Two-way sync
Changes in SingleStore or Starburst Enterprise instantly reflect in both systems. No stale data, no manual imports.
Keep SingleStore and Starburst Enterprise 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 SingleStore's rows in Starburst Enterprise, 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 SingleStore where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in SingleStore sync into Starburst Enterprise in real time, and result tables in Starburst Enterprise sync back into SingleStore, with schema and type mapping between the two systems handled for you.
Point analytical queries at the synced copy in Starburst Enterprise and keep SingleStore focused on its operational workload.
Rows from SingleStore land in Starburst Enterprise as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Starburst Enterprise sync into SingleStore, 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.
| SingleStore objects | Starburst Enterprise objects | |
|---|---|---|
| Stored Procedures Existing logic sometimes invoked on write paths. | Materialized views Precomputed results that make repeated sync reads cheaper. | |
| Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. | Columns Typed per the Trino type system, mapped from each source's native types. | |
| Databases The connection target containing the tables a sync addresses. | Catalogs Each catalog maps to a connector (Iceberg, Hive, PostgreSQL, and others) exposing an external source. | |
| Tables (rowstore and columnstore) Primary read/write target; storage type affects whether a table suits point lookups or scans. | Schemas Namespaces within a catalog, mirroring the underlying source's databases or schemas. | |
| Views Read-only projections used as curated sync sources. | Tables Queryable relations; writes pass through to sources whose connectors support them. | |
| Reference Tables Small tables replicated to every node, often used for dimension data in syncs. | Views Engine-level SQL views used to shape federated data before syncing it out. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every SingleStore–Starburst Enterprise connection.
Changes in SingleStore or Starburst Enterprise instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever SingleStore or Starburst Enterprise data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single SingleStore or Starburst Enterprise record.
Track your SingleStore ⇄ Starburst Enterprise sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between SingleStore and Starburst Enterprise.
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 SingleStore and Starburst Enterprise 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 SingleStore and Starburst Enterprise 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 SingleStore and Starburst Enterprise: authenticate both systems, choose the objects to sync (such as SingleStore's Stored Procedures and Indexes and Shard Keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Starburst Enterprise side: Schemas, Tables, Views, Materialized views, plus custom fields where Starburst Enterprise exposes them. On the SingleStore side: Views, Reference Tables, Pipelines, Stored Procedures. 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 SingleStore and Starburst Enterprise: 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 Starburst Enterprise and keep SingleStore focused on its operational workload.
SingleStore: SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST. Authentication: Database credentials. Starburst Enterprise: ANSI SQL over JDBC/ODBC drivers and the Trino client REST protocol. Authentication: Deployment-dependent: username/password, LDAP, OAuth 2.0, or Kerberos. Stacksync manages authentication, retries, and rate limits on both sides.
Starburst Enterprise: The engine stores no data itself; reads and writes pass through to the underlying sources, and write support depends on each connector. SingleStore: Its universal storage combines rowstore and columnstore characteristics, letting the same tables serve transactional lookups and analytical scans. Stacksync's field mapping accounts for these differences between SingleStore and Starburst Enterprise 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 SingleStore and Starburst Enterprise.