Observed Signal · Oct 9, 2026 · Product Launch · Source: https://martechseries.com/feed/ · Impact: 2/5 · Sentiment: Positive
Seemore Data Launches Cost Optimization for Databricks
Seemore Data, a Tel Aviv-based startup, has announced early access to Seemore for Databricks, extending its data cloud cost optimization platform from Snowflake to Databricks. The tool provides unified visibility into Databricks spend across SQL warehouses, Lakeflow jobs, clusters, and AI services, and automatically optimizes SQL warehouses within customer-defined guardrails. This launch comes as enterprises seek to fund a projected $2.5 trillion in AI spending in 2026, with many allocating AI budgets from existing software budgets. Seemore claims its Snowflake customers see an average 33% bill reduction and 6.1x ROI, and expects similar results for Databricks. The platform uses metadata-only access, reading Databricks system tables without accessing customer data.
The launch addresses the growing need for cost optimization in AI/data infrastructure, which is relevant to MarTech companies using Databricks, but it is a niche product launch with limited industry-wide impact.
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Key Takeaways & Evidence Grounding
- Seemore Data announced early access to Seemore for Databricks.
- The tool provides unified cost visibility and automated optimization for Databricks SQL warehouses.
- Gartner forecasts worldwide AI spending will reach $2.5 trillion in 2026.
- Seemore reports Snowflake customers see an average 33% bill reduction and 6.1x ROI.
- Seemore for Databricks uses metadata-only access, reading system tables without accessing customer data.
Connected Companies & Entities
2 Entities mapped“The new offering gives data platform and FinOps teams a single view of Databricks spend across SQL warehouses, Lakeflow jobs, all-purpose cl...”
“Capturing that context is what Seemore was built to do, first on Snowflake and now on Databricks....”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Databricks Revenue Soars 80% to $6.9B; Margins Shrink
Databricks said annualized revenue increased more than 80% year‑over‑year to $6.9 billion, driven by strong demand for its data and AI products. The company warned margins are compressing as customers deploy numerous AI agents that generate far more queries and consumption, raising underlying model and infrastructure costs. CEO and co‑founder Ali Ghodsi told CNBC the trend reflects a consumption‑based business model and the rise of agentic AI. Databricks disclosed it now gets $1.7 billion in annual AI product revenue (up from $1.4 billion in February), announced the acquisition of security startup Panther, and unveiled CustomerLake — an agentic, lakehouse‑native product for marketing/customer data. Databricks remains privately valued at about $134 billion, larger than rival Snowflake’s roughly $83 billion market cap.
Scalo and Databricks Unite for AI and Data Revolution
Scalo announced it has expanded its partnership with Databricks by joining Databricks' Consulting and Service Integration Partner Program. The move integrates Databricks' Data Intelligence Platform into Scalo’s growing Data & AI practice, enabling joint customers to centralize data, adopt lakehouse architectures, deploy ML/AI solutions, and accelerate analytics and MLOps adoption. Scalo said the partnership supports cloud-based modernization, real-time streaming, unified data warehouses/lakehouses, intelligent automation, and scaled insights. The announcement is positioned as part of Scalo’s broader growth strategy to expand its regional and industry presence and offer end-to-end software, consulting, and staffing services for enterprise data and AI initiatives.
DataRadar Launches Native App on Snowflake Marketplace
DataRadar™ announced a native data quality and cost-optimization application available on Snowflake Marketplace. The app runs directly inside customers' Snowflake environments and aims to improve data integrity, pipeline health, performance optimization, usage intelligence, and cloud cost management without moving sensitive data outside the data warehouse. DataRadar positions the release as a way to accelerate enterprise AI readiness by providing real-time monitoring, automation and visibility into Snowflake usage. The announcement includes quotes from Chris Alfaras (CIO of Confie and EVP of DataRadar™) and Cody Abramson (Snowflake Enterprise Account Executive), and a customer testimonial from Swati Arora (VP, Data Solutions at Caesars Entertainment) praising the platform's monitoring and cost-optimization capabilities. The article was published via PR Newswire on May 20, 2026.
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