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Realtime Data Processing Startups

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Top Realtime Data Processing startups

There are 88 Realtime Data Processing startups which include DataStax, Confluent, GridGain, Hydrolix, Redpanda. Out of these, 47 startups are funded, with 38 having secured Series A+ funding. United States has the most number of companies in Realtime Data Processing (64), followed by United Kingdom and Israel which have (3) companies.
Over the past 10 years, an average of 2 new companies have been launched annually. Notably, several of these startups have been founded by alumni of Stanford University, Cornell University and New York University.

Here is the list of top Realtime Data Processing Startups

Provider of data management and AI application development infrastructure solutions. The company delivers capabilities spanning database, hyper-converged database, and low-code tools. These offerings enable enterprises to manage real-time, unstructured, and multimodal data. The infrastructure simplifies how enterprises power secure, governed, and production-grade AI and application workloads. It automates unstructured data management, helping reduce cloud database costs.

Key facts about DataStax

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

Provider of a unified real-time data platform for AI, analytics. The platform delivers in-memory computing, horizontal scale-out, and flexible data access. It offers enterprise reliability with built-in failover, encryption, and role-based access control. The platform supports real-time analytics and enables applications requiring speed, scale, and reliability. It consolidates data into a unified hub that manipulates and curates data.

Key facts about GridGain

Cloud-based data discovery and visualization solution provider. It provides a cloud data platform that offers hydrolix deployment, data management, data ingestion & search, data streaming & visualization, etc. It also extracts SSD-like performance with cloud storage and combines logs, metrics & traces with fluid tables.

Key facts about Hydrolix

Cloud based platform offering solutions for streaming events. It provides an events streaming platform that assists users in real time event streaming under the assistance of event streaming experts. It also provides a storage engine for transforming data with no code changes.

Key facts about Redpanda

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