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Dataiku VS PhantomStat

Compare Dataiku VS PhantomStat and see what are their differences

Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

PhantomStat logo PhantomStat

Pro sports analytics for Football, MMA, MLB, NBA and Tennis โ€” xG, fatigue curves, and matchup tools most sites don't show.
  • Dataiku Landing page
    Landing page //
    2023-08-17
  • PhantomStat PhantomStat homepage โ€” Football, MMA, MLB, NBA, Tennis
    PhantomStat homepage โ€” Football, MMA, MLB, NBA, Tennis //
    2026-07-21
  • PhantomStat Manchester City team analytics page โ€” free preview (xG, form, cards)
    Manchester City team analytics page โ€” free preview (xG, form, cards) //
    2026-07-31
  • PhantomStat Jon Jones UFC fighter profile โ€” full fatigue curve
    Jon Jones UFC fighter profile โ€” full fatigue curve //
    2026-07-31
  • PhantomStat Carlos Alcaraz ATP tennis player analytics page
    Carlos Alcaraz ATP tennis player analytics page //
    2026-07-31
  • PhantomStat LeBron James NBA player page โ€” Form Explorer (PTS threshold view)
    LeBron James NBA player page โ€” Form Explorer (PTS threshold view) //
    2026-07-31
  • PhantomStat Jonathan Osorio โ€” soccer player Performance Explorer (Shots On Target threshold, match-by-match)
    Jonathan Osorio โ€” soccer player Performance Explorer (Shots On Target threshold, match-by-match) //
    2026-07-31
  • PhantomStat St. Louis Cardinals MLB team page โ€” Game Total threshold explorer, run distribution chart
    St. Louis Cardinals MLB team page โ€” Game Total threshold explorer, run distribution chart //
    2026-07-31
  • PhantomStat LeBron James NBA player page โ€” Prop Line Explorer, Points threshold histogram
    LeBron James NBA player page โ€” Prop Line Explorer, Points threshold histogram //
    2026-07-31
  • PhantomStat Jon Jones UFC fighter profile โ€” full stat grid + round-by-round Fatigue Curve (Pro)
    Jon Jones UFC fighter profile โ€” full stat grid + round-by-round Fatigue Curve (Pro) //
    2026-07-31
  • PhantomStat Carlos Alcaraz ATP tennis player page โ€” full career stat grid (serve/return, aces, tiebreak %)
    Carlos Alcaraz ATP tennis player page โ€” full career stat grid (serve/return, aces, tiebreak %) //
    2026-07-31

PhantomStat is a sports analytics platform built for the gap between casual score sites and paywalled pro tools, covering five sports: football, MMA/UFC, MLB, NBA and tennis.

Football โ€” free preview pages for 1,230+ teams and 1,960+ players, with modules for Attack vs Defense (xG/shots/goals), Form Index & Rebound, Goal Geolocation Map, Cards Intelligence, Corner Mastery, Top Scorers Cross-Ref, Referee Tendency, Goalkeeper Weakness and Penalty Shot Tracker.

MMA/UFC โ€” 465+ fighters, 180+ analyzed fights. Free preview shows per-minute striking/grappling rates, KO Power and Cardio scores, a Performance Explorer (set any stat line, see how often the fighter clears it) and Opponent Level context. Pro unlocks the round-by-round Fatigue Curve and Strike Targets & Control breakdown.

MLB โ€” eight modules: Plate Discipline Lab, Statcast Quality Hub, Performance Spectrum, Situational Splits Matrix, Today's Matchup, Pitcher Arsenal, WAR Decomposition and a Similarity Engine.

NBA โ€” 30 teams, 500+ players, live matchups. Form Explorer across PTS/REB/AST/3PM/PRA, Opponent Defense, Rest/Back-to-Back splits, a Filter Engine and a multi-line threshold view.

Tennis โ€” career averages (win rate, holds/breaks serve, serve/return splits, aces, unforced errors, tiebreak% and deciding-set%) on every ATP player page.

Browsing is free with no signup. A free account adds saved watchlists and personalized dashboards; Pro unlocks the advanced modules sport-wide.

Dataiku

Website
dataiku.com
Pricing URL
Official Dataiku Pricing
$ Details
-
Platforms
-
Release Date
2013 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Clรฉment Stenac
Employees
500 - 999
Edit details

PhantomStat

Website
phantomstat.com
Pricing URL
-
$ Details
freemium $29.99 / Monthly (Pro)
Platforms
Web
Release Date
2026 June
Startup details
Country
France
State
Paris
City
paris
Employees
1 - 9
Edit details

Dataiku features and specs

  • User-Friendly Interface
    Dataiku offers an intuitive and easy-to-navigate visual interface that allows users of all technical backgrounds to create, manage, and deploy data projects without needing extensive coding knowledge.
  • Collaborative Environment
    The platform supports collaborative work, enabling data scientists, engineers, and analysts to work together on the same projects seamlessly, sharing insights and models easily.
  • End-to-End Workflow
    Dataiku provides tools that cover the entire data pipeline, from data preparation and cleaning to model building, deployment, and monitoring, making it a comprehensive solution for data teams.
  • Integrations and Extensibility
    The platform integrates with many data storage systems, machine learning libraries, and cloud services, allowing users to leverage existing tools and infrastructure.
  • Automation Capabilities
    Dataiku offers automation features such as scheduling, automation scenarios, and machine learning model monitoring, which can significantly enhance productivity and efficiency.
  • Rich Documentation and Support
    Dataiku provides extensive documentation, tutorials, and a strong support community to help users navigate the platform and troubleshoot issues.

Possible disadvantages of Dataiku

  • Pricing
    Dataiku can be expensive, particularly for small businesses and startups. The cost may be a barrier to entry for organizations with limited budgets.
  • Resource Intensive
    The platform can be resource-hungry, requiring significant computing power, which may necessitate additional investments in hardware or cloud services.
  • Learning Curve for Advanced Features
    Although the basic interface is user-friendly, mastering advanced features and customizations can require a steep learning curve and significant training.
  • Limited Offline Capabilities
    Dataiku relies heavily on cloud services for many of its functionalities. This dependence might be restrictive in environments with limited or no internet access.
  • Custom Model Flexibility
    While Dataiku supports many machine learning frameworks, the process of integrating custom or niche models can be cumbersome compared to using those frameworks directly.
  • Dependency on Ecosystem
    The seamless experience of Dataiku often relies on the broader cloud and data ecosystem. Changes or issues in integrated services can impact its performance and reliability.

PhantomStat features and specs

  • Soccer analytics
    xG, PSxGA, opponent shots on target and sliding form-window filters (last-5/last-10/season) on every soccer player and team page
  • MMA fatigue curves
    Round-by-round significant-strike fatigue curves, strike-target breakdown, and finish-rate profile for every active UFC fighter
  • MLB, NBA & tennis splits
    First-inning batter splits and daily matchup pages for MLB, opponent-defense splits for NBA, and serve/return breakdowns for tennis

Dataiku videos

+ Add

AutoML with Dataiku: And End-to-End Demo

More videos:

  • Review - Dataiku: For Everyone in the Data-Powered Organization
  • Tutorial - Dataiku DSS Tutorial 101: Your very first steps

PhantomStat videos

No PhantomStat videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Dataiku and PhantomStat)

Dataiku

PhantomStat

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Betting
0 0%
Betting
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Data Analytics
0 0%
Data Analytics
100% 100

Questions & Answers

As answered by people managing Dataiku and PhantomStat.

What's the story behind your product?

PhantomStat's answer:

PhantomStat started from a simple gap: casual sports sites stop at the final score and a season average, while the analytics that go deeper are built for professionals and locked behind expensive tools. The goal was to put real per-entity detail โ€” xG and PSxGA for soccer, round-by-round fatigue curves for MMA, matchup splits for MLB, opponent-defense splits for NBA, serve/return breakdowns for tennis โ€” in front of any fan for free, with a paid Pro tier reserved for advanced filtering rather than for basic access to the numbers.

How would you describe the primary audience of your product?

PhantomStat's answer:

Sports fans who want more than a final score, and fantasy/simulation players who need the underlying splits rather than a season average. That covers casual fans checking a player's recent form, fantasy managers comparing matchup histograms before setting a lineup, and anyone who follows football, MMA, MLB, NBA or tennis closely enough to want per-round, per-game or per-matchup detail instead of a single headline stat.

What makes your product unique?

PhantomStat's answer:

PhantomStat covers five sports in one platform โ€” football, MMA, MLB, NBA and tennis โ€” with dedicated pages per player, team, fighter and matchup. Instead of just headline numbers, each page surfaces the underlying breakdown: xG and PSxGA for football, per-round fatigue curves for MMA, a Prop Line Explorer with histograms for MLB, form and opponent-defense splits for NBA, and serve/return breakdowns for tennis. Browsing is free with no signup required; a paid Pro tier ($29.99 / โ‚ฌ29.99 / ยฃ24.99 per month) unlocks advanced filtering and the full historical archive.

Why should a person choose your product over its competitors?

PhantomStat's answer:

Most single-sport score sites stop at the headline number, and most deep-analytics tools paywall everything before you can see anything. PhantomStat lets you browse every player, team, fighter and matchup page with no signup required, and covers five sports in one account (football, MMA, MLB, NBA, tennis) instead of forcing you to juggle a separate tool per sport. Pages are built for search too โ€” SEO-friendly URLs mean a specific player or matchup is usually one search away.

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Dataiku and PhantomStat

Dataiku Reviews

15 data science tools to consider using in 2021
Some platforms are also available in free open source or community editions -- examples include Dataiku and H2O. Knime combines an open source analytics platform with a commercial Knime Server software package that supports team-based collaboration and workflow automation, deployment and management.
Source: searchbusinessanalytics.techtarget.com
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: Dataiku offers an advanced analytics solution that allows organizations to create their own data tools. The companyโ€™s flagship product features a team-based user interface for both data analysts and data scientists. Dataikuโ€™s unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch....
Source: solutionsreview.com

PhantomStat Reviews

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What are some alternatives?

When comparing Dataiku and PhantomStat, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

SofaScore - Football live scores on SofaScore livescore from 600+ soccer leagues. Follow live results, statistics, league tables, fixtures and videos from Champions League.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

NumPy - NumPy is the fundamental package for scientific computing with Python

OpenCV - OpenCV is the world's biggest computer vision library

Exploratory - Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.

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