Elasticsearch to Rockset integration — real-time, two-way sync

Yes. Stacksync provides a managed, real-time two-way integration between Elasticsearch and Rockset: authenticate both systems, choose the objects to sync (such as Elasticsearch's Aliases and Data streams), map fields visually, and changes propagate both ways in milliseconds — no code required.

Rockset: Rockset was acquired by OpenAI in 2024 and the public service was subsequently wound down, so integrations are relevant mainly for legacy or migration scenarios. Elasticsearch: Writes are addressed by document _id, so upserts map directly onto the index API, and the _bulk endpoint batches many operations in a single request. Stacksync's field mapping accounts for these differences between Elasticsearch and Rockset without custom code.

Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Elasticsearch and Rockset records are not retained after a sync operation.

Stacksync pricing is usage-based and starts at $1,000/month, including the managed Elasticsearch and Rockset connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Elasticsearch–Rockset integration in-house.

Yes — Stacksync ships production-grade connectors for both Elasticsearch and Rockset. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.

Change detection on Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. On Rockset: Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.