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Machine Learning · alternatives

Alternatives to Dataiku

21 machine learning tools sit alongside Dataiku in this directory. Below is what separates each from Dataiku on the figures we hold, price, model, tier count and rating, and a direct comparison for every one.

Alternatives listed
21
With a free tier
17
Cheaper to start
0
Dataiku starts at
Free

Why people look past Dataiku

Nothing on the record flags a reason to move. Dataiku has a free tier, and starts at Free against a category median of $17/month. People still switch over fit and workflow, and those are not things a catalogue entry can measure, which is what the comparisons below are for.

What each alternative does differently

Ordered by the aggregated rating on each catalogue entry. Differences are drawn from price, pricing model, tier count and rating, the fields the category listing carries. For a feature-level difference, follow the head-to-head link on each card: those pages read both full records.

Free, then $0.04/hour

Build, train, and deploy machine learning models at scale

  • Starts $0.04 a hour dearer, at $0.04/hour.

Unified ML platform to build, deploy, and scale AI models

  • No free tier, where Dataiku has one.

Microsoft's managed platform for training, tracking and deploying models on Azure

  • Sold on a usage-based model rather than freemium.

Enterprise AI platform for automated machine learning

  • No free tier, where Dataiku has one.
  • Sold on a subscription model rather than freemium.

Open-source MLOps platform for experiment tracking and orchestration

  • Sold on a Open-source self-hosted, with paid hosted and enterprise tiers model rather than freemium.
  • 1 tier to Dataiku's 2.
Free, then €29/month

LLM engineering platform for testing and evaluating AI agents in production

  • Starts $29 a month dearer, at €29/month.
  • Sold on a Tiered subscription with usage-based overage charges model rather than freemium.
  • 3 tiers to Dataiku's 2.

Every Dataiku alternative at a glance

A dash means the catalogue entry carries no figure, not that the answer is nothing.

Machine Learning alternatives to Dataiku
ToolEntry priceModelTiersHead to head
Dataiku (this page)FreeFreemium2
AWS SageMakerBuild, train, and deploy machine learning models at scaleFree, then $0.04/hour--vs Dataiku
Google Vertex AIUnified ML platform to build, deploy, and scale AI modelsOn request--vs Dataiku
Azure Machine LearningEnterprise-grade machine learning serviceFreeUsage-based2vs Dataiku
DataRobotEnterprise AI platform for automated machine learningFreeSubscription2vs Dataiku
ClearMLFreeOpen-source self-hosted, with paid hosted and enterprise tiers1vs Dataiku
LangwatchFree, then €29/monthTiered subscription with usage-based overage charges3vs Dataiku
HaystackFreeOpen-source with optional paid enterprise support2vs Dataiku
Semantic KernelFreeOpen source, no pricing1vs Dataiku
H2O.aiFreeFreemium2vs Dataiku
DaskFreeOpen-source1vs Dataiku
IBM SPSSFree, then $99/monthSubscription2vs Dataiku
JMPFreeSubscription2vs Dataiku
AnacondaFree, then $15/month-3vs Dataiku
BentoMLFreeFreemium2vs Dataiku
Comet MLFree, then $19/monthFreemium4vs Dataiku
Hugging FaceFree--vs Dataiku
BigQuery MLFreeUsage-based2vs Dataiku
Domino Data LabFreeSubscription2vs Dataiku
DVCFreeOpen-source2vs Dataiku
Fal AI$1.89/hourUsage-based2vs Dataiku
GroqOn requestQuote-vs Dataiku

Ratings are aggregated from third-party sources and imported with each catalogue entry; Softwr hosts no reviews of these products. How each figure is used is set out on the Dataiku badges page.

Cheaper ways to solve the same problem

Free to start (17)

These publish a tier that costs nothing, so they can be evaluated before any money changes hands.

What you would be giving up

Dataiku is most often brought in for organisations where analysts and data scientists must collaborate on the same pipeline rather than exchanging extracts, regulated model risk environments needing documented lineage, sign-off and a record of how a production model was produced, pushing heavy transformations down into a cloud warehouse while keeping the pipeline definition in one reviewable place, large enterprises replacing a sprawl of spreadsheets and unmanaged scripts with something a governance function will accept. Anything replacing it has to cover the ones you actually depend on, and a cheaper tool that misses one of them is not cheaper.

Two things this page cannot settle. It compares on price, model, tier count and rating, because those are the fields the category listing carries, feature-level differences need both full records, which is what the head-to-head pages load. And the ratings are third-party aggregates imported with each entry rather than reviews written here, so a 0.2 difference between two tools is noise rather than a finding.

If Dataiku is broadly right and the question is cost, the Dataiku pricing breakdown covers every tier and what each one adds. If you want the whole field rather than a shortlist, the Machine Learning category lists everything the directory holds, and best machine learning tools ranks them.

Dataiku runs on linux, mac, windows, web. Platform coverage is not carried on the category listing for the alternatives, so it is one more thing to check on each head-to-head page rather than here.

Questions about Dataiku alternatives

What are the main alternatives to Dataiku?
21 other machine learning tools are listed in this directory, led by AWS SageMaker, Google Vertex AI, Azure Machine Learning, DataRobot. They are ordered by the aggregated rating on each catalogue entry, not by any Softwr ranking.
What is the best free alternative to Dataiku?
17 of the alternatives listed here can be used without paying: AWS SageMaker, Azure Machine Learning, ClearML, Langwatch, Haystack.
Is there a reason to switch away from Dataiku?
Nothing in the data flags one. Dataiku has a free tier, and starts at Free against a category median of $17/month. Fit and workflow are the usual reasons to move, and those are not things this record can measure.
What would I give up by switching from Dataiku?
Dataiku is most often brought in for organisations where analysts and data scientists must collaborate on the same pipeline rather than exchanging extracts, regulated model risk environments needing documented lineage, sign-off and a record of how a production model was produced, pushing heavy transformations down into a cloud warehouse while keeping the pipeline definition in one reviewable place, large enterprises replacing a sprawl of spreadsheets and unmanaged scripts with something a governance function will accept. Anything you replace it with has to cover the ones you actually rely on, the side-by-side comparisons linked from each alternative below put the two feature records against each other.
Is there an open-source alternative to Dataiku?
Dask, DVC are recorded with an open-source licence model.
How were these Dataiku alternatives chosen?
They are the tools filed in the same category, Machine Learning, ordered by the aggregated rating on each entry. There is no editorial shortlist, and nothing on this page is paid: no sponsored placement runs on alternatives pages and the order cannot be bought. Softwr has not used these products.
Where can I compare Dataiku against one of these directly?
Every alternative below has a side-by-side page against Dataiku covering price, platforms, features and what each one is used for. Those pages read the full record for both products rather than the summary shown here.
Does this list cover every machine learning tool?
No. It covers what this directory holds in the Machine Learning category, 21 tools beside Dataiku. The category page lists the rest of the catalogue as it grows.

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