Real-time
Two-way sync
Changes in Elasticsearch or Supabase instantly reflect in both systems. No stale data, no manual imports.
Database
Elasticsearch to Supabase integration — real-time, two-way sync
Keep Elasticsearch and Supabase 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 Supabase
Keep Elasticsearch and Supabase 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 Supabase 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
- 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.
- Push product events captured in Supabase Postgres to marketing tools for lifecycle campaigns
- Consolidate Supabase project data into a warehouse for analytics while keeping the app database as the system of record
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.
Cross-engine sync
Keep the same dataset live in both Elasticsearch and Supabase, so each workload runs on the engine that suits it.
What you can sync between Elasticsearch and Supabase
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 | Supabase objects | |
|---|---|---|
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | Storage Object Metadata File metadata rows that can be joined to synced application data. | |
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Tables Standard Postgres tables; the primary two-way sync target. | |
| Data streams Append-only targets for time-series or event data pushed from source systems. | Views Read-side projections exposed to outbound syncs. | |
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Schemas Namespaces (public and custom) that scope sync access. | |
| Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | auth.users Managed authentication users, often mirrored into CRM or support systems. | |
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Row Level Security Policies Row-level access rules that govern what the REST layer exposes. |
What ships with Elasticsearch ⇄ Supabase
Connect Elasticsearch and Supabase for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Supabase connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Elasticsearch or Supabase 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 Supabase record.
Observability
Monitoring
Track your Elasticsearch ⇄ Supabase 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 Supabase.
How the Elasticsearch and Supabase 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
Supabase
- Integration surface
- Direct PostgreSQL wire protocol connection, plus an auto-generated REST API (PostgREST)
- Authentication
- Database credentials (connection string) for SQL access; API keys (anon / service role) for the REST layer
- Change detection
- Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes
- Capabilities
- read · write · CDC · webhooks
- Rate limits
- SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits
How it works
How to connect Elasticsearch to Supabase — 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 Supabase 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
Supabase
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Elasticsearch and Supabase 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 ⇄ SupabaseCustomers 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 SupabaseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Elasticsearch and Supabase integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Elasticsearch and Supabase: authenticate both systems, choose the objects to sync (such as Elasticsearch's Index mappings and Aliases), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Elasticsearch: REST API (JSON over HTTP). Authentication: API keys or basic authentication; Elastic Cloud also issues service account tokens. Supabase: Direct PostgreSQL wire protocol connection, plus an auto-generated REST API (PostgREST). Authentication: Database credentials (connection string) for SQL access; API keys (anon / service role) for the REST layer. Stacksync manages authentication, retries, and rate limits on both sides.
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Elasticsearch: Writes are addressed by document _id, so upserts map directly onto the index API, and the _bulk endpoint batches many operations in a single request. Supabase: Supabase Realtime is built on the Postgres write-ahead log, streaming row changes over websockets. Stacksync's field mapping accounts for these differences between Elasticsearch and Supabase 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 Supabase 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 Supabase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Elasticsearch–Supabase integration in-house.
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Yes — Stacksync ships production-grade connectors for both Elasticsearch and Supabase. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Supabase.
Popular · 8 of 386
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Elasticsearch ⇄ Google AlloyDB -
Elasticsearch ⇄ Dynamo DB -
Elasticsearch ⇄ IBM Db2 -
Elasticsearch ⇄ Firebase -
Supabase ⇄ Google Cloud Spanner - Supabase ⇄ Google Cloud SQL
- Supabase ⇄ IBM AS/400
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Supabase ⇄ IBM Informix
No integrations match .
