Enterprises operate data across many systems, regions, and governance domains. Centralizing this data increases cost, creates operational delays, and introduces compliance risk. Scalytics provides a federated execution platform that processes data in place and removes the need to rebuild pipelines for every underlying system.
The platform is built on the same principles that shaped Apache Wayang and gives organizations a consistent way to run analytics and machine learning across heterogeneous environments. Data teams design a pipeline once and execute it across existing infrastructure without duplication or migration.
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Benefits reported by early adopters
Low Code Efficiency
Scalytics universal pipeline model reduces manual work associated with data migrations and ETL by up to 80 percent. Teams spend less time adapting code for each system and more time delivering results.
Seamless Data Unification
The federated data lake provides fast access to unified datasets without moving information out of its original environment. This improves data quality and reduces the operational load that comes from maintaining multiple copies.
Robust Data Governance
Federated execution supports data sovereignty and regulatory requirements. Enterprises continue using platforms such as Databricks, Snowflake, MySQL, or Hadoop while ensuring consistent governance across all environments.
Four pillars for a future ready data architecture
Scalytics Federated gives organizations a consolidated view across distributed data sources without centralizing them. Rapid access to accurate information is essential for financial institutions and other data driven sectors. Scalytics enables real time analytics, operational intelligence, and machine learning workloads directly on existing systems.
By making data accessible across teams, Scalytics strengthens a data centric culture and accelerates the delivery of applications, analytics, and ML outcomes.
Experience the future of data management with Scalytics. Download the white paper, Data Strategies in the Wake of AI, and explore how federated execution supports modern enterprise scale requirements.
About Scalytics
Our founding team created Apache Wayang (now an Apache Top-Level Project), the federated execution framework that orchestrates Spark, Flink, and TensorFlow where data lives and reduces ETL movement overhead.
We also invented and actively maintain KafScale (S3-Kafka-streaming platform), a Kafka-compatible, stateless data and large object streaming system designed for Kubernetes and object storage backends. Elastic compute. No broker babysitting. No lock-in.
Our mission: Data stays in place. Compute comes to you. From data lakehousese to private AI deployment and distributed ML - all designed for security, compliance, and production resilience.
Questions? Join our open Slack community or schedule a consult.
