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Top 1 Event Stream Processing Software Companies With $10M–$100M Revenue (November 2026)

As of November 2026, Latka tracks 1 event stream processing software companies with $10M–$100M in annual revenue. They have combined revenues of $26.1M and employ 188 people. They have raised $265.5M.

Every company below sells event stream processing software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.

What Event Stream Processing Software Companies do

Event Stream Processing Software is designed to manage and analyze continuous streams of data in real time. This category of software enables organizations to capture, process, and react to events as they occur, allowing for immediate decision-making and action. Primary use cases include monitoring system performance, real-time analytics, and automating responses to operational changes in various industries such as finance, e-commerce, and telecommunications. Typical features of event stream processing software include event ingestion from multiple sources, data enrichment, real-time analytics, and data visualization capabilities. Users often include IT operations teams, data engineers, and business analysts, all needing to handle and derive insights from streaming data effectively. By optimizing data processing workflows, these tools support organizations in becoming more responsive and data-driven in their decision-making processes.

Companies
1
Revenue
$26.1M
Funding
$265.5M
Employees
188

Filters

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Filters
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Top Event Stream Processing Software Companies With $10M–$100M Revenue

Showing 1 of 1 companies ranked by annual revenue.

1Redpanda Data logo
Redpanda Data

San Francisco, California, United States

Redpanda is pioneering the Agentic Data Plane (ADP) - a new category in AI infrastructure that makes it simple and secure to connect AI agents with enterprise data and systems. Built on a multi-modal data streaming engine, Redpanda empowers agentic applications that reason and act in real-time with speed, autonomy, and precision. Global leaders including Activision Blizzard, Cisco, Moody's, Texas Instruments, Vodafone and 2 of the top 5 banks in the U.S. rely on Redpanda to process hundreds of terabytes of data a day. Backed by premier venture investors Lightspeed, GV and Haystack VC, Redpanda is a diverse, people-first organization with teams distributed around the globe.

Revenue
$26.1M
Year founded
2019
Funding
$265.5M
Team size
188

Frequently asked questions about Event Stream Processing Software Companies With $10M–$100M Revenue

How many event stream processing software companies with $10M–$100M in annual revenue are there?

Latka tracks 1 event stream processing software companies with $10M–$100M in annual revenue. Together they generate $26.1M in annual revenue and employ 188 people.

Which event stream processing software company with $10M–$100M in annual revenue is the largest?

Redpanda Data is the largest, with $26.1M in annual revenue, founded in 2019.

How much revenue does a typical event stream processing software company with $10M–$100M in annual revenue make?

The average event stream processing software company in this list makes $26.1M a year, across 1 companies with reported revenue.

Who are the leading Event Stream Processing software vendors with $10M–$100M in annual revenue?

Ranked by annual revenue, the leaders are Redpanda Data.

How much funding have event stream processing software companies with $10M–$100M in annual revenue raised?

The 1 event stream processing software companies with $10M–$100M in annual revenue tracked here have raised $265.5M in disclosed funding between them.

Related IT Infrastructure Software categories

All IT Infrastructure Software SaaS categoriesEvery category we track inside IT Infrastructure Software, each ranked by revenue.Browse every SaaS industryThe full A-Z of SaaS categories Latka tracks, from Event Stream Processing to everything else.

Inclusion Criteria

- The software must enable real-time processing of continuous data streams. - It should support multiple data sources including applications, IoT devices, and databases. - Must provide analytics capabilities to derive actionable insights from streaming data. - Should include features for event transformation and enrichment during processing. - Not just a data storage solution; must actively process and act on the incoming data streams.