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Top 1 Big Data Processing And Distribution Systems Companies $100M+ Revenue (September 2026)

As of September 2026, Latka tracks 1 big data processing and distribution systems companies with $100M+ in annual revenue. They have combined revenues of $170M and employ 250 people. They have raised $415.1M and serve 1M customers combined.

Every company below sells big data processing and distribution systems 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 Big Data Processing And Distribution Systems Companies do

Big Data Processing and Distribution Systems refer to technologies that facilitate the collection, storage, processing, and distribution of vast amounts of data across multiple platforms. These systems often enable real-time data insights and analytics, which can be critical for businesses seeking to make data-driven decisions. Common use cases include predictive analytics, customer experience enhancement, and operational efficiency improvements. Typically, these systems are utilized by IT professionals, data scientists, and business analysts who require robust data management capabilities. They often feature batch processing, stream processing, and various analytics tools. Integration with existing IT infrastructures and support for distributed computing are also crucial, allowing organizations to scale their operations and handle large datasets effectively.

Companies
1
Revenue
$170M
Funding
$415.1M
Employees
250

Filters

Sorting: Highest -> Lowest

Filters

Top Big Data Processing And Distribution Systems Companies $100M+ Revenue

Showing 1 of 1 companies ranked by annual revenue.

1Qiniu logo
Qiniu

Pudong New Area, Shanghai, China

Provider of enterprise cloud services intended to help companies meet their data management needs. The company's platform offers integrated storage, CDN integration and data processing capabilities, including data insights and accelerated transmission, enabling businesses across China to efficiently manage all their data needs.

Revenue
$170M
Customers
1M
Year founded
2011
Funding
$415.1M
Team size
250

Frequently asked questions about Big Data Processing And Distribution Systems Companies $100M+ Revenue

How many big data processing and distribution systems companies with $100M+ in annual revenue are there?

Latka tracks 1 big data processing and distribution systems companies with $100M+ in annual revenue. Together they generate $170M in annual revenue and employ 250 people.

Which big data processing and distribution systems company with $100M+ in annual revenue is the largest?

Qiniu is the largest, with $170M in annual revenue, founded in 2011.

How much revenue does a typical big data processing and distribution systems company with $100M+ in annual revenue make?

The average big data processing and distribution systems company in this list makes $170M a year, across 1 companies with reported revenue. They serve 1M customers combined.

Who are the leading Big Data Processing And Distribution systems vendors with $100M+ in annual revenue?

Ranked by annual revenue, the leaders are Qiniu.

How much funding have big data processing and distribution systems companies with $100M+ in annual revenue raised?

The 1 big data processing and distribution systems companies with $100M+ in annual revenue tracked here have raised $415.1M in disclosed funding between them.

Related IT Infrastructure Software categories

Inclusion Criteria

- The software must facilitate the collection, processing, and analysis of large datasets. - It should support both batch and real-time data processing capabilities. - Systems must allow for data distribution across multiple environments or nodes. - It should provide analytics tools that enable users to extract meaningful insights from data. - Target users must include IT professionals, data analysts, or business analysts. - Not just data storage solutions; must also enable data processing and analytics.