Real-time
Two-way sync
Changes in SingleStore or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Database
SingleStore to TimescaleDB integration — real-time, two-way sync
Keep SingleStore 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.
- 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
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect SingleStore and TimescaleDB
Keep SingleStore and TimescaleDB 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 SingleStore and TimescaleDB 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 Keep reference data consistent between SingleStore and application databases.
- 02 Feed synced operational data into applications that need low-latency responses over fresh data.
- 03 Consolidate metrics from several services into one hypertable to serve a single reporting layer.
- 04 Sync product or IoT telemetry stored in TimescaleDB into a CRM so account teams see usage metrics next to the customer record.
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 SingleStore 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.
| SingleStore objects | TimescaleDB objects | How this pairing syncs | |
|---|---|---|---|
| Views Read-only projections used as curated sync sources. | Views Standard SQL views used to shape or filter data for consumers. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Stored Procedures Existing logic sometimes invoked on write paths. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | Stored Procedures is specific to SingleStore and Schemas to TimescaleDB — each maps to any object or custom field on the other side. | |
| Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Indexes and Shard Keys is specific to SingleStore and Hypertables to TimescaleDB — each maps to any object or custom field on the other side. | |
| Databases The connection target containing the tables a sync addresses. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Databases is specific to SingleStore and Chunks to TimescaleDB — each maps to any object or custom field on the other side. | |
| Tables (rowstore and columnstore) Primary read/write target; storage type affects whether a table suits point lookups or scans. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Tables (rowstore and columnstore) is specific to SingleStore and Continuous Aggregates to TimescaleDB — each maps to any object or custom field on the other side. | |
| Reference Tables Small tables replicated to every node, often used for dimension data in syncs. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Reference Tables is specific to SingleStore and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side. |
How changes propagate between SingleStore and TimescaleDB
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.
SingleStore TimescaleDB Interval-based propagation
DetectionStacksync polls SingleStore for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or watermark columns.
DeliveryEach detected change is applied to TimescaleDB as a row-level write, with types converted between the two schemas.
TimescaleDB SingleStore 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 SingleStore as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- SingleStore: No API rate limits; throughput is bounded by workspace or cluster size.
- TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
What ships with SingleStore ⇄ TimescaleDB
Connect SingleStore and TimescaleDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every SingleStore–TimescaleDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever SingleStore 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 SingleStore or TimescaleDB record.
Observability
Monitoring
Track your SingleStore ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between SingleStore and TimescaleDB.
How the SingleStore and TimescaleDB connectors work
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
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 SingleStore 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.
- 01
Connect your apps
Authenticate SingleStore 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.
SingleStore
connected
TimescaleDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the SingleStore 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.
objects · SingleStore ⇄ TimescaleDBCustomers 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.
SingleStore TimescaleDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
SingleStore and TimescaleDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between SingleStore and TimescaleDB: authenticate both systems, choose the objects to sync (such as SingleStore's Views and Stored Procedures), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Change detection on SingleStore: Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the SingleStore side: Tables (rowstore and columnstore), Views, Reference Tables, Pipelines, plus custom fields where SingleStore exposes them. On the TimescaleDB side: Chunks, Continuous Aggregates, Regular PostgreSQL Tables, Views. 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 TimescaleDB: 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.
-
SingleStore: SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST. Authentication: Database credentials. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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 374 integrations available for SingleStore and TimescaleDB.
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