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What Is Peloton?

  • Peloton is a self-driving in-memory relational DBMS for real-time analytics.
  • It contains domain-specific AI for automatically adapting to evolving real-world workloads.
  • It is designed from the ground up to leverage the characteristics of non-volatile memory.
  • It can handle both fast ACID transactions and complex analytical queries on the same database.

What Problem Does Peloton Solve?

In the last two decades, both researchers and vendors have built advisory tools to assist database administrators in various aspects of system tuning and physical design. Most of this previous work, however, is incomplete because they still require humans to make the final decisions about any changes to the database and are reactionary measures that fix problems after they occur.

What is needed for a truly “self-driving” database management system (DBMS) is a new architecture that is designed for autonomous operation. This is different than earlier attempts because all aspects of the system are controlled by an integrated planning component that not only optimizes the system for the current workload, but also predicts future workload trends so that the system can prepare itself accordingly. With this, the DBMS can support all of the previous tuning techniques without requiring a human to determine the right way and proper time to deploy them. It also enables new optimizations that are important for modern high-performance DBMSs, but which are not possible today because the complexity of managing these systems has surpassed the abilities of human experts.

Peloton is a relational database management system designed for fully autonomous optimization of hybrid workloads. See the peloton wiki for more information.

Installation

Check out the installation instructions.

Supported Platforms

Peloton is known to work on the following platforms. Please note that it will not compile on 32-bit systems.

  • Ubuntu Linux 14.04+ (64-bit)
  • Fedora Linux 24+ (64-bit)
  • Mac OS X 10.9+ (64-bit)

Development / Contributing

We invite you to help us build the future of self-driving DBMSs. Please look up the contributing guide for details.

Issues

Before reporting a problem, check out this how to file an issue guide.

Status

Technology preview: currently unsupported, may be functionally incomplete or unsuitable for production use.

Contributors

See the people page for the full listing of contributors.

License

Copyright (c) 2014-16 CMU Database Group
Licensed under the Apache License.

peloton's People

Contributors

yingjunwu avatar jinwoongkim avatar mindbergh avatar linmagit avatar fzqneo avatar eric-haibin-lin avatar amaliujia avatar ranxian avatar wangziqi2013 avatar mattperron avatar aelroby avatar apavlo avatar yeoedward avatar abhishekjoshi2 avatar saifalharthi avatar jessesleeping avatar sid1607 avatar viveksengupta avatar runshenzhu avatar jiajunwang avatar snleee avatar omegaga avatar normanyahq avatar dvanaken avatar saurabhkadekodi avatar ghatage avatar studentx avatar yangmann avatar zheyuanbu avatar yudun avatar

Watchers

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