Real-time
Two-way sync
Changes in Elasticsearch or Exasol instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
Elasticsearch to Exasol integration — real-time, two-way sync
Keep Elasticsearch and Exasol 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 Elasticsearch and Exasol
Connect Elasticsearch 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 Elasticsearch'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 Elasticsearch where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Elasticsearch sync into Exasol in real time, and result tables in Exasol sync back into Elasticsearch, with schema and type mapping between the two systems handled for you.
Common use cases
- Load CRM and ERP records into Exasol tables on a schedule so analysts query fresh operational data.
- Sync computed metrics or customer segments from Exasol back into a CRM for sales and marketing use (reverse ETL).
- Mirror support tickets into an index used for full-text search and agent-assist tooling.
- Feed enriched customer records into an index used for vector or hybrid search in AI applications.
Offload heavy reads
Point analytical queries at the synced copy in Exasol and keep Elasticsearch focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from Elasticsearch land in Exasol as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Exasol sync into Elasticsearch, where whatever reads from that database gets them without querying the warehouse.
What you can sync between Elasticsearch and Exasol
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.
| Elasticsearch objects | Exasol objects | |
|---|---|---|
| Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Views Read-only query surfaces often used as curated sources for reverse ETL. | |
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Virtual schemas Federated views over external sources; useful for deciding what needs physical replication. | |
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | UDF scripts In-database functions that can transform synced data after load. | |
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | Users and roles Grant read/write access for the dedicated integration account. | |
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Schemas Namespaces that group the tables a sync reads from or writes into. | |
| Data streams Append-only targets for time-series or event data pushed from source systems. | Tables Primary sync target; columnar relational tables written with standard SQL. |
What ships with Elasticsearch ⇄ Exasol
Connect Elasticsearch and Exasol for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Exasol connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Elasticsearch or Exasol 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 Elasticsearch or Exasol record.
Observability
Monitoring
Track your Elasticsearch ⇄ Exasol sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Elasticsearch and Exasol.
How the Elasticsearch and Exasol connectors work
Elasticsearch
- Integration surface
- REST API (JSON over HTTP)
- Authentication
- API keys or basic authentication; Elastic Cloud also issues service account tokens
- Change detection
- Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks
- Capabilities
- read · write
- Rate limits
- No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity
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
How it works
How to connect Elasticsearch to Exasol — 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 Elasticsearch and Exasol with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Elasticsearch
connected
Exasol
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Elasticsearch and Exasol 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 · Elasticsearch ⇄ ExasolCustomers 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.
Elasticsearch ExasolCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Elasticsearch and Exasol integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Elasticsearch and Exasol: authenticate both systems, choose the objects to sync (such as Elasticsearch's Index templates and Indices), 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 Elasticsearch and Exasol. 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 Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. On Exasol: Polling with timestamp or key columns; Exasol does not expose a transaction-log change feed to clients. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Exasol side: Users and roles, Schemas, Tables, Views, plus custom fields where Exasol exposes them. On the Elasticsearch side: Index templates, Indices, Documents, Index mappings. 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.
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Common patterns for Elasticsearch and Exasol: Offload heavy reads; Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed. Point analytical queries at the synced copy in Exasol and keep Elasticsearch focused on its operational workload.
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 Elasticsearch and Exasol.
Popular · 8 of 386
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Elasticsearch ⇄ Apache Pinot -
Elasticsearch ⇄ Azure Synapse Analytics -
Elasticsearch ⇄ ClickHouse -
Elasticsearch ⇄ Cloudera Data Platform -
Exasol ⇄ Postgres Heroku -
Exasol ⇄ Airtable -
Exasol ⇄ AWS Aurora MySQL - Exasol ⇄ AWS Aurora PostgreSQL
No integrations match .
