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Data warehouse ⇄ Database

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

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

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  • 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 TimescaleDB

Connect TimescaleDB 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 TimescaleDB'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 TimescaleDB where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in TimescaleDB sync into Rockset in real time, and result tables in Rockset sync back into TimescaleDB, with schema and type mapping between the two systems handled for you.

Common use cases

  • Sync Postgres or DynamoDB tables into collections for low-latency aggregations without loading a batch warehouse.
  • Read query results back into an operational database to expose computed metrics to applications.
  • Keep device or asset reference tables bi-directionally in sync between TimescaleDB and an ERP.
  • Consolidate metrics from several services into one hypertable to serve a single reporting layer.

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 TimescaleDB focused on its operational workload.

Operational data in the warehouse, minus the pipeline

Rows from TimescaleDB land in Rockset as they change, replacing hand-built CDC and batch extract jobs.

What you can sync between Rockset and TimescaleDB

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 TimescaleDB objects
Documents JSON records addressable by _id, written via the Write API in sync pipelines. Schemas Postgres namespaces used to separate synced datasets by team or environment.
Workspaces Namespaces that group collections and query lambdas per team or environment. Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs.
Query Lambdas Named, parameterized SQL queries invoked over REST to read synced data. Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly.
Aliases Stable names that point at collections, used to swap datasets without changing queries. Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems.
Integrations Managed source connections (databases, streams, object storage) feeding collections. Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data.
Virtual Instances Isolated compute units that separate ingest from query workloads. Views Standard SQL views used to shape or filter data for consumers.
What ships with Rockset ⇄ TimescaleDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Rockset or TimescaleDB 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 TimescaleDB record.

Observability

Monitoring

Track your Rockset ⇄ TimescaleDB 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 TimescaleDB.

How the Rockset and TimescaleDB 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

TimescaleDB

Integration surface
SQL wire protocol (PostgreSQL)
Authentication
Database credentials
Change detection
Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by database resources and connection limits.
How it works

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

    Choose tables

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

Rockset and TimescaleDB 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.

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:

Related integrations

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

Popular · 8 of 386
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