Two-way sync
Changes in OpenSearch or StarRocks instantly reflect in both systems. No stale data, no manual imports.
Keep OpenSearch and StarRocks in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Operational databases and analytical warehouses want the same data at different moments. Analysts want OpenSearch's rows in StarRocks, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in OpenSearch where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in OpenSearch sync into StarRocks in real time, and result tables in StarRocks sync back into OpenSearch, with schema and type mapping between the two systems handled for you.
Point analytical queries at the synced copy in StarRocks and keep OpenSearch focused on its operational workload.
Rows from OpenSearch land in StarRocks as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in StarRocks sync into OpenSearch, where whatever reads from that database gets them without querying the warehouse.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| OpenSearch objects | StarRocks objects | |
|---|---|---|
| Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills | Databases Top-level namespaces addressed exactly as in MySQL clients. | |
| Index templates Mapping and settings presets applied to new indexes a sync creates | Tables Defined with a table model (Primary Key, Unique Key, Aggregate, Duplicate Key) that determines update behavior. | |
| Ingest pipelines Server-side processors that transform documents as they are written | Materialized views Automatically maintained rollups used to accelerate queries on synced data. | |
| Data streams Append-oriented time-series storage for logs and events pushed from source systems | Views Logical views for shaping analytical reads. | |
| Snapshots Backup artifacts, relevant when reseeding an index from a repository | Partitions Time or range partitions that scope loads and retention. | |
| Indexes The core container; synced records land in indexes with defined mappings | Columns Columnar storage with types mapped from source systems during sync. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every OpenSearch–StarRocks connection.
Changes in OpenSearch or StarRocks instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever OpenSearch or StarRocks data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single OpenSearch or StarRocks record.
Track your OpenSearch ⇄ StarRocks sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between OpenSearch and StarRocks.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate OpenSearch and StarRocks with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the OpenSearch and StarRocks objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between OpenSearch and StarRocks: authenticate both systems, choose the objects to sync (such as OpenSearch's Index aliases and Index templates), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the StarRocks side: Databases, Tables, Materialized views, Views, plus custom fields where StarRocks exposes them. On the OpenSearch side: Index templates, Ingest pipelines, Data streams, Snapshots. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for OpenSearch and StarRocks: Offload heavy reads; Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed. Point analytical queries at the synced copy in StarRocks and keep OpenSearch focused on its operational workload.
OpenSearch: REST API over HTTP(S) with JSON payloads. Authentication: Basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service. StarRocks: MySQL wire protocol for SQL; HTTP-based Stream Load API for ingestion. Authentication: Database credentials (MySQL-compatible username/password). Stacksync manages authentication, retries, and rate limits on both sides.
StarRocks: It speaks the MySQL wire protocol, so standard MySQL clients, drivers, and BI tools connect without a special driver. OpenSearch: The bulk API accepts many index, update, and delete operations per request, which is how large indexes are kept current. Stacksync's field mapping accounts for these differences between OpenSearch and StarRocks without custom code.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for OpenSearch and StarRocks.