Solution — Real-time Analytics
AnalyticsattheSpeedofYourBusiness
Stream data from databases, SaaS apps, and event systems into your analytics stack with sub-second latency using log-based Change Data Capture.
Batch windows are too slow for fraud detection, live dashboards, and operational decision-making. Planasonix's CDC engine reads database transaction logs in real time, applies transformations on the fly, and delivers exactly-once to your downstream systems — without impacting source database performance.
End-to-End Latency
Source Impact
Delivery Guarantee
Failure Recovery
KeyCapabilities
Log-Based CDC
Read directly from Postgres WAL, MySQL binlog, SQL Server change tracking, and MongoDB oplog. Zero-impact on source performance with automatic LSN/offset checkpointing.
Sub-Second Latency
Purpose-built Go streaming engine processes change events with sub-second end-to-end latency from source commit to destination write. No micro-batch compromises.
Stream Processing
Filter, enrich, route, and aggregate events in-flight before they land. Apply windowed aggregations, joins against reference data, and custom Python or SQL transformations.
Streaming Destinations
Deliver to Kafka, Redpanda, Kinesis, Pulsar, or direct to warehouses and lakes. Fan-out a single change stream to multiple consumers without duplicating reads.
Schema Evolution
Automatically propagate DDL changes — new columns, type alterations, table renames — through the entire pipeline without manual intervention or downtime.
Exactly-Once Guarantees
Transactional checkpointing and idempotent writes ensure every event is processed exactly once. Auto-heal on failures with configurable retry policies and dead-letter queues.
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