Software · head to head
Cohere vs Dataiku
The short version
- Each has a real cost: Cohere aPI-only service with no self-hosted options for most users; Dataiku no pricing is published at any tier, and the plans page carries no figures at all
- They diverge on capability: Cohere covers Generate, Dataiku covers Visual data prep.
Where they differ
Only the attributes on which Cohere and Dataiku actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).
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 Cohere
- Generate
- Embed
- Rerank
- Classify
- REST API
- SDKs
- Cloud deployment
- Api support
Only in Dataiku
- Visual data prep
- AutoML
- MLOps
- Collaboration
- Governence
- Python
- R
- Spark
What people use each for
The jobs each tool is most often brought in to do.
Cohere
- ai tools managementnot Dataiku
- Workflow automationnot Dataiku
- Reportingnot Dataiku
Dataiku
- Building and deploying data science and machine learning pipelinesnot Cohere
- Giving analysts and data scientists a shared visual and code environmentnot Cohere
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Cohere
- API-only service with no self-hosted options for most users
- Trial tier severely limited at 1,000 calls per month
- Smaller context window compared to some competing APIs
- Less emphasis on safety and alignment compared to competing APIs
Dataiku
- No pricing is published at any tier, and the plans page carries no figures at all
- User, row and compute limits are not stated, so nothing about scale can be assessed before contacting sales
- Access begins with a demo request or a trial rather than a self serve signup
Pricing, plan by plan
Cohere
Free- Free TrialFree
- Rate limited
- Evaluation
- Production$0.4/per-million-tokens
- Full access
- SLA
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
Which should you pick?
Choose Cohere if
- You need generate.
- You want to start without paying.
- You work on Api, Cloud.
- You also want embed.
Choose Dataiku if
- You need visual data prep.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want automl.
Questions people ask
- Is Cohere or Dataiku better?
- Neither clearly leads. Cohere starts at Free and Dataiku at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Cohere or Dataiku?
- Cohere starts at Free and Dataiku at Free.
- Does Cohere or Dataiku run on more platforms?
- Cohere runs on Api, Cloud. Dataiku runs on Linux, Mac, Windows, Web.
- Can I use Cohere for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Cohere best used for?
- Cohere is most often used for ai tools management, workflow automation, reporting. Of those, ai tools management and workflow automation are not what Dataiku is typically brought in for.
- What can Cohere do that Dataiku cannot?
- Cohere covers Generate, Embed, Rerank, Classify. Dataiku covers Visual data prep, AutoML, MLOps, Collaboration.
Answered from the vendors’ own pages
Cohere: Does Cohere offer a free tier?
Yes. Cohere provides Trial API keys that allow 1,000 free API calls per month across all models and endpoints. Trial keys are rate-limited to 20 requests per minute for Chat endpoints and 5-10 requests per minute for other endpoints, and cannot be used for production or commercial purposes.
SourceCohere: What is the cost structure for production use?
Cohere uses pay-as-you-go pricing based on tokens consumed. Costs vary by model: Command costs from 0.15 to 2.50 USD per 1M input tokens, with output tokens priced higher. Embed models cost 0.10 USD per 1M input tokens. Production keys have monthly billing with invoices at month-end or when charges reach 250 USD.
SourceCohere: Can I self-host Cohere models?
No. Cohere operates as an API-only platform. However, enterprise customers can arrange dedicated or managed deployments through the Model Vault platform starting at 4.00 USD per hour with custom pricing for dedicated instances.
SourceCohere: What are the main differences between Cohere and Claude API?
Cohere excels in cost-effective NLP applications and retrieval-augmented generation (RAG) capabilities. Claude API emphasizes reasoning and safety with Constitutional AI training. Cohere's Command R+ offers similar performance to GPT-4 at 40-50 percent lower cost, while Claude focuses on factual accuracy and transparency.
SourceRelated pages
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