Real-time
Two-way sync
Changes in Elasticsearch or YugabyteDB instantly reflect in both systems. No stale data, no manual imports.
Database
Elasticsearch to YugabyteDB integration — real-time, two-way sync
Keep Elasticsearch 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
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Migrated from Celigo
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Elasticsearch and YugabyteDB
Keep Elasticsearch 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 Elasticsearch 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
- 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.
- Consolidate data from regional YugabyteDB clusters into one reporting store.
- Run log-based CDC from YugabyteDB tables into a warehouse for analytics without batch dumps.
Regional or environment copies
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Cross-engine sync
Keep the same dataset live in both Elasticsearch and YugabyteDB, so each workload runs on the engine that suits it.
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.
What you can sync between Elasticsearch 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.
| Elasticsearch objects | YugabyteDB objects | |
|---|---|---|
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Materialized Views Precomputed query results available in YSQL for read-side shaping. | |
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | Schemas Postgres-style namespaces in YSQL used to organize synced data. | |
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | Sequences ID generation objects relevant when syncing writes into YSQL tables. | |
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | CDC Streams Change streams over the storage-layer WAL consumed through logical replication or Debezium-compatible connectors. | |
| Data streams Append-only targets for time-series or event data pushed from source systems. | Databases and Keyspaces Top-level containers for the YSQL (Postgres-style) and YCQL (Cassandra-style) APIs respectively. | |
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Tables Distributed SQL tables split into tablets; the primary read and write targets. |
What ships with Elasticsearch ⇄ YugabyteDB
Connect Elasticsearch and YugabyteDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–YugabyteDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Elasticsearch 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 Elasticsearch or YugabyteDB record.
Observability
Monitoring
Track your Elasticsearch ⇄ YugabyteDB 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 YugabyteDB.
How the Elasticsearch and YugabyteDB 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
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 Elasticsearch 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 Elasticsearch 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.
Elasticsearch
connected
YugabyteDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Elasticsearch 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 · Elasticsearch ⇄ 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.
Elasticsearch YugabyteDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Elasticsearch and YugabyteDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Elasticsearch and YugabyteDB: authenticate both systems, choose the objects to sync (such as Elasticsearch's Indices and Documents), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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. YugabyteDB: CDC is exposed from the storage-layer WAL through PostgreSQL logical replication and Debezium-compatible connectors. Stacksync's field mapping accounts for these differences between Elasticsearch and YugabyteDB 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 Elasticsearch and YugabyteDB 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 Elasticsearch and YugabyteDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Elasticsearch–YugabyteDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Elasticsearch 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 Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. 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.
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 YugabyteDB.
Popular · 8 of 386
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Elasticsearch ⇄ TimescaleDB -
Elasticsearch ⇄ VoltDB -
Elasticsearch ⇄ PostgreSQL -
Elasticsearch ⇄ Amazon RDS -
YugabyteDB ⇄ MongoDB -
YugabyteDB ⇄ CockroachDB -
YugabyteDB ⇄ Google AlloyDB -
YugabyteDB ⇄ Dynamo DB
No integrations match .
