- Revenue
- $33.6M
- Customers
- 140
- Year founded
- 2013
- Funding
- $247.4M
- Team size
- 27
- Growth
- -
Top 8 Big Data Processing And Distribution Systems SaaS Companies in May 2026
As of May 2026, there are 8 SaaS companies in Big Data Processing And Distribution Systems. They have combined revenues of $254.6M and employ 513 people. They have raised $727.5M and serve 1M customers combined.
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.
Filters
Sorting: Highest -> Lowest
Top Big Data Processing And Distribution Systems Companies
Showing 10 of 3 companies ranked by annual revenue.
2
Ocient
Chicago, Illinois, United States
Provider of a big data platform intended to offer rapid analysis of the world's largest datasets. The company's big data platform works on large datasets that are measured in tens of terabytes, petabytes or exabytes with trillions or quadrillions of rows, as well as focuses on ingressing billions of rows per second, filtering and computing aggregate results at rates up to trillions of rows per second, enabling organizations to harness the untapped power of large datasets, at scale and speed.
- Revenue
- $24.6M
- Customers
- -
- Year founded
- 2016
- Funding
- $65M
- Team size
- 172
- Growth
- 344.96%
3
Wallaroo Labs
New York, New York, United States
Provider of a cloud-based data processing software intended to simplify the deployment of real-time applications. The company's software eliminates infrastructure problems, facilitates rapid iteration and testing and is used to run real-time applications to process large volumes of data while being agnostic to infrastructure and scale, enabling data engineers, architects and providers of data infrastructure to improve outpatient monitoring, real-time bidding and risk profiling.
- Revenue
- $12.4M
- Customers
- -
- Year founded
- 2014
- Funding
- -
- Team size
- 47
- Growth
- 197.85%
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.