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Automation Integration · head to head

Meltano vs Together AI

Meltano logo

Meltano

Automation Integration

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

From
Free
Rated
-
Full reviewWebsite
Together AI logo

Together AI

AI

Open-source AI at scale

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.; Together AI free tier limits not clearly specified in pricing documentation
  • They diverge on capability: Meltano covers Singer plugin management, Together AI covers Open-source models.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Meltano and Together AI actually diverge.

Attributes where Meltano and Together AI differ
AttributeMeltanoTogether AI
Pricing modelOpen source, no licence feeusage-based
PlatformsLinux, macOS, Docker, Windows (via WSL)Api, Cloud
CategoryAutomation IntegrationAI
FoundedUnknown2022

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 Together AI

  • Open-source models
  • Fine-tuning
  • Fast inference
  • Embeddings
  • REST API
  • Python SDK
  • OpenAI compatible
  • Api support

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

Together AI

  • LLM inference for production AI applicationsnot Meltano
  • Content generation at scalenot Meltano
  • Code execution and embeddingsnot Meltano
  • Model fine-tuning and trainingnot Meltano
  • Startup and enterprise AI deploymentnot 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.

Together AI

  • Free tier limits not clearly specified in pricing documentation
  • Pricing varies significantly by model and use case
  • Requires account setup for production access
  • Batch API discounts apply only to non-urgent workloads

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

Together AI

Free
  • Serverless Inference$0.03/1M input tokens
    • Chat and Vision models
    • Image generation
    • Video generation
  • Provisioned Throughput$21600/month
    • Up to 83% savings vs commercial alternatives
    • Reserved capacity
    • Guaranteed throughput
  • Dedicated Inference$5.49/hour
    • H100 GPU instance
    • Single-tenant deployment
    • No resource sharing
  • GPU Clusters$3.99/GPU-hour
    • On-demand capacity
    • Volume discounts available
    • Reserved options with up to 35% savings

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 Together AI if

  • You need open-source models.
  • You want to start without paying.
  • You work on Api, Cloud.
  • You also want fine-tuning.
Together AI review

Questions people ask

Is Meltano or Together AI better?
Neither clearly leads. Meltano starts at Free and Together AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Meltano or Together AI?
Meltano starts at Free and Together AI at Free.
Does Meltano or Together AI run on more platforms?
Meltano runs on Linux, macOS, Docker, Windows (via WSL). Together AI runs on Api, Cloud.
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 Together AI is typically brought in for.
What can Meltano do that Together AI cannot?
Meltano covers Singer plugin management, Project as code, Environments, Incremental state. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.

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.

Together AI: Does Together AI offer a free tier?

Yes, Together AI advertises 'Start for free, scale on demand,' but specific free tier usage limits are not detailed on the pricing page.

Source
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.

Together AI: What are Together AI's highest model prices?

Serverless inference pricing ranges from free for base models up to $4.40 per 1M input tokens for premium models. Video generation costs $0.14 to $3.20 per video depending on resolution.

Source
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.

Together AI: How much can I save with Provisioned Throughput?

Together AI offers up to 83% savings compared to commercial alternatives when using their Provisioned Throughput option with reserved capacity.

Source
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.

Together AI: What is Together AI's fine-tuning pricing?

Standard fine-tuning costs $0.48 to $2.90 per 1M tokens depending on model size, with a minimum charge of $4.00 per job.

Source
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