Enterprise Tech / BI & Operational Intelligence
Best Feature Stores Companies
What is Feature Stores?
The feature stores market is a relatively new segment within the data management industry that provides solutions for managing, storing and sharing machine learning features across an organization. These features are critical components of machine learning models used in various applications such as fraud detection, recommendation engines, and predictive maintenance. The main benefits of using feature stores include improved model accuracy, faster development cycles, reduced duplication efforts and better collaboration among teams working on ML projects. As more companies adopt AI/ML technologies to drive business growth and innovation, the demand for feature store solutions is expected to grow significantly over the next few years.
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Top Feature Stores Companies
H2O.ai is an AI company that makes machine learning accessible to corporates and allows business users to extract key information from data, without needing prior knowledge in deploying or tuning machine learning model, with key deployments in financial services, insurance, healthcare, among other industries. The firm was founded in 2011 and is based in Mountain View, California.
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Snowflake, Commonwealth Bank of Australia, Teradata, and 1 more
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Turkiye Bankasi, Snowflake, Stanley Black & Decker, and 1 more
Key People
Sri Satish Ambati, Raman Kapur, Arno Candel, and 1 more
Harness offers a continuous delivery-as-a-service platform designed to provide a secure way for engineering and DevOps teams to release applications into production. Harness uses machine learning to detect the quality of deployments and automatically roll back failed ones, saving time and reducing the need for custom scripting and manual oversight. The company was founded in 2016 and is based in San Francisco, California.
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dotData provides an end-to-end data science automation platform that accelerates, democratizes, and operationalizes the entire data science process with artificial intelligence/machine learning. The company was founded in 2018 and is based in San Mateo, California.
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FeatureBase offers a distributed, highly-scalable, real-time database available via open source or cloud that is designed to execute analytical queries with low latency. It is designed for workloads that require real-time analytics. FeatureBase was formerly known as Molecula. The company was founded in 2017 and is based in Austin, Texas.
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LaunchDarkly provides product managers with a continuous delivery platform to deliver, measure and control their software features. The company was founded in 2014 and is based in Oakland, California.
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Logical Clocks is the developer of Hopsworks, a data-intensive AI platform with a Feature Store.
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Obviously AI provides no-code artificial intelligence (AI) tools. Its platform allows users to run machine learning predictions and analytics. The company aims to forego coding required for machine learning and analytics to drive productivity. It was founded in 2020 and is based in San Francisco, California.
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Scribble Data is an MLOps product company. Its modular feature store, Enrich, comprises a number of pre-built feature engineering apps to help data teams cut time-to-market for each data science use case, including unified metrics, customer behavioral modeling, and recommendations. Enrich streamlines the data prep process with versioned pipelines, delivering continuously updated data through intuitive interfaces and surfacing context around datasets via extensive metadata and lineage tracking. With offices in Toronto, Canada and Bangalore, India, Scribble Data has clients across four continents.
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Tecton offers a fully-managed ML feature platform that orchestrates the complete lifecycle of features, from transformation to online serving, with enterprise-grade SLAs. Its platform can also monitor data pipelines, calculate the latency and processing costs, and retrieve historical features to train systems in production. The company was founded in 2019 and is based in San Francisco, California.
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Unleash is a technology and feature management platform that allows developers to test and analyze new features. It is based in Norway.
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Our Methodology
The ESP matrix leverages data and analyst insight to identify and rank leading private-market companies in a given technology landscape.
What is Feature Stores?
The feature stores market is a relatively new segment within the data management industry that provides solutions for managing, storing and sharing machine learning features across an organization. These features are critical components of machine learning models used in various applications such as fraud detection, recommendation engines, and predictive maintenance. The main benefits of using feature stores include improved model accuracy, faster development cycles, reduced duplication efforts and better collaboration among teams working on ML projects. As more companies adopt AI/ML technologies to drive business growth and innovation, the demand for feature store solutions is expected to grow significantly over the next few years.
Expert Collections
Market Map
Similar Markets
Do you compete within Feature Stores?
Reach more buyers.
Your future customers are researching their next tech solution on CB Insights. Make sure they can find you.