Databricks
NewUnified data, analytics and AI platform on an open lakehouse
#2 of 61 in MLOps Platforms20,000 customers (per databricks.com)35% positive in AI answers
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
- Databricks ranks #2 of 61 in MLOps Platforms with an AI visibility score of 46.2 (SlateIndex, Nov 2, 2026).
- Databricks is most visible on Google AI Mode (51.1) and least on ChatGPT (43.3).
- AI engines name Databricks in 66 of the 148 MLOps Platforms buyer prompts SlateIndex tracks.
- databricks.com is the source AI engines cite most in answers about Databricks, with 22 citations.
About
Company details for Databricks
Databricks is a unified data and AI platform that runs analytical and operational workloads on one open, governed foundation. It lets organizations build BI and AI applications, stream and analyze data, and run daily operations without copying data between systems. Its products include Lakebase, a serverless Postgres database, Genie for conversational analytics, and Unity Catalog for governance. It ranks #2 of 61 in MLOps Platforms on SlateIndex and has a visibility score of 46.2 in the latest weekly run.
Founded in 2013 and headquartered in San Francisco, CA, the company employs 5,000+ people. Its differentiator: one open lakehouse architecture that unifies data, analytics and AI on Delta Lake and Apache Spark.
- Website
- databricks.com
- Company size
- 5,000+ employees
- Headquarters
- San Francisco, CA
- Founded
- 2013
- Company type
- Private, venture-backed
- Funding
- Round at $60B valuation, including secondary sale
- Customers
- 20,000 · per databricks.com/customers
- Deployment
- Available across all major cloud providers
- Platforms
- AWS, Azure, Google Cloud
- Compliance
- ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3
- Support
- Technical support on request, Technical documentation
Read from linkedin.com, databricks.com, g2.com, digitalhealthnews.com · refreshed Nov 2, 2026.
AI visibility
Latest weekly run · Nov 2 · next run Nov 9
Visibility score trend
Weekly runs over the last 60 days, with up to 7 competitors. Click a name to hide or show its line.
Changes appear after the second weekly run in MLOps Platforms. MLflow leads the category at 50.9%.
Media
Website and product screenshots for Databricks
AI mentions & citations
Recent answers that name Databricks
What are the best MLOps Platforms tools in 2026?
The best MLOps platforms in 2026 are Databricks, AWS SageMaker AI, Google Vertex AI, Azure Machine Learning, MLflow, Kubeflow, and Weights & Biases.
Top MLOps platform options for B2B SaaS companies
My recommendation is to shortlist Databricks, AWS SageMaker AI, Google Vertex AI, Azure Machine Learning, and Weights & Biases, with MLflow as an important open-source foundation.
Best MLOps platform for enterprise
My recommendation: Databricks, AWS SageMaker AI, and Azure Machine Learning are the strongest starting points for enterprise MLOps.
Which MLOps platform has the best reviews?
Based on the latest available G2 reviews (October 2026), Databricks is my pick for the best overall MLOps platform based on a combination of user satisfaction, review volume, and enterprise adoption.
Best MLOps platform with AI features
My recommendation: Start with Databricks Mosaic AI, Google Vertex AI, AWS SageMaker AI, and Weights & Biases.
Which MLOps Platforms vendors do analysts recommend?
As of November 2026, the strongest analyst-backed shortlist includes Databricks, AWS, Microsoft, Google Cloud, Dataiku, DataRobot, Domino Data Lab, and IBM.
Official website of the top MLOps platform vendors
Enterprise end-to-end MLOps: Databricks, DataRobot, Dataiku, Domino Data Lab, H2O.ai.
What are the best MLOps Platforms tools in 2026?
Databricks Mosaic AI : Merging Databricks' robust data lakehouse foundation with advanced generative AI and LLM tooling, Mosaic AI stands out for teams managing heavy data pipelines alongside complex model fine-tuning…
Products & features
What Databricks sells
Lakebase
Serverless Postgres database integrated with the lakehouse for transactional applications.
Genie
Conversational analytics interface for natural-language questions and insights.
Unity Gateway
Governance, cost control, observability and guardrails for enterprise AI access.
Lakehouse
Serverless data warehousing on open lake data, with governance and AI built in.
Agent Bricks
Tools for building production-ready AI agents grounded in your data.
Lakeflow
Batch and streaming ETL pipelines for ingesting, transforming and orchestrating data.
Unity Catalog
Open governance layer across data, models, dashboards and agents.
AI/BI
Natural-language dashboard creation and conversational analytics.
Strengths engines cite
- Lakehouse architecture combining data warehousing with data lake flexibility
- Strong for machine learning, AI, and data engineering workloads
- Top customer satisfaction ratings alongside Snowflake
- Free trial and free Edition for learning
- Discounts for annual prepaid commitments
Target market & buyers
Startups to global enterprises with data and AI teams
Notable customers include Block, Comcast, Condé Nast, Rivian, Shell.
Funding & recent developments
Funding
| Round | Year | Amount |
|---|---|---|
| Series J | 2024 | — |
| Round preceding $134B valuation | 2024 | $4000M |
| Equity round at $134B valuation | 2026 | $5000M |
| Strategic round at $190B valuation, led by Coatue | 2026 | $5000M |
| Round at $60B valuation, including secondary sale | — | $9500M |
| Latest known round | Total raised |
|---|---|
| Round at $60B valuation, including secondary sale | — |
Recent developments
- Aug 2026FundingClosed strategic round at $190 billion valuation
Closed a $5 billion strategic round led by Coatue, with Blackstone, MGX, T. Rowe Price and Sixth Street Growth.
- Aug 2026ProductLakebase passes $100 million run-rate
Lakebase passed a $100 million annual run-rate, alongside a $7 billion company revenue run-rate.
- Jun 2026ProductData + AI Summit launches
Data + AI Summit in San Francisco with launches including Genie One, Unity AI Gateway and Lakebase.
- Feb 2026CompanyAnnounced $5.4 billion revenue run-rate
Announced a $5.4 billion revenue run-rate with growth above 65% year over year.
- Feb 2026FundingRaised about $5 billion equity and $2 billion debt
Raised about $5 billion in equity at a $134 billion valuation, plus about $2 billion in new debt capacity.
Competitive landscape
How Databricks compares with its top three alternatives
Databricks most often appears alongside AWS, Snowflake, BigQuery in AI answers.
| Brand | Visibility | Share of voice | vs last week | Starting price |
|---|---|---|---|---|
| Databricks | 46.2% | 7.6% | New | Pricing not available |
| AWS | 35.7% | 7.5% | New | Pricing not available |
| Snowflake | 68.6% | 11.3% | New | Contact sales |
| BigQuery | 63.6% | 12% | New | Pricing not available |
| MLflow | 50.9% | 9.7% | New | Pricing not available |
What AI answers say
Sentiment and themes from the answers that mention this brand
Positive 35% · Neutral 45% · Mixed 20% of 124 engine answers that mention Databricks
Praised for
- Lakehouse architecture combining data warehousing with data lake flexibility
- Strong for machine learning, AI, and data engineering workloads
- Top customer satisfaction ratings alongside Snowflake
- Free trial and free Edition for learning
- Discounts for annual prepaid commitments
Criticised for
- Complex consumption-based pricing with no single fixed price
- Best only when ML, Spark, or Python skills are central to the team
Cite as: SlateIndex, “Databricks AI visibility profile”, https://slateindex.ai/brand/databricks, data of Nov 2, 2026. Licence: CC BY 4.0.