
NYC, New York, United States
The open source high-performance data integration platform for security and infrastructure teams
- Revenue
- $3M
- Customers
- -
- Year founded
- 2021
- Funding
- -
- Team size
- 27
- Growth
- -
As of May 2026, there are 1 SaaS companies in Big Data Integration Platforms. They have combined revenues of $3M and employ 27 people. They have raised - and serve - customers combined.
Big Data Integration Platforms encompass a category of software solutions designed to facilitate the seamless merging of large datasets from diverse sources. These platforms enable organizations to gather, process, and analyze vast amounts of data, turning it into actionable insights that drive decision-making. Common use cases include customer data integration, real-time analytics, and data unification for business intelligence applications. Typically, these platforms offer features such as data extraction, transformation, loading (ETL), data quality management, and automation capabilities. They cater to a variety of buyer personas, primarily targeting IT professionals, data analysts, and business intelligence teams who require robust solutions for managing complex data landscapes and enhancing data-driven strategies.
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Showing 10 of 1 companies ranked by annual revenue.

NYC, New York, United States
The open source high-performance data integration platform for security and infrastructure teams
- Must provide capabilities for extracting, transforming, and loading (ETL) data from multiple sources. - Should enable users to integrate large volumes of structured and unstructured data for analysis. - Must include tools for data quality management and validation processes. - Should offer automation features to streamline data integration workflows. - Targeted at IT departments and business analysts engaged in data management and analytics. - Not limited to simple data aggregation; must also support complex data transformations and unification.
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