Real-time
Two-way sync
Changes in Elasticsearch or VoltDB instantly reflect in both systems. No stale data, no manual imports.
Database
Elasticsearch to VoltDB integration — real-time, two-way sync
Keep Elasticsearch and VoltDB 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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Migrated from Celigo
Why teams connect Elasticsearch and VoltDB
Keep Elasticsearch and VoltDB 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 VoltDB 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.
- Keep product, plan, or entitlement state consistent between VoltDB and back-office systems.
- Push aggregates from VoltDB materialized views into dashboards or operational tools.
Migration with zero-downtime cutover
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
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.
What you can sync between Elasticsearch and VoltDB
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 | VoltDB objects | |
|---|---|---|
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Replicated Tables Small reference tables copied to every partition, a common landing spot for synced lookup data. | |
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | Stored Procedures Precompiled transactional units that serve as the primary write interface. | |
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | Materialized Views Synchronously maintained aggregates over tables, useful as pre-computed read sources. | |
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Streams Insert-only constructs that feed the export subsystem with committed rows. | |
| Data streams Append-only targets for time-series or event data pushed from source systems. | Export Targets and Topics Connectors that push committed data to external systems such as Kafka or JDBC sinks. | |
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Partitioned Tables Tables sharded across partitions by a partitioning column; the primary transactional store and sync target. |
What ships with Elasticsearch ⇄ VoltDB
Connect Elasticsearch and VoltDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–VoltDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Elasticsearch or VoltDB 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 VoltDB record.
Observability
Monitoring
Track your Elasticsearch ⇄ VoltDB 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 VoltDB.
How the Elasticsearch and VoltDB 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
VoltDB
- Integration surface
- SQL over JDBC plus native client libraries and an HTTP/JSON interface
- Authentication
- Database credentials
- Change detection
- Export streams and topics push committed changes to configured targets; otherwise polling
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput is bounded by partition count and cluster sizing.
How it works
How to connect Elasticsearch to VoltDB — 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 VoltDB 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
VoltDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Elasticsearch and VoltDB 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 ⇄ VoltDBCustomers 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 VoltDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Elasticsearch and VoltDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Elasticsearch and VoltDB: authenticate both systems, choose the objects to sync (such as Elasticsearch's Indices and Documents), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Elasticsearch and VoltDB: Migration with zero-downtime cutover; Shared reference data between services; Regional or environment copies. When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
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Elasticsearch: REST API (JSON over HTTP). Authentication: API keys or basic authentication; Elastic Cloud also issues service account tokens. VoltDB: SQL over JDBC plus native client libraries and an HTTP/JSON interface. Authentication: Database credentials. 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. VoltDB: Data is held in memory, with durability provided by command logging and periodic snapshots. Stacksync's field mapping accounts for these differences between Elasticsearch and VoltDB 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 VoltDB 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 VoltDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Elasticsearch–VoltDB integration in-house.
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 VoltDB.
Popular · 8 of 386
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Elasticsearch ⇄ Azure Cosmos DB -
Elasticsearch ⇄ Azure SQL Database -
Elasticsearch ⇄ Citus -
Elasticsearch ⇄ Couchbase -
VoltDB ⇄ SQL Server -
VoltDB ⇄ Postgres Heroku -
VoltDB ⇄ Airtable -
VoltDB ⇄ AWS Aurora MySQL
No integrations match .
