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Databases · head to head

Estuary vs OpenSearch

Estuary logo

Estuary

Databases

Real-time data integration combining streaming, CDC, and batch

From
Free
Rated
-
OpenSearch logo

OpenSearch

Databases

Open-source search and analytics suite forked from Elasticsearch

From
Free
Rated
-

The short version

  • Each has a real cost: Estuary per-GB pricing adds up quickly for high-volume scenarios; OpenSearch diverged from Elasticsearch since 7.10, so clients, plugins and features no longer map one to one
  • They diverge on capability: Estuary covers Real-time data delivery, OpenSearch covers Full-text search.

Where they differ

Only the attributes on which Estuary and OpenSearch actually diverge.

Attributes where Estuary and OpenSearch differ
AttributeEstuaryOpenSearch
Pricing modelUsage-based per GB plus per-connector costOpen source, no licence fee; managed services billed separately
PlatformsCloud, Private Cloud, BYOCLinux, Docker, Kubernetes, Self-hosted
Founded2019Unknown

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Estuary

  • Real-time data delivery
  • Change data capture
  • Batch processing
  • Data transformation
  • Pre-built connectors
  • Multiple deployments
  • RBAC and monitoring

Only in OpenSearch

  • Full-text search
  • OpenSearch Dashboards
  • Log analytics
  • Vector search

What people use each for

The jobs each tool is most often brought in to do.

Estuary

  • Real-time data replication to data warehousesnot OpenSearch
  • Change data capture from operational databasesnot OpenSearch
  • Feeding analytics and BI systems with fresh datanot OpenSearch
  • Powering real-time AI and ML data pipelinesnot OpenSearch

OpenSearch

  • Log and observability storage where an Apache-2.0 licence is a requirementnot Estuary
  • Replacing Elasticsearch after the licence change without changing architecturenot Estuary
  • Search plus analytics on one cluster rather than two systemsnot Estuary

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Estuary

  • Per-GB pricing adds up quickly for high-volume scenarios
  • No transparent per-connector volume discounts below 6 connectors
  • Limited to data movement; transformation capabilities are basic
  • BYOC and private deployment requires enterprise plan
  • Smaller ecosystem compared to established alternatives

OpenSearch

  • Diverged from Elasticsearch since 7.10, so clients, plugins and features no longer map one to one
  • Operationally heavy in the way Elasticsearch is: cluster sizing, shard strategy and JVM tuning are ongoing work
  • Smaller ecosystem of third-party tooling than Elasticsearch, which most integrations still target first
  • Overkill for plain application search, where a dedicated search engine is far simpler

Pricing, plan by plan

Estuary

Free
  • DeveloperFree
    • 10 GB per month
    • 2 connector instances maximum
    • No credit card required
  • Cloud$0.5/GB
    • $0.50 per GB of data moved
    • $100 per connector monthly (6+ connectors $50 each)
    • 200+ connectors
  • Enterprise$null/custom
    • Volume-based discounts
    • SOC 2 and HIPAA compliance
    • SSO authentication

OpenSearch

Free
  • OpenSearchFree
    • Full functionality
    • Self-hosted
    • No usage limits

Which should you pick?

Choose Estuary if

  • You need real-time data delivery.
  • You want to start without paying.
  • You work on Cloud, Private Cloud, BYOC.
  • You also want change data capture.

Choose OpenSearch if

  • You need full-text search.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Self-hosted.
  • You also want opensearch dashboards.

Questions people ask

Is Estuary or OpenSearch better?
Neither clearly leads. Estuary starts at Free and OpenSearch at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Estuary or OpenSearch?
Estuary starts at Free and OpenSearch at Free.
Does Estuary or OpenSearch run on more platforms?
Estuary runs on Cloud, Private Cloud, BYOC. OpenSearch runs on Linux, Docker, Kubernetes, Self-hosted.
Can I use Estuary for free?
Both have a free tier, so you can try either at no cost before committing.
What is Estuary best used for?
Estuary is most often used for real-time data replication to data warehouses, change data capture from operational databases, feeding analytics and bi systems with fresh data, powering real-time ai and ml data pipelines. Of those, real-time data replication to data warehouses and change data capture from operational databases are not what OpenSearch is typically brought in for.
What can Estuary do that OpenSearch cannot?
Estuary covers Real-time data delivery, Change data capture, Batch processing, Data transformation. OpenSearch covers Full-text search, OpenSearch Dashboards, Log analytics, Vector search.

Answered from the vendors’ own pages

Estuary: What is included in the free Developer plan?

Developer plan ($0/month) includes 10 GB of data per month and up to 2 connector instances, no credit card required.

Source
OpenSearch: Is OpenSearch free?

Yes, Apache 2.0 licensed under the Linux Foundation. Amazon OpenSearch Service is a paid managed option.

Estuary: How is data pricing calculated on Cloud plan?

Cloud plan charges $0.50 per GB of data moved plus $100/month per connector for the first 6 connectors, then $50/month for additional connectors.

Source
OpenSearch: Why does OpenSearch exist?

Elastic moved Elasticsearch off the Apache 2.0 licence in 2021. AWS forked the last Apache-licensed version, and the project now sits under the Linux Foundation.

Estuary: What discount is available when adding 6+ connectors?

When using 6 or more connectors, the per-connector cost drops to $50/month from $100/month, saving $50 per additional connector.

Source
OpenSearch: Is OpenSearch compatible with Elasticsearch?

It was at the 7.10 fork point. Both have developed independently since, so compatibility weakens with every release and should be verified for the features you use.

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