Softwr

Automation Integration · head to head

Meltano vs OpenSearch

Meltano logo

Meltano

Automation Integration

Open source ELT built on the Singer tap and target ecosystem, configured as code

From
Free
Rated
-
Full reviewWebsite
OpenSearch logo

OpenSearch

Databases

Open-source search and analytics suite forked from Elasticsearch

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Meltano the company behind Meltano wound down in December 2025 and the project was transferred to Matatika, a much smaller organisation, so roadmap velocity and the size of the maintenance team are now materially lower than the tool's reputation suggests.; OpenSearch diverged from Elasticsearch since 7.10, so clients, plugins and features no longer map one to one
  • They diverge on capability: Meltano covers Singer plugin management, OpenSearch covers Full-text search.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Meltano and OpenSearch actually diverge.

Attributes where Meltano and OpenSearch differ
AttributeMeltanoOpenSearch
Pricing modelOpen source, no licence feeOpen source, no licence fee; managed services billed separately
PlatformsLinux, macOS, Docker, Windows (via WSL)Linux, Docker, Kubernetes, Self-hosted
CategoryAutomation IntegrationDatabases

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

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 Meltano

  • Singer plugin management
  • Project as code
  • Environments
  • Incremental state
  • dbt integration
  • Custom taps
  • Orchestrator hooks
  • Container deployment

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.

Meltano

  • A data team that wants to stop paying per-row connector fees on high-volume sources they can extract themselvesnot OpenSearch
  • Loading from an API that no commercial ELT vendor supports, by writing a tap with the Meltano SDKnot OpenSearch
  • Keeping pipeline configuration in the same Git repository and review process as the rest of the platform codenot OpenSearch
  • A regulated environment where extraction must run inside your own network with no data passing through a vendornot OpenSearch

OpenSearch

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

Where each one falls short

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

Meltano

  • The company behind Meltano wound down in December 2025 and the project was transferred to Matatika, a much smaller organisation, so roadmap velocity and the size of the maintenance team are now materially lower than the tool's reputation suggests.
  • Singer connector quality varies enormously; a tap may be maintained, abandoned, or maintained only for the subset of endpoints its original author needed, and you will not know which until a schema change breaks a load at 3am.
  • There is no managed hosting from the project itself, so someone on your team owns scheduling, secrets, retries, alerting and upgrades, which is real headcount that a per-row SaaS bill was buying for you.
  • It is command-line and YAML first with no meaningful web interface, so analysts who are not comfortable in Git and a terminal cannot maintain pipelines themselves.
  • Debugging spans three layers, the tap, Meltano itself and the target, and each has its own logging conventions, so failures often require reading Python source in a third-party connector.

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

Meltano

Free
  • MeltanoFree
    • MIT licensed, self-hosted
    • No paid Meltano Cloud tier; it was retired before the company wound down
    • Community support via Slack and GitHub

OpenSearch

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

Which should you pick?

Choose Meltano if

  • You need singer plugin management.
  • You want to start without paying.
  • You work on Linux, macOS, Docker, Windows (via WSL).
  • You also want project as code.
Meltano review

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.
OpenSearch review

Questions people ask

Is Meltano or OpenSearch better?
Neither clearly leads. Meltano 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, Meltano or OpenSearch?
Meltano starts at Free and OpenSearch at Free.
Does Meltano or OpenSearch run on more platforms?
Meltano runs on Linux, macOS, Docker, Windows (via WSL). OpenSearch runs on Linux, Docker, Kubernetes, Self-hosted.
Can I use Meltano for free?
Both have a free tier, so you can try either at no cost before committing.
What is Meltano best used for?
Meltano is most often used for a data team that wants to stop paying per-row connector fees on high-volume sources they can extract themselves, loading from an api that no commercial elt vendor supports, by writing a tap with the meltano sdk, keeping pipeline configuration in the same git repository and review process as the rest of the platform code, a regulated environment where extraction must run inside your own network with no data passing through a vendor. Of those, a data team that wants to stop paying per-row connector fees on high-volume sources they can extract themselves and loading from an api that no commercial elt vendor supports, by writing a tap with the meltano sdk are not what OpenSearch is typically brought in for.
What can Meltano do that OpenSearch cannot?
Meltano covers Singer plugin management, Project as code, Environments, Incremental state. OpenSearch covers Full-text search, OpenSearch Dashboards, Log analytics, Vector search.

Answered from the vendors’ own pages

Meltano: Is Meltano still maintained after the company shut down?

Yes. Arch, formerly Meltano, was acquired by Matatika in December 2025 and the open source project continues under their stewardship, with releases through 2026.

OpenSearch: Is OpenSearch free?

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

Meltano: Is there a hosted Meltano?

Not from the project. Meltano Cloud was retired, and hosting now comes from Matatika or from running the container yourself.

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.

Meltano: How does it compare on cost with Fivetran?

Meltano has no licence fee, so the comparison is your engineering time versus Fivetran's per-monthly-active-row billing. High-volume, low-complexity sources favour Meltano; long tails of fiddly SaaS APIs favour Fivetran.

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.

Meltano: Can I use Airbyte connectors with it?

Yes, Meltano can run Airbyte source connectors through a bridge, which widens the connector pool beyond Singer taps.

Share

Related pages

More on Meltano

More on OpenSearch

Keep looking

Other head to heads