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In modern versions of Linux, tcmalloc's performance on 32+ threads is
much poorer than the built-in glibc malloc (ptmalloc2++).  Since MLDB
often runs on machines with 32+ virtual cores, it doesn't any longer
make sense to use tcmalloc and bring in an extra dependency.

Includes trivial fixes to tests that failed due to the change in
allocator.
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ReadMe.md

MLDB is the Machine Learning Database

by MLDB.ai

Join the chat at https://gitter.im/mldbai/mldb

MLDB is an open-source database designed for machine learning. You can install it wherever you want and send it commands over a RESTful API to store data, explore it using SQL, then train machine learning models and expose them as APIs. More information is available at http://mldb.ai

This repository contains the source code for MLDB, which can be used to build the MLDB Community Edition, which is a Docker image containing all of MLDB's dependencies and can be run anywhere.

The easiest way to get started with MLDB is to sign up to MLDB.ai and launch a free 90-minute hosted MLDB session. You'll be able to browse the live documentation and run and modify the demos yourself. You can also download a pre-built binary of the MLDB Enterprise Edition and use it with a free trial license for non-commercial purposes, which can be obtained instantly once you sign up to MLDB.ai.

Please create a Github Issue or chat with us on Gitter if you have any questions or encounter problems while building or running MLDB.

Documentation

Raw Markdown documentation files are located under container_files/public_html/doc and you can browse them on Github or you can browse the full-rendered version at https://docs.mldb.ai

Copyright & License (Apache License v2.0)

MLDB is © 2016 mldb.ai inc, and is distributed under the Apache License, version 2.0, except for the contents of the ext directory, which contains modified versions of other open-source software components, each of which is distributed under its own, Apache-compatible license and lists its own copyright information.

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