Two-way sync
Changes in Azure Synapse Analytics or Elasticsearch instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Synapse Analytics and Elasticsearch in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Elasticsearch's rows in Azure Synapse Analytics, 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 Azure Synapse Analytics in real time, and result tables in Azure Synapse Analytics sync back into Elasticsearch, with schema and type mapping between the two systems handled for you.
Point analytical queries at the synced copy in Azure Synapse Analytics and keep Elasticsearch focused on its operational workload.
Rows from Elasticsearch land in Azure Synapse Analytics as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Azure Synapse Analytics sync into Elasticsearch, where whatever reads from that database gets them without querying the warehouse.
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.
| Azure Synapse Analytics objects | Elasticsearch objects | |
|---|---|---|
| Schemas Namespaces that separate staging, integration, and presentation layers. | Ingest pipelines Server-side transforms applied to documents as a sync writes them. | |
| Materialized views Precomputed aggregates that speed reads of frequently synced result sets. | Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | |
| SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | Indices Target containers for synced records; each holds a table-like collection of JSON documents. | |
| Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. | Documents The unit of sync; JSON records created, updated, and deleted by _id. | |
| External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | Index mappings Field type definitions that determine how synced fields are indexed and queried. | |
| Views Curated projections used when downstream tools should not read base tables directly. | Aliases Stable read/write names that let a sync cut over between index versions without downtime. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Synapse Analytics–Elasticsearch connection.
Changes in Azure Synapse Analytics or Elasticsearch instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Synapse Analytics or Elasticsearch data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Azure Synapse Analytics or Elasticsearch record.
Track your Azure Synapse Analytics ⇄ Elasticsearch sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Synapse Analytics and Elasticsearch.
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.
Authenticate Azure Synapse Analytics and Elasticsearch with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Azure Synapse Analytics and Elasticsearch 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Azure Synapse Analytics and Elasticsearch: authenticate both systems, choose the objects to sync (such as Azure Synapse Analytics's Schemas and Materialized views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Azure Synapse Analytics and Elasticsearch. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Azure Synapse Analytics: Polling on watermark columns; Synapse SQL pools do not expose log-based CDC for downstream consumers. On Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Azure Synapse Analytics side: External tables, Views, Schemas, Materialized views, plus custom fields where Azure Synapse Analytics exposes them. On the Elasticsearch side: Ingest pipelines, Index templates, Indices, Documents. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for Azure Synapse Analytics and Elasticsearch: 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 Azure Synapse Analytics and keep Elasticsearch focused on its operational workload.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Azure Synapse Analytics and Elasticsearch.