Two-way sync
Changes in Amazon Lightsail or Elasticsearch instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Lightsail 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.
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 Amazon Lightsail and Elasticsearch 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.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Keep the same dataset live in both Amazon Lightsail and Elasticsearch, so each workload runs on the engine that suits it.
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.
| Amazon Lightsail objects | Elasticsearch objects | |
|---|---|---|
| Databases Logical databases on the instance that scope a connection. | Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | |
| Schemas Namespaces used when selecting tables to sync. | Indices Target containers for synced records; each holds a table-like collection of JSON documents. | |
| Tables Relational tables read from and written to at row level. | Documents The unit of sync; JSON records created, updated, and deleted by _id. | |
| Views Query-backed read-only sources. | Index mappings Field type definitions that determine how synced fields are indexed and queried. | |
| Users and Grants Database accounts used to give the sync connection scoped access. | Aliases Stable read/write names that let a sync cut over between index versions without downtime. | |
| Managed Databases Lightsail-hosted MySQL or PostgreSQL instances that a sync connects to as standard databases. | Data streams Append-only targets for time-series or event data pushed from source systems. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Lightsail–Elasticsearch connection.
Changes in Amazon Lightsail or Elasticsearch instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Lightsail 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 Amazon Lightsail or Elasticsearch record.
Track your Amazon Lightsail ⇄ Elasticsearch sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Lightsail 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 Amazon Lightsail 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 Amazon Lightsail 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 Amazon Lightsail and Elasticsearch: authenticate both systems, choose the objects to sync (such as Amazon Lightsail's Databases and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Amazon Lightsail side: Tables, Views, Users and Grants, Managed Databases, plus custom fields where Amazon Lightsail exposes them. On the Elasticsearch side: Aliases, Data streams, Ingest pipelines, Index templates. 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 Amazon Lightsail and Elasticsearch: Shared reference data between services; Regional or environment copies; Cross-engine sync. Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Amazon Lightsail: MySQL or PostgreSQL wire protocol (SQL) to the managed database endpoint. Authentication: Database credentials; public endpoint access must be enabled or a tunnel used. Elasticsearch: REST API (JSON over HTTP). Authentication: API keys or basic authentication; Elastic Cloud also issues service account tokens. Stacksync manages authentication, retries, and rate limits on both sides.
Amazon Lightsail: Lightsail managed databases run standard MySQL or PostgreSQL engines, so integrations use ordinary database drivers and SQL rather than a proprietary API. 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 Amazon Lightsail and Elasticsearch without custom code.
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 Amazon Lightsail and Elasticsearch.