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Databricks optimization platformsAI-driven optimization platform for Databricks, Snowflake and BigQuery covering cost visibility, chargeback, budgets and job and cluster tuning.
21 tools that help you see, control and cut Databricks spend, from Databricks' own built-in features to third-party optimizers. Each one was checked on the vendor's own site on October 16, 2026.
One clearly labeled spot at the top of this directory for a Databricks cost tool. Get featured →
Products that analyze Databricks jobs, clusters and warehouses and recommend or apply changes to cut spend.
AI-driven optimization platform for Databricks, Snowflake and BigQuery covering cost visibility, chargeback, budgets and job and cluster tuning.
Databricks and Snowflake cost visibility, allocation, budgets, anomaly detection and right-sizing recommendations inside Flexera One.
Formerly Chaos Genius (acquired by Flexera, January 2026)
Cost attribution, anomaly detection and automated SQL warehouse optimization for Databricks, built on its Snowflake product. Databricks support is in beta.
Databricks support in beta / early access
Capital One Software's cost tool for Snowflake and Databricks, with ML-based job compute optimization that came from its acquisition of Sync Computing (Gradient).
Includes the former Sync Computing (Gradient)
Autonomous cluster configuration, workload-aware autoscaling and spot instance management for Databricks jobs.
Autonomous cloud optimization platform that right-sizes Databricks clusters and tunes auto-termination and node limits.
AI agent for data cost optimization and data observability across Snowflake, Databricks, BigQuery and Redshift.
Multi-cloud cost tools that pull in Databricks usage for allocation, budgets, forecasting and anomaly alerts.
Cloud cost platform that combines Databricks DBU charges with the underlying cloud bill, with allocation, anomaly alerts and forecasts.
Cost allocation and unit-economics platform that attributes Databricks spend to teams, products and customers, with near-real-time anomaly alerts.
FinOps platform that joins Databricks DBU spend with the underlying VM cost and allocates it by workspace, job, notebook, SQL warehouse and serving endpoint.
FinOps platform whose Databricks integration ingests system billing tables for reporting next to your other cloud spend.
Cloud and AI cost monitoring with budgets, anomaly alerts and savings recommendations, with Databricks among its 24 integrations.
Monitoring tools for Databricks jobs and pipelines that also surface cost and efficiency problems.
Monitoring for Databricks and Spark jobs that detects failing and long-running jobs and recommends fixes for overprovisioned clusters and inefficient queries.
Observability and optimization for Databricks and Spark pipelines: job auto-tuning, routing jobs between classic and serverless, and data quality monitoring.
Free or open-source utilities for finding waste in Spark and Databricks workloads.
Open-source Spark UI add-on that highlights performance problems, plus a paid platform with AI agents for Spark job and cluster tuning.
Free command-line tool that reads Spark History Server data and reports idle compute and stage-level bottlenecks. Works with Databricks.
Cost controls that ship with Databricks itself. Start here before buying anything.
system.billing.usage and system.billing.list_prices: every billable DBU by workspace, SKU, job, cluster, warehouse and tag, queryable with SQL.
Account-console budgets that track monthly list-price spend by workspace or tag and email alerts at up to four thresholds.
Pre-built, customizable cost dashboards that account admins import from the account console, broken down by product, SKU and tag.
Tag policies (formerly serverless budget policies) that stamp serverless notebooks, jobs, pipelines and endpoints with cost-attribution tags.
Public Preview
Admin-defined rules that limit what clusters users can create, including max DBUs per hour, cluster counts, instance types and required tags.
Independent listings, not endorsements. Inclusion is free and editorial; we haven't tested these products, and we don't take payment to be listed. Sponsored placements are always labeled. Every listing was checked against the vendor's own website on October 16, 2026. Pricing and cloud support are shown only where the vendor states them publicly.