In 2023 our platform was recognized by Gartner Digital Markets in the Data Integration Software category, receiving awards for both value and ease of use. These acknowledgments were based on verified user reviews across Gartner properties, where organizations shared their experience working with our federated data processing technology.
Scalytics Federated provides a virtual data lakehouse architecture that enables analytics, machine learning, and AI across distributed data sources without centralizing or copying information. The platform executes computation where the data resides, reduces the dependency on complex ETL pipelines, and unifies existing data systems into a single analytical layer. This approach has helped organizations modernize their architectures while improving efficiency and governance.
Users highlight the platform’s ability to simplify cross-platform analytics, its intuitive workflow design, and the flexibility provided by Apache Wayang as the cross-platform execution core. In their reviews, customers describe improved productivity, reduced operational overhead, and greater freedom in deciding how and where workloads run.
We appreciate the feedback shared by our users and early adopters. Their insights help shape our roadmap and ensure Scalytics Federated continues to meet enterprise expectations around performance, interoperability, and privacy-respecting data processing.
Our team remains committed to advancing federated data technology and delivering a platform that brings together distributed analytics, responsible AI, and cross-platform execution in a unified way.
About Scalytics
Scalytics Federated provides federated data processing across Spark, Flink, PostgreSQL, and cloud-native engines through a single abstraction layer. Our cost-based optimizer selects the right engine for each operation, reducing processing time while eliminating vendor lock-in.
Scalytics Copilot extends this foundation with private AI deployment: running LLMs, RAG pipelines, and ML workloads entirely within your security perimeter. Data stays where it lives. Models train where data resides. No extraction, no exposure, no third-party API dependencies.
For organizations in healthcare, finance, and government, this architecture isn't optional, it's how you deploy AI while remaining compliant with HIPAA, GDPR, and DORA.Explore our open-source foundation: Scalytics Community Edition
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