Chaos Genius
Chaos Genius is a DataOps Observability platform for Snowflake. Enable Snowflake Observability to reduce Snowflake costs and optimize query performance.
Learn more
Capital One Slingshot
Capital One Slingshot is a cloud data platform optimization and management solution that helps organizations simplify, optimize, and maximize their use of Snowflake and Databricks by providing enhanced visibility into financial and compute spend, continuous monitoring, dynamic rightsizing, and AI-driven recommendations to reduce waste and inefficiencies while improving performance. It delivers granular dashboards and reports tracking cost, usage, and performance trends, allocates costs to business units with custom tagging, and offers proactive alerts for credit consumption and cost spikes. Slingshot’s recommendation engine analyzes workloads to right-size warehouses, suggests schedule adjustments, and highlights inefficient queries with its Query Advisor to improve SQL performance. It supports automated optimization for Databricks jobs using machine learning models and enables federated management and governance with customizable workflows and controls.
Learn more
Keebo
If your cloud warehousing spending is going up and your data team is spending hours on data modeling and optimizing queries, or if your users are complaining about slow dashboards, try Keebo data learning! Snowflake is an amazing platform, but also very expensive. Slash your Snowflake costs overnight with Keebo’s fully-automated optimizations. We only charge a % of what we save you. No savings, no charges! Busy with other priorities? To use Keebo, you only need 30 mins start to finish! Set it and forget it. You don’t need to install anything or even grant access to any of your data! Poorly performing queries are the bane of every data team requiring so much time, manual effort, and expertise. Get the performance you need without so much effort. Improve performance everywhere with a platform-independent solution that increases your current data and analytics stack’s ROI. Implement with zero code, zero changes & zero migration.
Learn more
nao
nao is an AI-powered data IDE designed specifically for data teams, combining a code editor with native integration to your data warehouse so you can write, test, and maintain data-centric code with full context. It supports warehouses such as Postgres, Snowflake, BigQuery, Databricks, DuckDB, Motherduck, Athena, and Redshift. Once connected, nao replaces a traditional data-warehouse console by offering schema-aware SQL auto-completion, data previews, SQL worksheets, and the ability to switch easily between multiple warehouses. The core of nao is its AI agent, which has full awareness of your actual data schema, tables, columns, metadata, and your codebase or data-stack context. It can generate SQL queries or full data-transformation models (e.g., for dbt workflows), refactor code, add or update documentation, run data-quality checks and data-diff tests, and even surface insights or run exploratory analytics, all while respecting data structure and quality constraints.
Learn more
