# Omid 1.0.0 adds low-latency transaction processing for Apache Phoenix

DevFeed: [Omid 1.0.0 adds low-latency transaction processing for Apache Phoenix](<https://devfeed.tech/articles/a-new-chapter-for-omid-20494.md>)

Original publisher: [Read original article](<https://yahooeng.tumblr.com/post/180867271141>)

Author: amberwilsonla-blog

Published: 2018-12-06T19:32:04Z

Content type: release

Language: en

Sources: [Yahoo](<https://devfeed.tech/sources/yahoo.md>)

Topics: [phoenix](<https://devfeed.tech/topics/phoenix.md>), [Transactions](<https://devfeed.tech/topics/transactions.md>), [Hadoop](<https://devfeed.tech/topics/hadoop.md>), [SQL](<https://devfeed.tech/topics/sql.md>), [Deployment](<https://devfeed.tech/topics/deployment.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>)

Tags: [big-data](<https://devfeed.tech/tags/big-data.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [hadoop](<https://devfeed.tech/tags/hadoop.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [phoenix](<https://devfeed.tech/tags/phoenix.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [speed](<https://devfeed.tech/tags/speed.md>), [sql](<https://devfeed.tech/tags/sql.md>), [transactions](<https://devfeed.tech/tags/transactions.md>), [yahoo-engineering](<https://devfeed.tech/tags/yahoo-engineering.md>)

## AI overview

This release article introduces Omid 1.0.0, an open source transaction processing platform for Big Data, and announces its selection as the transaction management provider for Apache Phoenix. It describes the Omid Low Latency protocol, which reduces short-transaction latency by 5 times under light load and by 10 to 100 times under heavy load.

## Source excerpt

yahoodevelopers: By Ohad Shacham, Yonatan Gottesman, Edward Bortnikov Scalable Systems Research, Verizon/Oath Omid, an open source transaction processing platform for Big Data, was born as a research project at Yahoo (now part of Verizon), and became an Apache Incubator project in 2015. Omid complements Apache HBase, a distributed key-value store in Apache Hadoop suite, with a capability to clip multiple operations into logically indivisible (atomic) units named transactions. This programming model has been extremely popular since the dawn of SQL databases, and has more recently become indispensable in the NoSQL world. For example, it is the centerpiece for dynamic content indexing of search and media products at Verizon, powering a web-scale content management platform since 2015. Today, we are excited to share a new chapter in Omid's history. Thanks to its scalability, reliability, and speed, Omid has been selected as transaction management provider for Apache Phoenix, a real-time converged OLTP and analytics platform for Hadoop. Phoenix provides a standard SQL interface to HBase key-value storage, which is much simpler and in many cases more performant than the native HBase API. With Phoenix, big data and machine learning developers get the best of all worlds: increased productivity coupled with high scalability. Phoenix is designed to scale to 10,000 query processing nodes in one instance and is expected to process hundreds of thousands or even millions of transactions per second (tps). It is widely used in the industry, including by Alibaba, Bloomberg, PubMatic, Salesforce, Sogou and many others. We have just released a new and significantly improved version of Omid (1.0.0), the first major release since its original launch. We have extended the system with multiple functional and performance features to power a modern SQL database technology, ready for deployment on both private and public cloud platforms. A few of the significant innovations include: Protocol