- Revenue
- $3.9M
- Customers
- 100
- Year founded
- 2018
- Funding
- $500K
- Team size
- 101
Top 2 Event Stream Processing Software Companies With $1M–$5M Revenue (November 2026)
As of November 2026, Latka tracks 2 event stream processing software companies with $1M–$5M in annual revenue. They have combined revenues of $5.8M and employ 118 people. They have raised $29.7M and serve 100 customers combined.
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
- 2
- Revenue
- $5.8M
- Funding
- $29.7M
- Employees
- 118
Filters
Sorting: Highest -> Lowest
Top Event Stream Processing Software Companies With $1M–$5M Revenue
Showing 2 of 2 companies ranked by annual revenue.
2
Keen
San Antonio, Texas, United States
Keen is the customer-facing metrics platform that makes shipping custom end-user analytics easy and seamless. Building blocks to bypass the headaches, scale faster, and focus on the parts of analytics that drive unique value. We're always on the lookout, or shall we say, Keen to meet top talent! Reach out if you think you'd be a good fit!
- Revenue
- $1.9M
- Year founded
- 2011
- Funding
- $29.2M
- Team size
- 17
Frequently asked questions about Event Stream Processing Software Companies With $1M–$5M Revenue
How many event stream processing software companies with $1M–$5M in annual revenue are there?
Latka tracks 2 event stream processing software companies with $1M–$5M in annual revenue. Together they generate $5.8M in annual revenue and employ 118 people.
Which event stream processing software company with $1M–$5M in annual revenue is the largest?
Zeliot Connected Services Pvt Ltd is the largest, with $3.9M in annual revenue, founded in 2018.
How much revenue does a typical event stream processing software company with $1M–$5M in annual revenue make?
The average event stream processing software company in this list makes $2.9M a year, across 2 companies with reported revenue. They serve 100 customers combined.
Who are the leading Event Stream Processing software vendors with $1M–$5M in annual revenue?
Ranked by annual revenue, the leaders are Zeliot Connected Services Pvt Ltd and Keen.
How much funding have event stream processing software companies with $1M–$5M in annual revenue raised?
The 2 event stream processing software companies with $1M–$5M in annual revenue tracked here have raised $29.7M in disclosed funding between them.
Related IT Infrastructure Software categories
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.