Two-way sync
Changes in Elasticsearch or OCI Database (Oracle Cloud) instantly reflect in both systems. No stale data, no manual imports.
Keep Elasticsearch and OCI Database (Oracle Cloud) in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 OCI Database (Oracle Cloud) 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.
Keep the same dataset live in both Elasticsearch and OCI Database (Oracle Cloud), so each workload runs on the engine that suits it.
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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 | OCI Database (Oracle Cloud) objects | How this pairing syncs | |
|---|---|---|---|
| Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | JSON collections Document-style storage in the converged engine, synced alongside relational tables | Index templates is specific to Elasticsearch and JSON collections to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side. | |
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Partitions Physical table subdivisions relevant when replicating large fact tables | Indices is specific to Elasticsearch and Partitions to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side. | |
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | Tables The primary sync surface; rows are read and written directly over SQL | Documents is specific to Elasticsearch and Tables to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side. | |
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | Views Read-only projections used to expose curated subsets to downstream systems | Index mappings is specific to Elasticsearch and Views to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side. | |
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Materialized views Precomputed result sets sometimes used as stable read sources for replication | Aliases is specific to Elasticsearch and Materialized views to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side. | |
| Data streams Append-only targets for time-series or event data pushed from source systems. | Schemas Namespace boundaries that scope which objects a sync connection can access | Data streams is specific to Elasticsearch and Schemas to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionStacksync polls Elasticsearch for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or sequence fields.
DeliveryEach detected change is applied to OCI Database (Oracle Cloud) as a row-level write, with types converted between the two schemas.
DetectionChanges in OCI Database (Oracle Cloud) are captured at the source via change data capture — no polling loop against its API. Log-based CDC from redo logs (LogMiner or GoldenGate), or timestamp polling.
DeliveryEach detected change is written to Elasticsearch through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–OCI Database (Oracle Cloud) connection.
Changes in Elasticsearch or OCI Database (Oracle Cloud) instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Elasticsearch or OCI Database (Oracle Cloud) data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Elasticsearch or OCI Database (Oracle Cloud) record.
Track your Elasticsearch ⇄ OCI Database (Oracle Cloud) sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Elasticsearch and OCI Database (Oracle Cloud).
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 Elasticsearch and OCI Database (Oracle Cloud) 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 Elasticsearch and OCI Database (Oracle Cloud) 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 Elasticsearch and OCI Database (Oracle Cloud): 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.
Yes — Stacksync ships production-grade connectors for both Elasticsearch and OCI Database (Oracle Cloud). 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 OCI Database (Oracle Cloud): Log-based CDC from redo logs (LogMiner or GoldenGate), or timestamp polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Elasticsearch side: Index templates, Indices, Documents, Index mappings, plus custom fields where Elasticsearch exposes them. On the OCI Database (Oracle Cloud) side: Views, Materialized views, Schemas, Sequences. 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 Elasticsearch and OCI Database (Oracle Cloud): Cross-engine sync; Migration with zero-downtime cutover; Shared reference data between services. Keep the same dataset live in both Elasticsearch and OCI Database (Oracle Cloud), so each workload runs on the engine that suits it.
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 448 integrations available for Elasticsearch and OCI Database (Oracle Cloud).