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Top 4 Real-time Analytic Database Software SaaS Companies in May 2026

As of May 2026, there are 4 SaaS companies in Real-time Analytic Database Software. They have combined revenues of $229.2M and employ 732 people. They have raised $558.6M and serve 8.5K customers combined.

Real-time analytic database software enables organizations to analyze and process data as it is generated, providing instant insights and facilitating immediate decision-making. This software is particularly useful in scenarios that require the continuous ingestion of streaming data, often seen in applications such as customer behavior tracking, smart device responses, and operational performance monitoring. Typical features of real-time analytic databases include low-latency query capabilities, high throughput for concurrent queries, and support for complex event processing. Common user personas include data analysts, business intelligence professionals, and IT operations teams, who leverage these tools to drive analytics processes within industries such as finance, e-commerce, and telecommunications, where timely access to data is critical for strategic advantage.

Companies
4
Revenue
$229.2M
Funding
$558.6M
Employees
732

Filters

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Revenue
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Funding (Locked)Growth (Locked)Team-Size (Locked)

Top Real-time Analytic Database Software Companies

Showing 10 of 1 companies ranked by annual revenue.

1
Redislabs

Mountain View, California, United States

Redis Labs is a software company that provides a high-performance, in-memory data platform called Redis. The company was founded in 2011 by Ofer Bengal and Yiftach Shoolman and is headquartered in Mountain View, California, with additional offices in Tel Aviv, London, and Bangalore. Redis Labs' platform allows organizations to process and analyze large amounts of data in real-time, enabling faster decision-making and better user experiences. The company's solutions are used by a wide range of industries, including e-commerce, finance, healthcare, and gaming. Redis Labs is recognized as a leader in the NoSQL and in-memory database markets and has won multiple awards for its innovative technology.

Revenue
$209.8M
Customers
8.5K
Year founded
2011
Funding
$555.6M
Team size
501
Growth
36.12%

Inclusion Criteria

- The software must support real-time data ingestion and processing. - It should provide low-latency query response for immediate insights. - It must be capable of handling high volumes of concurrent queries. - The product should allow for complex event processing and analytics. - It should offer integration capabilities with various data sources. - Not just focused on historical data analysis; must also provide real-time analytical functionalities.