Market Research

Snowflake wins lakehouse nod as AI costs bite

Snowflake named Leader in Gartner's first lakehouse Quadrant with 4.29/5 for modernization.

StartupHub.ai Staff

By StartupHub.ai Staff, reviewed by Daniel Singer, Editor

2 min read

Snowflake Leader in Gartner lakehouse platforms ranking
Credit: Snowflake

Snowflake earned Leader status in Gartner's first lakehouse Quadrant with a 4.29/5 modernization score.

Gartner published the Magic Quadrant for Data Lakehouse Platforms on Nov 4, with Critical Capabilities following on Nov 5, according to Snowflake. The firm now treats the lakehouse as a distinct market that blends warehouse governance with lake scale on open table formats.

Snowflake market, from StartupHub data

Figures below are published StartupHub profiles tagged Snowflake.

Snowflake: notable companies in our database
CompanyWhat they doFunding / valuation
Eureka SecurityCloud data security platform for AWS, Azure, GCP, and Snowflake.$8M

Competition is already crowded, as Google Cloud says it was also named a Leader and placed furthest for vision.

Snowflake frames the win around warehouse modernization without migration, per its announcement. It scored 4.29/5 for that use case and 4.23/5 for Unified Analytics Data Platform, ranking No. 1 and No. 2 respectively according to Snowflake citing Gartner. The core claim is one trust boundary across warehouses, lakes and lakehouses through Horizon Catalog. That catalog is built on Apache Polaris for Iceberg interoperability, with masking, row access controls and reusable semantic views.

That means fewer copies.

Data teams must connect where data lives and move it only when required, Snowflake says. Horizon Catalog governs Iceberg tables in external catalogs, while zero-copy integrations reach Workday, Salesforce, SAP and shared accounts. Insurance tech firm Klarent defined customer, policy, trip and claim once in Snowflake so agents and reports reuse the same definitions, according to the company.

Budgets face the next test. Snowflake cites per-user quotas that can block AI requests, budget alerts at organization, account and object levels, and anomaly detection for spikes. Indeed cut employer analytics from 10 compute clusters to four on interactive tables and warehouses, with 60% faster queries and 45% lower infrastructure costs, according to Snowflake. Internal testing of CoWork with Cortex Sense lifted accuracy from 24.1% to 86.3% and cut cost from $1.76 to $0.59 per query, according to the company.

The same trust-first pitch ran in Snowflake's push to fix data first for sales teams and in CoWork coverage of knowledge worker agents. CDOs must now decide if connection and governed sharing can replace another migration cycle. Gartner's Nov 4 and Nov 5 reports set the baseline for next year's reassessment.

Mentioned in this story

Markets

WorkdayNASDAQ:WDAY
SAPNYSE:SAP
SnowflakeNYSE:SNOW

Sources

Get the free daily brief every morning

Every morning the day's AI news, new AI startups and new funding rounds. Free and takes a few minutes to read, unsubscribe at any time.

Join 64,000 other subscribers.

TopicsSnowflakeGartnerGoogle CloudHorizon CatalogApache IcebergApache PolarisIndeedKlarent

StartupHub.ai Staff

Written by

StartupHub.ai StaffEditorial team

The staff writers of StartupHub.ai, ranging from investment analysts to avid AI tool users, early adopters and critical enthusiasts. Backgrounds span engineering, business and the arts. We hold every piece to rigorous standards of research and review.

Daniel Singer

Reviewed by

Daniel Singer is an AI expert who has been writing about, covering and building AI technology since 2018.

Test your Agent Readiness now

Paste your website. How well ChatGPT, Claude and the other agents can read and use a site, in about a minute.

Watch

The videos behind the news, one flip at a time

The feed mixes the videos from our articles with startup demos and you flip through them like TV channels for free with no signup.