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>Databricks vs Snowflake

Databricks AI Company Profile & RankingsSnowflake AI Company Profile & Rankings

AI Activity Comparison

Databricks

Databricks, Inc. is an American software company based in San Francisco that provides a cloud-based platform for data analytics and artificial intelligence. Founded in 2013 by the original creators of the Apache Spark processing engine, the company is known for developing the data lakehouse architecture, a system that combines elements of data warehouses and data lakes. Its product portfolio includes Delta Lake, an open-source project designed to add ACID transaction support to data lakes. Recent company developments include the launch of a serverless database product and a focus on enterprise AI adoption and agentic systems.

Snowflake

Snowflake Inc. is a cloud-based data platform company headquartered in Bozeman, Montana. The company provides a platform that enables data storage, processing, and analytic solutions designed for the cloud. It operates on the infrastructure of major cloud providers including Amazon Web Services, Microsoft Azure, and Google Cloud Platform, supporting data analysis and simultaneous access to data sets with minimal latency. The company has recently expanded its capabilities through strategic acquisitions, such as its move to acquire the application monitoring provider Observe. Snowflake is currently ranked among the top 100 companies in the AI industry.

Data updated: • Live

Based on 26 events tracked for Databricks over the past 30 days, updated in near real-time.

Databricks versus Snowflake: Live 2026 Comparison

Snowflake leads in development velocity with 1 events this week (significantly more than Databricks), while Databricks holds the edge in community sentiment at 43% positive. This comparison draws on 1 tracked events from the past 7 days — including product launches, research papers, and community discussions — scored through our 5-dimension scoring methodology. Our Hype Gap analysis shows Databricks has more authentic positioning (gap: -4.7) compared to Snowflake (-0.3). Data refreshes every 5 minutes. Compare other AI companies →

Databricks vs Snowflake: Key Signals

Activity:Snowflake 1 events/wk vs Databricks 0
Sentiment:Databricks 43% vs Snowflake 20%
Rank gap:#30 vs #46 (16 positions apart)
Hype gap:Databricks -4.7 vs Snowflake -0.3
Score:Databricks 44 vs Snowflake 26

Data refreshes every 5 minutes. Compare other companies →

Databricks vs Snowflake: Head-to-Head

Comparison of key metrics between Databricks and Snowflake
MetricDatabricksSnowflake
Rank#30#46
Overall Score44.126.2
7-Day Events01
30-Day Events269
Sentiment43%20%
Momentum
7d vs 30d velocity
0%0%
Hype Score5.36.5
Reality Score10.06.8
Hype Gap-4.7-0.3

📊 Visual Comparison

Compare 5 key metrics on a 0-100 scale. Larger area = stronger overall performance.

Databricks
Snowflake
Activity
0vs1
Sentiment
43vs20
Score
44vs26
Momentum
50vs50
Confidence
0vs0

Metric Definitions:

Activity: Weekly GitHub events (max 200 = 100)
Sentiment: Community sentiment (0-100)
Score: Overall ranking score
Momentum: Rank movement trend (50 = neutral)
Confidence: Data confidence level (0-100)

What Separates Databricks from Snowflake

Who Ships Faster: Snowflake or Databricks?

Snowflake logged 1 events this week vs Databricks's 0 — a significant difference in product launches, research papers, and code commits. Over the past 30 days, the gap is 0.3x (9 vs 26), suggesting this pace is consistent.

What Users Think of Databricks vs Snowflake

Databricks has 43% positive sentiment vs Snowflake's 20%. That 23-point gap is significant — it signals stronger user satisfaction and fewer community complaints about Databricks.

Does Databricks Deliver on Its Promises?

Databricks's hype gap of -4.7 vs Snowflake's -0.3 means Databricks delivers on its promises — marketing claims closely match actual capabilities.

Where Databricks and Snowflake Rank

Databricks at #30 outranks Snowflake at #46 among 2,800+ AI companies. The 16-rank gap reflects different market tiers and adoption levels.

Databricks vs Snowflake: Momentum Trend

Both companies show stable or declining momentum, suggesting a period of consolidation rather than rapid expansion.

About Databricks and Snowflake

Databricks

Headquarters
San Francisco, CA
Rank
#30
Score
44.1

Snowflake

Rank
#46
Score
26.2

Latest Signals: Databricks vs Snowflake

Latest tracked events for each company — product launches, research papers, community discussions, and more.

Databricks(0 events this week)

  • The Gravity

    Dev.to AI Tag
  • Exclusive: Databricks launches ‘Genie Code’ to own the next frontier of vibe-coding

    Fast Company Technology
  • Databricks launches data engineering copilot and acquires agent evaluation startup

    SiliconANGLE
  • Introducing AI Runtime: Scalable, Serverless NVIDIA GPUs on Databricks for Training and Finetuning

    Databricks Blog
  • Announcing General Availability of Real-Time Mode for Apache Spark Structured Streaming on Databricks

    Databricks Blog
View all Databricks signals →

Snowflake(1 events this week)

  • AI creating more jobs than cutting them, study says

    Hacker News Newest
  • All Data and AI Weekly #234 - 23 March 2026

    Dev.to AI Tag
  • Snowflake Cortex Code CLI: Sandbox Escape and RCE

    Hacker News Newest
  • Command Allowlists Cannot Stop Hackers - The Snowflake Cortex AI Hack

    Dev.to AI Tag
  • #327 Baris Gultekin: The Next Phase of AI - Agents That Understand Your Company's Data

    Eye on AI
View all Snowflake signals →

Analysis: Databricks vs Snowflake

Databricks (#30) leads Snowflake (#46) by 16 ranks, reflecting a meaningful difference in overall market position and activity.

Snowflake is shipping faster with 1 events this week, compared to Databricks's 0.

Community sentiment diverges sharply: Databricks at 43% positive vs Snowflake's 20%. Databricks maintains more authentic positioning with a hype gap of -4.7, compared to Snowflake's -0.3 — a key signal for evaluating long-term reliability.

Watch for: Databricks's latest signal ("The Gravity") and Snowflake's ("AI creating more jobs than cutting them, study says") could shift this matchup.

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Why Compare Databricks vs Snowflake?

Leader vs Challenger

Databricks (#30) has established market position, while Snowflake (#46) is 16 ranks behind. This comparison shows the gap between market leaders and aspiring competitors.

Who Compares Databricks and Snowflake

Enterprise Buyers

Comparing market leader against emerging alternative to balance stability vs innovation.

"Databricks for enterprise-grade reliability, Snowflake for cutting-edge features."

Developers & Builders

Choosing AI tools and platforms based on community sentiment, documentation quality, and ecosystem.

"Consider community feedback and integration ecosystem when making your choice."

Key Differences Between Databricks and Snowflake

  • **Community Perception**: Databricks has notably stronger positive sentiment (23% higher).
  • **Overall Performance**: 17.9-point score gap indicates Databricks has stronger combined metrics across activity, sentiment, and execution.

Choosing Between Databricks and Snowflake

Consider Databricks if you value:

  • • Proven market leadership (#30)
  • • Stronger community sentiment
  • • Higher substance-to-hype ratio

Consider Snowflake if you value:

  • • Higher development activity

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