Real-time
Two-way sync
Changes in Elasticsearch or Tinybird instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
Elasticsearch to Tinybird integration — real-time, two-way sync
Keep Elasticsearch and Tinybird 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 Elasticsearch and Tinybird
Connect Elasticsearch and Tinybird 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 Tinybird, 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 Tinybird in real time, and result tables in Tinybird sync back into Elasticsearch, with schema and type mapping between the two systems handled for you.
Common use cases
- Sync order events from an ERP into Tinybird to serve low-latency operational analytics endpoints.
- Compute aggregates in Tinybird and write the results back to CRM fields for scoring and routing.
- Sync CRM accounts and contacts into an Elasticsearch index to power internal search across customer records.
- Push product catalog data from an ERP or commerce database into Elasticsearch for storefront search.
Offload heavy reads
Point analytical queries at the synced copy in Tinybird and keep Elasticsearch focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from Elasticsearch land in Tinybird as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Tinybird sync into Elasticsearch, where whatever reads from that database gets them without querying the warehouse.
What you can sync between Elasticsearch and Tinybird
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 | Tinybird objects | |
|---|---|---|
| Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Materialized Views Pipes materialized into new Data Sources for pre-aggregation at ingest time. | |
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Workspaces Project boundary that scopes Data Sources, Pipes, and tokens for a sync. | |
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | Tokens Scoped credentials that control read and append rights per resource. | |
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | Data Sources ClickHouse-backed tables that receive ingested rows; the write target for syncs into Tinybird. | |
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Pipes Chained SQL nodes that transform Data Sources into query-ready results. | |
| Data streams Append-only targets for time-series or event data pushed from source systems. | API Endpoints Published Pipe outputs exposed as parameterized HTTP queries; the main read surface. |
What ships with Elasticsearch ⇄ Tinybird
Connect Elasticsearch and Tinybird for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Tinybird connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Elasticsearch or Tinybird 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 Tinybird record.
Observability
Monitoring
Track your Elasticsearch ⇄ Tinybird 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 Tinybird.
How the Elasticsearch and Tinybird 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
Tinybird
- Integration surface
- REST API (Events API for ingestion, published query endpoints) with a ClickHouse SQL dialect
- Authentication
- Scoped auth tokens
- Change detection
- Append-oriented ingestion; reads are pulled by querying published endpoints, no outbound CDC
- Capabilities
- read · write
- Rate limits
- Subject to the platform's ingestion and query rate limits; batch appends where possible.
How it works
How to connect Elasticsearch to Tinybird — 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 Tinybird 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
Tinybird
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Elasticsearch and Tinybird 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 ⇄ TinybirdCustomers 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 TinybirdCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Elasticsearch and Tinybird integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Elasticsearch and Tinybird: 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.
-
Tinybird: The Events API accepts NDJSON rows over plain HTTP, which suits high-frequency appends from sync jobs. Elasticsearch: A field's mapping is fixed once indexed; changing a field type requires reindexing into a new index, typically swapped in behind an alias. Stacksync's field mapping accounts for these differences between Elasticsearch and Tinybird without custom code.
-
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 Elasticsearch and Tinybird records are not retained after a sync operation.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Elasticsearch and Tinybird connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Elasticsearch–Tinybird integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Elasticsearch and Tinybird. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. On Tinybird: Append-oriented ingestion; reads are pulled by querying published endpoints, no outbound CDC. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 Tinybird.
Popular · 8 of 386
-
Elasticsearch ⇄ Firebolt -
Elasticsearch ⇄ Google Cloud Platform -
Elasticsearch ⇄ Greenplum -
Elasticsearch ⇄ IBM Netezza -
Tinybird ⇄ AWS Aurora MySQL - Tinybird ⇄ AWS Aurora PostgreSQL
-
Tinybird ⇄ MongoDB -
Tinybird ⇄ CockroachDB
No integrations match .
