B2B SaaS Provider · vs · B2B SaaS Provider

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Databricks vs Dataiku

Structured technology and market comparison · 2026

Direct Feature Comparison

Databricks · vs · Dataiku
Primary Market / Role
DatabricksB2B SaaS Provider
DataikuB2B SaaS Provider
Platform Focus
Databricks

Enterprise lakehouse platform for data, analytics and AI.

Dataiku

Enterprise AI platform for governed analytics, machine learning and AI agents.

Company Size
Databricks>5,000 employees
Dataiku1,001–5,000 employees
Headquarters
DatabricksUS
DataikuFR
Year Founded
Databricks2013
Dataiku2013

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Comparison Analysis

What is the main difference between Databricks and Dataiku?

When comparing Databricks and Dataiku, both platforms operate within the Cloud Data Warehouse / Data Lake, B2B SaaS Provider, and Large Language Models (LLM) & AI ecosystem. Databricks is positioned as Enterprise lakehouse platform for data, analytics and AI, whereas Dataiku focuses on Enterprise AI platform for governed analytics, machine learning and AI agents. Decision-makers evaluate both solutions when orchestrating their commercial monetization and technology stack.

What are the top alternatives to Databricks and Dataiku?

When evaluating Databricks and Dataiku, enterprise buyers also consider other platforms in Cloud Data Warehouse / Data Lake, B2B SaaS Provider, and Large Language Models (LLM) & AI. You can discover the full competitive landscape and evaluate other alternatives by viewing their respective footprint profiles on Polaris7.

Market Signals

Recent Market Signals & Activity: Databricks vs Dataiku

Documented market movements, strategic partnerships, product releases, and regulatory developments mapped across Polaris7.

DA

Databricks

Recent Signals

  • ·https://martechseries.com/feed/Platform

    Blackbaud Unveils Platform for Good, Unified Social Impact OS

    Blackbaud, a leading provider of AI-powered solutions for the social impact sector, announced the launch of Platform for Good™, described as the industry's first unified operating system. This platform integrates data, AI, and workflows into a single connected pipeline. It comprises three layers: the Data Core, Intelligence Layer, and Action Layer. The announcement includes several innovations: Lantern, a domain-specific language model for fundraising intelligence developed with Databricks; an expansion of Agents for Good™, including the Development Agent and new Data Health Agent; the rebuilt Raiser's Edge NXT® as a native cloud, AI-powered fundraising CRM; the introduction of Blackbaud Marketing™; new financial workflows with an Accounts Payable Agent, Payment Assistant™ (with BILL), and Deposit Connect™; and the Higher Education Connected Campus solution developed with Student First. These innovations were unveiled at Blackbaud's annual customer conference, bbcon, and are designed to help organizations identify growth opportunities and expand capacity.

    • Blackbaud announced Platform for Good™, a unified operating system for social impact, at its bbcon conference.
    • The platform comprises a Data Core, an Intelligence Layer powered by the Social Impact Signal Graph, and an Action Layer with AI assistants and agents.
    • Blackbaud introduced Lantern, a domain-specific language model for fundraising intelligence, developed with Databricks.
  • ·https://martechseries.com/feed/Partnership

    Evalueserve Partners with Databricks to Accelerate Data and AI

    Evalueserve, a global domain-led AI services firm, has announced a partnership with Databricks, the Data and AI company, to help enterprises modernize their data environments, strengthen data governance, and build trusted foundations for scaling analytics and AI. The collaboration combines the Databricks Data + AI Platform with Evalueserve's data engineering, AI, and domain expertise. Initial solutions include a Private Credit Intelligence Accelerator, a Data Quality Framework, and Automodel Generators. Evalueserve aims to deliver repeatable solutions that make complex enterprise data more usable and trusted, enabling organizations to accelerate AI adoption at scale.

    • Evalueserve announced a partnership with Databricks.
    • The partnership aims to help enterprises modernize data environments and scale AI.
    • Initial solutions include Private Credit Intelligence Accelerator, Data Quality Framework, and Automodel Generators.
  • ·techcrunchM&A

    Databricks Acquires Row Zero, Plans More Startup Acquisitions

    Databricks announced the acquisition of Row Zero, a startup offering cloud-based spreadsheets that can handle over a million live rows. The acquisition was driven by Databricks' finance team, who used Row Zero with Databricks' AI agent Genie for natural-language data queries. By integrating Row Zero, Databricks aims to provide a secure, spreadsheet-based interface for interacting with enterprise data, combining BI, AI agents, and familiar spreadsheet tools. Financial terms were not disclosed. Row Zero had raised $10 million in May 2025 at a $40 million valuation. Databricks, with $7 billion in annualized revenue, has been actively acquiring startups in 2026, including Quotient AI, SiftD.ai, Panther, and Electric, and plans more acquisitions. CEO Ali Ghodsi emphasized the strategic importance of spreadsheets as a user-friendly data interface.

    • Databricks acquired Row Zero, a cloud spreadsheet startup.
    • Row Zero was founded by former AWS and Tableau engineers.
    • Row Zero raised $10 million in May 2025 at a $40 million valuation.
DA

Dataiku

Recent Signals

Compare their exact ecosystem overlaps.

Explore all deep relationships in Polaris7. Discover exactly which mutual clients, integrated technologies, and overlapping partners Databricks and Dataiku share across the market ecosystem.