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Data warehouse ⇄ Database

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

Keep Rockset and SingleStore in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Rockset and SingleStore

Connect SingleStore and Rockset with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Operational databases and analytical warehouses want the same data at different moments. Analysts want SingleStore's rows in Rockset, 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 Rockset in real time, and result tables in Rockset sync back into SingleStore, with schema and type mapping between the two systems handled for you.

Common use cases

  • Read query results back into an operational database to expose computed metrics to applications.
  • Power in-app search and filtering over synced operational data using SQL over REST.
  • Consolidate data from transactional databases and SaaS apps into one store that handles both lookups and scans.
  • Keep reference data consistent between SingleStore and application databases.

Serve warehouse results at database speed

Aggregates or model outputs computed in Rockset sync into SingleStore, where whatever reads from that database gets them without querying the warehouse.

Fresh analytics without loading windows

Because changes stream continuously, analysts query current data instead of waiting for last night's load.

Offload heavy reads

Point analytical queries at the synced copy in Rockset and keep SingleStore focused on its operational workload.

What you can sync between Rockset and SingleStore

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.

Rockset objects SingleStore objects
Virtual Instances Isolated compute units that separate ingest from query workloads. Reference Tables Small tables replicated to every node, often used for dimension data in syncs.
Collections Schemaless document containers that ingested and synced records land in. Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs.
Documents JSON records addressable by _id, written via the Write API in sync pipelines. Stored Procedures Existing logic sometimes invoked on write paths.
Workspaces Namespaces that group collections and query lambdas per team or environment. Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys.
Query Lambdas Named, parameterized SQL queries invoked over REST to read synced data. Databases The connection target containing the tables a sync addresses.
Aliases Stable names that point at collections, used to swap datasets without changing queries. Tables (rowstore and columnstore) Primary read/write target; storage type affects whether a table suits point lookups or scans.
What ships with Rockset ⇄ SingleStore

Connect Rockset and SingleStore for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Rockset–SingleStore connection.

Real-time

Two-way sync

Changes in Rockset or SingleStore instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Rockset or SingleStore data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Rockset or SingleStore record.

Observability

Monitoring

Track your Rockset ⇄ SingleStore sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Rockset and SingleStore.

How the Rockset and SingleStore connectors work

Rockset

Integration surface
REST API (SQL over HTTP, plus a document Write API)
Authentication
API key
Change detection
Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors
Capabilities
read · write

SingleStore

Integration surface
SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST
Authentication
Database credentials
Change detection
Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions
Capabilities
read · write
Rate limits
No API rate limits; throughput is bounded by workspace or cluster size
How it works

How to connect Rockset to SingleStore — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate Rockset and SingleStore with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Rockset connected
    SingleStore connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Rockset and SingleStore 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Rockset ⇄ SingleStore
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Rockset SingleStore
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Rockset and SingleStore integration FAQ

SECURITY

Security teams love Stacksync

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.

Learn more about security
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Rockset and SingleStore.

Popular · 8 of 386
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