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Automation Integration · head to head

Meltano vs Rowy

Meltano logo

Meltano

Automation Integration

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

From
Free
Rated
-
Full reviewWebsite
Rowy logo

Rowy

Spreadsheets

Spreadsheet interface for Google Cloud Firestore with cloud functions written in the browser

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.; Rowy every Firestore limit is inherited, including the one megabyte per document ceiling and roughly one sustained write per second per document, which surprises users who expect spreadsheet behaviour.
  • They diverge on capability: Meltano covers Singer plugin management, Rowy covers Firestore backed grid.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Meltano and Rowy actually diverge.

Attributes where Meltano and Rowy differ
AttributeMeltanoRowy
PlatformsLinux, macOS, Docker, Windows (via WSL)Web
CategoryAutomation IntegrationSpreadsheets

Identical on both: starting price (Free), pricing model (Open source, no licence fee), 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 Rowy

  • Firestore backed grid
  • Browser authored cloud functions
  • Typed columns
  • Runs in your Google Cloud project
  • Role based access
  • Form view
  • Open source

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 Rowy
  • Loading from an API that no commercial ELT vendor supports, by writing a tap with the Meltano SDKnot Rowy
  • Keeping pipeline configuration in the same Git repository and review process as the rest of the platform codenot Rowy
  • A regulated environment where extraction must run inside your own network with no data passing through a vendornot Rowy

Rowy

  • A Firebase application that needs an internal admin interface without building onenot Meltano
  • Operations staff correcting production records in Firestore without developer involvementnot Meltano
  • Attaching a small transformation or notification function to a field change without a full deployment pipelinenot Meltano
  • A content team populating documents that a mobile application reads directly from Firestorenot 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.

Rowy

  • Every Firestore limit is inherited, including the one megabyte per document ceiling and roughly one sustained write per second per document, which surprises users who expect spreadsheet behaviour.
  • Firestore has no joins, so linking tables in the grid is a convenience layer rather than a relational feature and reports across collections still need a separate query.
  • It is useful only to teams already on Firebase, so choosing it effectively locks the operational tooling to one cloud vendor.
  • Query costs are billed by document read, and an unfiltered grid on a large collection can generate a bill that a spreadsheet user has no intuition for.
  • Development activity has slowed relative to the broader category, so evaluate current maintenance before making it load bearing for internal operations.

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

Rowy

Free
  • Open source self hostedFree
    • No licence fee
    • Deploys into your own Google Cloud project
    • You pay Google Cloud for Firestore reads, writes and storage

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 Rowy if

  • You need firestore backed grid.
  • You want to start without paying.
  • You also want browser authored cloud functions.
Rowy review

Questions people ask

Is Meltano or Rowy better?
Neither clearly leads. Meltano starts at Free and Rowy at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Meltano or Rowy?
Meltano starts at Free and Rowy at Free.
Does Meltano or Rowy run on more platforms?
Meltano runs on Linux, macOS, Docker, Windows (via WSL). Rowy runs on Web.
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 Rowy is typically brought in for.
What can Meltano do that Rowy cannot?
Meltano covers Singer plugin management, Project as code, Environments, Incremental state. Rowy covers Firestore backed grid, Browser authored cloud functions, Typed columns, Runs in your Google Cloud project.

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.

Rowy: Where is my data stored?

In your own Firestore instance inside your own Google Cloud project. Rowy does not hold a copy.

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.

Rowy: What does it cost to run?

No licence fee. You pay Google Cloud for Firestore reads, writes, storage and function invocations, and an open grid on a big collection reads a lot.

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.

Rowy: Can it do joins across collections?

Not really. Firestore does not support joins, and no interface layer can add them.

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.

Rowy: Is there a row limit?

Not from Rowy. The limits that bite are Firestore document size and per document write throughput.

Rowy: Is it suitable if I am not on Firebase?

No. It is specifically a Firestore interface.

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