Real-time
Two-way sync
Changes in Exasol or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Exasol to TimescaleDB integration — real-time, two-way sync
Keep Exasol 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
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Why teams connect Exasol and TimescaleDB
Connect TimescaleDB and Exasol 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 Exasol, 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 Exasol in real time, and result tables in Exasol sync back into TimescaleDB, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Sync computed metrics or customer segments from Exasol back into a CRM for sales and marketing use (reverse ETL).
- 02 Consolidate data from multiple operational databases into Exasol as the central analytics layer.
- 03 Keep device or asset reference tables bi-directionally in sync between TimescaleDB and an ERP.
- 04 Consolidate metrics from several services into one hypertable to serve a single reporting layer.
Common sync patterns
Serve warehouse results at database speed
Aggregates or model outputs computed in Exasol sync into TimescaleDB, 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 Exasol and keep TimescaleDB focused on its operational workload.
What you can sync between Exasol 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.
| Exasol objects | TimescaleDB objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces that group the tables a sync reads from or writes into. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Views Read-only query surfaces often used as curated sources for reverse ETL. | 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. | |
| Tables Primary sync target; columnar relational tables written with standard SQL. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Tables is specific to Exasol and Continuous Aggregates to TimescaleDB — each maps to any object or custom field on the other side. | |
| Virtual schemas Federated views over external sources; useful for deciding what needs physical replication. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Virtual schemas is specific to Exasol and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side. | |
| UDF scripts In-database functions that can transform synced data after load. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | UDF scripts is specific to Exasol and Hypertables to TimescaleDB — each maps to any object or custom field on the other side. | |
| Users and roles Grant read/write access for the dedicated integration account. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Users and roles is specific to Exasol and Chunks to TimescaleDB — each maps to any object or custom field on the other side. |
How changes propagate between Exasol 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.
Exasol TimescaleDB Interval-based propagation
DetectionStacksync polls Exasol for changes on an incremental schedule, reading only records changed since the previous pass. Polling with timestamp or key columns.
DeliveryEach detected change is applied to TimescaleDB as a row-level write, with types converted between the two schemas.
TimescaleDB Exasol 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 Exasol as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Exasol: No API quota; concurrency is bounded by cluster resources and session limits.
- TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
What ships with Exasol ⇄ TimescaleDB
Connect Exasol and TimescaleDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Exasol–TimescaleDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Exasol 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 Exasol or TimescaleDB record.
Observability
Monitoring
Track your Exasol ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Exasol and TimescaleDB.
How the Exasol and TimescaleDB connectors work
Exasol
- Integration surface
- SQL over JDBC/ODBC drivers and a WebSocket-based client protocol
- Authentication
- Database credentials (username and password)
- Change detection
- Polling with timestamp or key columns; Exasol does not expose a transaction-log change feed to clients
- Capabilities
- read · write
- Rate limits
- No API quota; concurrency is bounded by cluster resources and session limits
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 Exasol 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 Exasol 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.
Exasol
connected
TimescaleDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Exasol 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 · Exasol ⇄ 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.
Exasol TimescaleDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Exasol and TimescaleDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Exasol and TimescaleDB: authenticate both systems, choose the objects to sync (such as Exasol's Schemas and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Exasol and TimescaleDB: Serve warehouse results at database speed; Fresh analytics without loading windows; Offload heavy reads. Aggregates or model outputs computed in Exasol sync into TimescaleDB, where whatever reads from that database gets them without querying the warehouse.
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Exasol: SQL over JDBC/ODBC drivers and a WebSocket-based client protocol. Authentication: Database credentials (username and password). TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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Exasol: Bulk loading uses the IMPORT statement, which is more efficient than row-by-row inserts for sync workloads. TimescaleDB: Hypertables automatically partition rows into time-based chunks while inserts and queries target the parent table. Stacksync's field mapping accounts for these differences between Exasol and TimescaleDB without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Exasol and TimescaleDB records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Exasol and TimescaleDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Exasol–TimescaleDB integration in-house.
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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