Real-time
Two-way sync
Changes in TimescaleDB or YugabyteDB instantly reflect in both systems. No stale data, no manual imports.
Database
TimescaleDB to YugabyteDB integration — real-time, two-way sync
Keep TimescaleDB and YugabyteDB 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
Case study
Migrated from Celigo
Why teams connect TimescaleDB and YugabyteDB
Keep TimescaleDB and YugabyteDB synchronized in real time, across engines, regions, or services, in one or both directions.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between TimescaleDB and YugabyteDB continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Common use cases
- 01 Consolidate metrics from several services into one hypertable to serve a single reporting layer.
- 02 Sync product or IoT telemetry stored in TimescaleDB into a CRM so account teams see usage metrics next to the customer record.
- 03 Consolidate data from regional YugabyteDB clusters into one reporting store.
- 04 Run log-based CDC from YugabyteDB tables into a warehouse for analytics without batch dumps.
Common sync patterns
Migration with zero-downtime cutover
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Shared reference data between services
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Regional or environment copies
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
What you can sync between TimescaleDB and YugabyteDB
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.
| TimescaleDB objects | YugabyteDB objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Postgres namespaces used to separate synced datasets by team or environment. | Schemas Postgres-style namespaces in YSQL used to organize synced data. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Tables Distributed SQL tables split into tablets; the primary read and write targets. | Continuous Aggregates is specific to TimescaleDB and Tables to YugabyteDB — each maps to any object or custom field on the other side. | |
| Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Indexes Global secondary indexes maintained transactionally alongside table writes. | Regular PostgreSQL Tables is specific to TimescaleDB and Indexes to YugabyteDB — each maps to any object or custom field on the other side. | |
| Views Standard SQL views used to shape or filter data for consumers. | Materialized Views Precomputed query results available in YSQL for read-side shaping. | Views is specific to TimescaleDB and Materialized Views to YugabyteDB — each maps to any object or custom field on the other side. | |
| Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Sequences ID generation objects relevant when syncing writes into YSQL tables. | Hypertables is specific to TimescaleDB and Sequences to YugabyteDB — each maps to any object or custom field on the other side. | |
| Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | CDC Streams Change streams over the storage-layer WAL consumed through logical replication or Debezium-compatible connectors. | Chunks is specific to TimescaleDB and CDC Streams to YugabyteDB — each maps to any object or custom field on the other side. |
How changes propagate between TimescaleDB and YugabyteDB
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.
TimescaleDB YugabyteDB Sub-second propagation
DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.
DeliveryEach detected change is applied to YugabyteDB as a row-level write, with types converted between the two schemas.
YugabyteDB TimescaleDB Sub-second propagation
DetectionChanges in YugabyteDB are captured at the source via change data capture — no polling loop against its API. Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors.
DeliveryEach detected change is applied to TimescaleDB as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
- YugabyteDB: No API rate limits; throughput scales with cluster nodes and tablet distribution.
What ships with TimescaleDB ⇄ YugabyteDB
Connect TimescaleDB and YugabyteDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every TimescaleDB–YugabyteDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever TimescaleDB or YugabyteDB 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 TimescaleDB or YugabyteDB record.
Observability
Monitoring
Track your TimescaleDB ⇄ YugabyteDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between TimescaleDB and YugabyteDB.
How the TimescaleDB and YugabyteDB connectors work
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.
YugabyteDB
- Integration surface
- SQL wire protocol (PostgreSQL-compatible YSQL) plus a Cassandra-compatible YCQL API
- Authentication
- Database credentials
- Change detection
- Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput scales with cluster nodes and tablet distribution.
How it works
How to connect TimescaleDB to YugabyteDB — 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.
- 01
Connect your apps
Authenticate TimescaleDB and YugabyteDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
TimescaleDB
connected
YugabyteDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the TimescaleDB and YugabyteDB 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.
objects · TimescaleDB ⇄ YugabyteDBCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
TimescaleDB YugabyteDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
TimescaleDB and YugabyteDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between TimescaleDB and YugabyteDB: authenticate both systems, choose the objects to sync (such as TimescaleDB's Schemas and Continuous Aggregates), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both TimescaleDB and YugabyteDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on TimescaleDB: 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. On YugabyteDB: Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the TimescaleDB side: Schemas, Hypertables, Chunks, Continuous Aggregates, plus custom fields where TimescaleDB exposes them. On the YugabyteDB side: Sequences, CDC Streams, Databases and Keyspaces, Tables. Stacksync auto-detects both schemas and converts types between the two systems.
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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 TimescaleDB and YugabyteDB: Migration with zero-downtime cutover; Shared reference data between services; Regional or environment copies. When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
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
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