non-SQL code. It provides tools for processes such as data lake, governance, and data monitoring and enables users to create, and share visualizations. It offers cloud services for data warehousing, data lakes, data engineering, data science, data applications, and data sharing.

Key facts about Snowflake

Cloud based data streaming analytics and governance platform. It develops and provides an open-source technology to enable companies move data from systems into a real-time data pipeline. It caters to sectors such as automotive, gaming, finance, and insurance. It is a tool available on the subscription-based pricing model.

Key facts about Confluent

Tracxn powers 1,000+ customers across 30+ countries
Accel PartnersPartechIN-Q-TEL - USPalo Alto NetworkMaersk GrowthFujitsuTenityStanford
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