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Data warehouse

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

Keep Rockset and Tinybird 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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Rockset and Tinybird

Keep tables consistent across Rockset and Tinybird, for a migration, a multi-warehouse stack, or a dataset two platforms both need.

Companies end up with two warehouses for practical reasons: a migration in progress, teams that standardized on different platforms, an acquisition, or tools that only connect to one of them. The result is the same dataset maintained twice, with duplicated pipelines and numbers that almost match.

Stacksync syncs tables between Rockset and Tinybird continuously, in either or both directions. Rows changed on one platform appear on the other within seconds, with schema and type mapping handled, so both warehouses answer questions with the same data.

Common use cases

  • 01 Sync Postgres or DynamoDB tables into collections for low-latency aggregations without loading a batch warehouse.
  • 02 Read query results back into an operational database to expose computed metrics to applications.
  • 03 Stream CRM activity such as deals and tickets into Tinybird Data Sources to power customer-facing dashboards.
  • 04 Sync order events from an ERP into Tinybird to serve low-latency operational analytics endpoints.

Common sync patterns

Serve tools that only connect to one platform

Mirror the datasets a BI tool, notebook, or application needs onto the platform it can actually reach.

Shared datasets across teams

Where different teams run different warehouses, sync the curated tables both rely on so their metrics agree by construction.

Consolidation after M&A

Bring the acquired company's warehouse data across continuously instead of through one-off dumps.

What you can sync between Rockset and Tinybird

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 Tinybird objects How this pairing syncs
Workspaces Namespaces that group collections and query lambdas per team or environment. Workspaces Project boundary that scopes Data Sources, Pipes, and tokens for a sync. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Integrations Managed source connections (databases, streams, object storage) feeding collections. Tokens Scoped credentials that control read and append rights per resource. Integrations is specific to Rockset and Tokens to Tinybird — each maps to any object or custom field on the other side.
Virtual Instances Isolated compute units that separate ingest from query workloads. Data Sources ClickHouse-backed tables that receive ingested rows; the write target for syncs into Tinybird. Virtual Instances is specific to Rockset and Data Sources to Tinybird — each maps to any object or custom field on the other side.
Collections Schemaless document containers that ingested and synced records land in. Pipes Chained SQL nodes that transform Data Sources into query-ready results. Collections is specific to Rockset and Pipes to Tinybird — each maps to any object or custom field on the other side.
Documents JSON records addressable by _id, written via the Write API in sync pipelines. API Endpoints Published Pipe outputs exposed as parameterized HTTP queries; the main read surface. Documents is specific to Rockset and API Endpoints to Tinybird — each maps to any object or custom field on the other side.
Query Lambdas Named, parameterized SQL queries invoked over REST to read synced data. Materialized Views Pipes materialized into new Data Sources for pre-aggregation at ingest time. Query Lambdas is specific to Rockset and Materialized Views to Tinybird — each maps to any object or custom field on the other side.

How changes propagate between Rockset and Tinybird

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Rockset Tinybird Interval-based propagation

DetectionStacksync polls Rockset for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL queries on timestamp fields.

DeliveryEach detected change is applied to Tinybird as a row-level write, with types converted between the two schemas.

Tinybird Rockset Interval-based propagation

DetectionStacksync polls Tinybird for changes on an incremental schedule, reading only records changed since the previous pass. Append-oriented ingestion.

DeliveryEach detected change is applied to Rockset as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Tinybird: Subject to the platform's ingestion and query rate limits; batch appends where possible.
What ships with Rockset ⇄ Tinybird

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Rockset or Tinybird 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 Tinybird record.

Observability

Monitoring

Track your Rockset ⇄ Tinybird 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 Tinybird.

How the Rockset and Tinybird 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

Tinybird

Integration surface
REST API (Events API for ingestion, published query endpoints) with a ClickHouse SQL dialect
Authentication
Scoped auth tokens
Change detection
Append-oriented ingestion; reads are pulled by querying published endpoints, no outbound CDC
Capabilities
read · write
Rate limits
Subject to the platform's ingestion and query rate limits; batch appends where possible.
How it works

How to connect Rockset to Tinybird — 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 Tinybird 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
    Tinybird connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Rockset and Tinybird 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 ⇄ Tinybird
    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 Tinybird
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Rockset and Tinybird integration FAQ

SECURITY

Security teams trust 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.

SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 427 integrations available for Rockset and Tinybird.

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