Use Case
Big Data Analytics Infrastructure on Syniel
Petabyte-scale data lakes, real-time streaming pipelines, and managed analytics engines -all in one integrated platform.
Key challenges
- Managing petabyte-scale data lakes without spiraling storage costs
- Building real-time analytics pipelines with sub-second query latency
- Maintaining data governance and lineage across distributed data sources
Syniel capabilities for big data & analytics
Managed Data Lake
S3-compatible object storage with automated tiering, column-level encryption, and fine-grained access control.
Real-Time Kafka Streaming
Managed Apache Kafka with exactly-once semantics and Schema Registry for event-driven architectures.
Serverless Query Engine
Trino-compatible serverless SQL engine -query data lakes without managing clusters.
Data Catalog & Lineage
Automated metadata discovery, column-level lineage, and policy-based access governance.
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