AppBreakup

Free Dataiku alternatives: 3 apps ranked by verified data

Facts checked Nov 8, 2026AppBreakup editorialHow we rank

3 of the 7 Dataiku alternatives we track can be used for free (free, open source, or with a free plan). OpenRefine, Hex and Jupyter Notebook rank highest, with facts last verified Nov 8, 2026.

Quick comparison

#AppPricingVerified priceOpen sourcePlatformsVerified factsScore
1OpenRefine logoOpenRefineOpen source—YesWindows, macOS, Linux5 of 559.4
2Hex logoHexFree plan + paid$36 per editor/month (Professional)NoWeb5 of 552.6
3Jupyter Notebook logoJupyter NotebookOpen source—YesWeb, Windows, macOS +25 of 550.0
  1. OpenRefine logo

    1. OpenRefineTop pick

    Best for: Researchers, librarians and journalists cleaning messy spreadsheets without writing code

    Open sourceWindows, macOS, Linux

    59.4

    score / 100

    Why switch from Dataiku

    Free and open source for cleaning messy data on your own machine, without the ML platform.

    Pros

    • Clustering merges inconsistent spellings in a few clicks
    • Full undo history that can be replayed on new data
    • Data stays on your own machine
    • Reconciliation against Wikidata and other services

    Cons

    • Struggles with very large datasets that don't fit in memory
    • No built-in scheduling or automated pipelines
    • Advanced transforms need its own GREL expression language
    How this score is calculated
    Editorial fit ×0.369
    Reviews ×0.363
    Clicks (90 days) ×0.150
    Freshness ×0.15100
    Votes ×0.150

    0 counted reviews, 0 up and 0 down votes. Full formula

    Is OpenRefine a good Dataiku alternative?

    Verified facts

    5 of 5 verified
    License
    BSD-3-Clause
    Checked Oct 29, 2026github.com(opens source in a new tab)
    Platforms
    Windows, macOS, Linux
    Checked Nov 8, 2026openrefine.org(opens source in a new tab)
    Latest version
    3.10.0
    Checked Nov 8, 2026openrefine.org(opens source in a new tab)
    Local processing
    Yes
    Checked Nov 8, 2026openrefine.org(opens source in a new tab)
    Wikidata upload
    Yes
    Checked Nov 8, 2026openrefine.org(opens source in a new tab)
  2. Hex logo

    2. Hex

    Best for: Analytics teams on a cloud warehouse who want notebooks that become shareable data apps

    Free plan + paidWeb

    52.6

    score / 100

    Why switch from Dataiku

    Lighter, notebook-style collaborative analytics with SQL and Python and simpler pricing.

    Pros

    • Notebooks publish as interactive apps for non-technical colleagues
    • Works with dbt, Airflow and Dagster
    • Free trial of the Team plan needs no payment card

    Cons

    • Community plan is limited to small compute and light AI use
    • Per-editor pricing is high compared with general notebook tools
    • Larger machines and GPUs are billed per minute on top of the plan
    How this score is calculated
    Editorial fit ×0.346
    Reviews ×0.363
    Clicks (90 days) ×0.150
    Freshness ×0.15100
    Votes ×0.150

    0 counted reviews, 0 up and 0 down votes. Full formula

    Is Hex a good Dataiku alternative?

    Verified facts

    5 of 5 verified
    Free plan
    Yes (Community)
    Checked Nov 8, 2026hex.tech(opens source in a new tab)
    Starting price
    $36 per editor/month (Professional)
    Checked Nov 8, 2026hex.tech(opens source in a new tab)
    Free trial
    14 days (Team), no card
    Checked Nov 8, 2026hex.tech(opens source in a new tab)
    Integrations
    Airflow, Dagster, dbt
    Checked Nov 8, 2026hex.tech(opens source in a new tab)
    Team plan
    $75 per editor/month
    Checked Nov 8, 2026hex.tech(opens source in a new tab)
  3. Jupyter Notebook logo

    3. Jupyter Notebook

    Best for: Students, researchers and data analysts who want to explore data step by step in a shareable document

    Open sourceSelf-hostableWeb, Windows, macOS, Linux, Self-hosted

    50.0

    score / 100

    Why switch from Dataiku

    Free open-source notebooks for data prep and modelling in Python, without a platform licence.

    Pros

    • Free and open source with no paid tier
    • Supports many languages through separate kernels
    • Notebooks render on GitHub and are easy to share
    • Can be run for a whole class or team with JupyterHub

    Cons

    • Needs a local Python setup or a server; no official desktop installer
    • Out-of-order cell execution makes results easy to break
    • Old v6 extensions don't work in Notebook 7
    • Weak fit for large codebases, refactoring and debugging
    How this score is calculated
    Editorial fit ×0.338
    Reviews ×0.363
    Clicks (90 days) ×0.150
    Freshness ×0.15100
    Votes ×0.150

    0 counted reviews, 0 up and 0 down votes. Full formula

    Is Jupyter Notebook a good Dataiku alternative?

    Verified facts

    5 of 5 verified
    License
    BSD-3-Clause
    Checked Nov 1, 2026github.com(opens source in a new tab)
    Languages
    40+, incl. Python, R, Julia
    Checked Nov 8, 2026jupyter.org(opens source in a new tab)
    Install
    pip install notebook
    Checked Nov 8, 2026jupyter.org(opens source in a new tab)
    Origin
    IPython project, 2014
    Checked Nov 8, 2026jupyter.org(opens source in a new tab)
    Notebook format
    Open, JSON-based
    Checked Nov 8, 2026jupyter.org(opens source in a new tab)