Projected
Apache Kafka
Strategic roadmap; not shipped. No delivery date is committed.
Strategic roadmap: bounded snapshot and replay windows from Kafka topics with schema-registry integration and deterministic transformations.
Integrations · Streaming
Streaming test data management
Event streams carry the same customers and transactions as databases, one message at a time. Testing consumers needs realistic events, in order, with keys that match the systems they update.
Unbounded consumption is the risk: a test-data job must read a defined window, not follow a topic forever.
What test data management needs here
- Bounded snapshot or replay windows defined by offsets or time.
- Schema-registry-aware decoding and deterministic transformations of keys and payload fields.
- No offset commits on the consumer groups that production applications use.
How DataNivra approaches it
- Streaming connectors are roadmap work, designed around bounded windows and the same masking domains as databases.
- Whatever the system, row-level work happens in the DataNivra agent inside your network: only metadata, aggregates and evidence reach DataNivra Cloud.
Streaming: connector status (1)
None of these connectors can be used today. Each one below shows its honest status; the integration pages describe what you can do in the meantime. Statuses are derived from recorded conformance evidence.
Learn, try, then start
See the whole workflow — discovery, classification, masking, subsetting and certification — on synthetic data in the interactive demo, then start a free trial. The product overview explains how the customer-resident agent and DataNivra Cloud divide the work.
Other categories: Databases · Data warehouses · Lakehouses · Object storage · Files · NoSQL · SaaS applications · Mainframe · APIs.