Two-way sync
Changes in BigQuery or OpenSearch instantly reflect in both systems. No stale data, no manual imports.
Keep BigQuery and OpenSearch 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 BigQuery, 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 BigQuery in real time, and result tables in BigQuery sync back into OpenSearch, with schema and type mapping between the two systems handled for you.
Rows from OpenSearch land in BigQuery as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in BigQuery sync into OpenSearch, where whatever reads from that database gets them without querying the warehouse.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
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.
| BigQuery objects | OpenSearch objects | |
|---|---|---|
| Tables The syncable unit: only tables can be synced per the Stacksync docs. | Indexes The core container; synced records land in indexes with defined mappings | |
| Partitioned tables Synced like regular tables; partition columns map to target fields. | Documents JSON records written via the index and bulk APIs and read via search queries | |
| Clustered tables Supported; clustering is transparent to the sync. | Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills | |
| Datasets Organizational container — you pick which dataset’s tables to sync. | Index templates Mapping and settings presets applied to new indexes a sync creates | |
| Projects Connection scope: the service account grants access per project. | Ingest pipelines Server-side processors that transform documents as they are written |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–OpenSearch connection.
Changes in BigQuery or OpenSearch instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever BigQuery or OpenSearch data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single BigQuery or OpenSearch record.
Track your BigQuery ⇄ OpenSearch sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between BigQuery and OpenSearch.
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 BigQuery and OpenSearch 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 BigQuery and OpenSearch 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 BigQuery and OpenSearch: authenticate both systems, choose the objects to sync (such as BigQuery's Tables and Partitioned tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for BigQuery and OpenSearch: Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed; Fresh analytics without loading windows. Rows from OpenSearch land in BigQuery as they change, replacing hand-built CDC and batch extract jobs.
BigQuery: GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs. Authentication: Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver. 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. Stacksync manages authentication, retries, and rate limits on both sides.
BigQuery: Views and materialized views are not supported — only tables. OpenSearch: Amazon OpenSearch Service domains typically authenticate with IAM request signing, while self-managed clusters use the security plugin's basic auth or certificates. Stacksync's field mapping accounts for these differences between BigQuery and OpenSearch 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 BigQuery and OpenSearch records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed BigQuery and OpenSearch connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom BigQuery–OpenSearch integration in-house.
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 BigQuery and OpenSearch.