MLDB
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About
MLDB is an open-source database specifically designed for machine learning, acquired by ElementAI to further its innovative work. Users can install MLDB anywhere, interacting with it via a RESTful API to store data, explore it with SQL, train machine learning models, and expose them as APIs. Key features include exceptional speed, allowing models to be trained faster than many alternatives and called thousands of times per second via HTTP. It offers vertical scalability, capable of processing billions of data points on cost-effective machines. MLDB is available on Github under the Apache license, promoting community collaboration. It leverages SQL for data querying and manipulation, uniquely supporting millions of schema-free columns. The platform covers a wide range of machine learning tasks—supervised, unsupervised, on numbers, images, or text—and integrates TensorFlow graphs. Ease of use is prioritized with Docker for installation and Jupyter for data science workflows. Its uniform JSON-over-REST API is accessible from any language, complemented by a Python wrapper (pymldb). A significant advantage is instant model deployment, as trained models are immediately available as HTTP endpoints.
Platform
Task
Features
• instant model deployment as http endpoints
• easy installation with docker and jupyter integration
• sql for data querying and manipulation
• uniform json-over-rest api with python wrapper
• extensive machine learning algorithms and tensorflow support
• open-source with apache license
• vertical scalability for billions of data points
• high-speed model training
Pricing Plans
Free
Free Plan• Open-source
• RESTful API access
• SQL data exploration
• Machine learning model training
• TensorFlow graph support
• HTTP endpoint deployment
• Docker installation
• Jupyter integration
• Python wrapper (pymldb)
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