Audience

Anyone searching for a solution to manage their OLTP and operational analytics for Apache Hadoop

About Apache Phoenix

Apache Phoenix enables OLTP and operational analytics in Hadoop for low-latency applications by combining the best of both worlds. The power of standard SQL and JDBC APIs with full ACID transaction capabilities and the flexibility of late-bound, schema-on-read capabilities from the NoSQL world by leveraging HBase as its backing store. Apache Phoenix is fully integrated with other Hadoop products such as Spark, Hive, Pig, Flume, and Map Reduce. Become the trusted data platform for OLTP and operational analytics for Hadoop through well-defined, industry-standard APIs. Apache Phoenix takes your SQL query, compiles it into a series of HBase scans, and orchestrates the running of those scans to produce regular JDBC result sets. Direct use of the HBase API, along with coprocessors and custom filters, results in performance on the order of milliseconds for small queries, or seconds for tens of millions of rows.

Pricing

Starting Price:
Free
Free Version:
Free Version available.

Integrations

API:
Yes, Apache Phoenix offers API access

Ratings/Reviews

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Company Information

Apache Software Foundation
phoenix.apache.org

Videos and Screen Captures

Apache Phoenix Screenshot 1
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Product Details

Platforms Supported
Windows
Mac
Linux
Training
Documentation
Support
Online

Apache Phoenix Frequently Asked Questions

Q: What kinds of users and organization types does Apache Phoenix work with?
Q: What languages does Apache Phoenix support in their product?
Q: What kind of support options does Apache Phoenix offer?
Q: What other applications or services does Apache Phoenix integrate with?
Q: Does Apache Phoenix have an API?
Q: What type of training does Apache Phoenix provide?
Q: How much does Apache Phoenix cost?

Apache Phoenix Product Features

Relational Database

ACID Compliance
Referential Integrity
Unicode Support
Multi-Platform
Data Failure Recovery
SQL DDL Support
SQL DML Support
System Catalog