Real-time
Two-way sync
Changes in Elasticsearch or Materialize instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
Elasticsearch to Materialize integration — real-time, two-way sync
Keep Elasticsearch and Materialize 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
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Elasticsearch and Materialize
Connect Elasticsearch and Materialize 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 Materialize, 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 Materialize in real time, and result tables in Materialize sync back into Elasticsearch, with schema and type mapping between the two systems handled for you.
Common use cases
- Drive alerting and operational tooling from SUBSCRIBE change streams instead of scheduled queries.
- Maintain real-time inventory, usage, or account-health counters consumed by customer-facing applications.
- Push product catalog data from an ERP or commerce database into Elasticsearch for storefront search.
- Mirror support tickets into an index used for full-text search and agent-assist tooling.
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 Materialize and keep Elasticsearch focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from Elasticsearch land in Materialize as they change, replacing hand-built CDC and batch extract jobs.
What you can sync between Elasticsearch and Materialize
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 | Materialize objects | |
|---|---|---|
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | Indexes In-memory arrangements that make view reads fast for serving workloads. | |
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | Clusters Compute pools that isolate ingestion, view maintenance, and serving. | |
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Connections & Secrets Stored credentials and endpoints used by sources and sinks. | |
| Data streams Append-only targets for time-series or event data pushed from source systems. | Schemas & Databases Namespaces that organize objects a sync targets. | |
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. | |
| Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize. |
What ships with Elasticsearch ⇄ Materialize
Connect Elasticsearch and Materialize for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Materialize connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Elasticsearch or Materialize 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 Materialize record.
Observability
Monitoring
Track your Elasticsearch ⇄ Materialize 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 Materialize.
How the Elasticsearch and Materialize 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
Materialize
- Integration surface
- PostgreSQL wire protocol (SQL)
- Authentication
- Database credentials (username/password; app passwords in the managed cloud service)
- Change detection
- SUBSCRIBE queries stream row-level changes of any view or table to the client
- Capabilities
- read · write · CDC
How it works
How to connect Elasticsearch to Materialize — 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 Materialize 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
Materialize
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Elasticsearch and Materialize 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 ⇄ MaterializeCustomers 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 MaterializeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Elasticsearch and Materialize integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Elasticsearch and Materialize: authenticate both systems, choose the objects to sync (such as Elasticsearch's Documents and Index mappings), 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. Materialize: PostgreSQL wire protocol (SQL). Authentication: Database credentials (username/password; app passwords in the managed cloud service). Stacksync manages authentication, retries, and rate limits on both sides.
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Materialize: SUBSCRIBE turns any view into a change stream, giving integrations a native CDC-style read path. Elasticsearch: Optimistic concurrency uses _seq_no and _primary_term instead of row locks, which matters when two writers touch the same document. Stacksync's field mapping accounts for these differences between Elasticsearch and Materialize 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 Materialize 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 Materialize connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Elasticsearch–Materialize integration in-house.
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Yes — Stacksync ships production-grade connectors for both Elasticsearch and Materialize. 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 Materialize.
Popular · 8 of 386
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Elasticsearch ⇄ Starburst Enterprise -
Elasticsearch ⇄ StarRocks -
Elasticsearch ⇄ Teradata Vantage -
Elasticsearch ⇄ Tinybird -
Materialize ⇄ Amazon RDS -
Materialize ⇄ Supabase -
Materialize ⇄ MySQL -
Materialize ⇄ MariaDB
No integrations match .
