Data Science & Machine Learning
Unified Data On Demand: From Training to Production with Your Preferred Query Engines
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Tackling Data Inefficiencies: Freshness, Consolidation, and Harmonization for All Teams
Unify and centralize diverse data sources, ensure data freshness, and harmonize assorted analytical tools to streamline machine learning and data science workflows for teams of all sizes.
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Centralizing data storage with Onehouse provides seamless integration with top analytical ecosystems. It also offers the flexibility to query both historical and near real-time data using the most effective engines to power data science and machine learning projects.
Unlock Centralized Data and Seamless Integration for Advanced ML and Analytics at Scale
Centralized Fresh Data On Demand
Exabyte Scalable Training Data
Seamless Integration with Leading ML Ecosystems
Key Features for Data Science and Machine Learning
Low Code ELT
Use Onehouse's low-code environment to easily apply pre-built transformations or add your own custom code for ELT processes.
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Managed Ingestion
Ensure seamless data consolidation by leveraging Onehouse’s managed ingestion from a variety of source types, including streaming data, databases, warehouses, and data lakes.
Query Anywhere
Read data directly into leading machine learning ecosystems with the tools and query engines best suited for the task at hand.
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Custom Transformations
Perform custom transformations directly in Onehouse's optimized compute environment, for cost-effective feature engineering at scale.
Elevate Data Science & ML with Onehouse
Achieve Faster Insights, Reduce Costs, and Simplify Workflows.