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Jitsu vs Together AI

Jitsu logo

Jitsu

Developer Tools

Open source event pipeline that streams behavioural data to your own warehouse

From
Free
Rated
-
Together AI logo

Together AI

AI

Open-source AI at scale

From
Free
Rated
-

The short version

  • Each has a real cost: Jitsu jitsu is a pipeline, not a customer data platform, so identity resolution, audience building and reverse ETL are absent and a marketing team expecting Segment parity will be disappointed.; Together AI free tier limits not clearly specified in pricing documentation
  • They diverge on capability: Jitsu covers Event collection, 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 Jitsu and Together AI actually diverge.

Attributes where Jitsu and Together AI differ
AttributeJitsuTogether AI
Pricing modelPer month by event volumeusage-based
PlatformsWeb, Linux, Docker, Kubernetes, iOS, AndroidApi, Cloud
CategoryDeveloper ToolsAI
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 Jitsu

  • Event collection
  • Warehouse destinations
  • Connector syncs
  • Transformations
  • Bundled ClickHouse
  • Event debugger
  • Self-hosting
  • Custom domains

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.

Jitsu

  • A team paying five figures a year to a customer data platform when all it actually does is send events to Snowflakenot Together AI
  • An engineering group that needs event collection running inside its own VPC for data residency or security review reasonsnot Together AI
  • A product analytics setup that wants raw events in the warehouse as the source of truth rather than trapped in a vendor toolnot Together AI
  • A startup that needs first-party event collection on its own domain to reduce loss from tracker blocking without paying CDP pricesnot Together AI

Together AI

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

Where each one falls short

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

Jitsu

  • Jitsu is a pipeline, not a customer data platform, so identity resolution, audience building and reverse ETL are absent and a marketing team expecting Segment parity will be disappointed.
  • Connector sync frequency is deliberately tiered, with the free plan limited to manual runs and one daily sync, so anything approaching operational freshness requires the paid plan or self-hosting.
  • Self-hosting means you own the reliability of a system that drops data silently when misconfigured, and event loss is uniquely hard to notice because nothing errors, the numbers are just quietly lower.
  • The connector catalogue is far smaller than Fivetran or Airbyte, so if your requirement is pulling from many SaaS sources rather than pushing events, Jitsu is the wrong half of the problem.
  • It is a small company with a small commercial team, so enterprise procurement processes around security review, contractual SLAs and support escalation take longer than with an incumbent vendor.

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

Jitsu

Free
  • Open SourceFree
    • MIT licence
    • Self-host on any cloud
    • No usage limits
  • Cloud FreeFree
    • Unlimited captured events
    • 200,000 active events per month
    • Manual connector runs only
  • Business$99/month
    • 2,000,000 active events per month
    • $40 per additional million events
    • Hourly connector sync frequency
  • Enterprise$undefined/year
    • Custom event volume
    • One minute sync frequency
    • Unlimited active syncs

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 Jitsu if

  • You need event collection.
  • You want to start without paying.
  • You work on Web, Linux, Docker, Kubernetes, iOS, Android.
  • You also want warehouse destinations.

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.

Questions people ask

Is Jitsu or Together AI better?
Neither clearly leads. Jitsu 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, Jitsu or Together AI?
Jitsu starts at Free and Together AI at Free.
Does Jitsu or Together AI run on more platforms?
Jitsu runs on Web, Linux, Docker, Kubernetes, iOS, Android. Together AI runs on Api, Cloud.
Can I use Jitsu for free?
Both have a free tier, so you can try either at no cost before committing.
What is Jitsu best used for?
Jitsu is most often used for a team paying five figures a year to a customer data platform when all it actually does is send events to snowflake, an engineering group that needs event collection running inside its own vpc for data residency or security review reasons, a product analytics setup that wants raw events in the warehouse as the source of truth rather than trapped in a vendor tool, a startup that needs first-party event collection on its own domain to reduce loss from tracker blocking without paying cdp prices. Of those, a team paying five figures a year to a customer data platform when all it actually does is send events to snowflake and an engineering group that needs event collection running inside its own vpc for data residency or security review reasons are not what Together AI is typically brought in for.
What can Jitsu do that Together AI cannot?
Jitsu covers Event collection, Warehouse destinations, Connector syncs, Transformations. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.

Answered from the vendors’ own pages

Jitsu: Is Jitsu the same as Jitsi?

No. Jitsu is an open source event data pipeline. Jitsi is an unrelated video conferencing project.

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
Jitsu: Can I self-host for free?

Yes. The project is MIT licensed with no usage limits when self-hosted.

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
Jitsu: How does the cost compare with Segment?

The Business plan is 99 US dollars a month for two million active events, where a per-tracked-user CDP typically costs orders of magnitude more at comparable volume.

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
Jitsu: Does Jitsu do identity resolution?

No. It transports and transforms events; identity stitching and audiences are not part of the product.

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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