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Top 1 Event Stream Processing Software Companies $100M+ Revenue (September 2026)

As of September 2026, Latka tracks 1 event stream processing software companies with $100M+ in annual revenue. They have combined revenues of $100M and employ 629 people. They have raised $7M.

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
$100M
Funding
$7M
Employees
629

Filters

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Filters
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Top Event Stream Processing Software Companies $100M+ Revenue

Showing 1 of 1 companies ranked by annual revenue.

1Solace logo
Solace

Ottawa, Ontario, Canada

Solace Corporation is a technology company based in Ontario, Canada. Solace provides a messaging platform that helps businesses to distribute real-time data and information across their IT infrastructure. Their platform offers features such as event streaming, message routing, and API management, enabling businesses to deliver data in real-time to various applications and devices. Solace's platform is used by companies in various industries such as financial services, telecommunications, and transportation. The company was founded in 2001 and has since become a leading provider of event-driven architectures and messaging solutions.

Revenue
$100M
Year founded
2001
Funding
$7M
Team size
629

Frequently asked questions about Event Stream Processing Software Companies $100M+ Revenue

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

Latka tracks 1 event stream processing software companies with $100M+ in annual revenue. Together they generate $100M in annual revenue and employ 629 people.

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

Solace is the largest, with $100M in annual revenue, founded in 2001.

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

The average event stream processing software company in this list makes $100M a year, across 1 companies with reported revenue.

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

Ranked by annual revenue, the leaders are Solace.

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

The 1 event stream processing software companies with $100M+ in annual revenue tracked here have raised $7M 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.