Apache Phoenix

Apache Phoenix

Apache Software Foundation
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About

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.

About

Oracle Big Data SQL Cloud Service enables organizations to immediately analyze data across Apache Hadoop, NoSQL and Oracle Database leveraging their existing SQL skills, security policies and applications with extreme performance. From simplifying data science efforts to unlocking data lakes, Big Data SQL makes the benefits of Big Data available to the largest group of end users possible. Big Data SQL gives users a single location to catalog and secure data in Hadoop and NoSQL systems, Oracle Database. Seamless metadata integration and queries which join data from Oracle Database with data from Hadoop and NoSQL databases. Utilities and conversion routines support automatic mappings from metadata stored in HCatalog (or the Hive Metastore) to Oracle Tables. Enhanced access parameters give administrators the flexibility to control column mapping and data access behavior. Multiple cluster support enables one Oracle Database to query multiple Hadoop clusters and/or NoSQL systems.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

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

Audience

Organizations and enterprises looking for a solution to analyze data and unlock data lakes

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Apache Software Foundation
phoenix.apache.org

Company Information

Oracle
Founded: 1977
United States
www.oracle.com/big-data/big-data-sql/

Alternatives

Alternatives

Apache Trafodion

Apache Trafodion

Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation
Apache Phoenix

Apache Phoenix

Apache Software Foundation

Categories

Categories

Integrations

Hadoop
Amazon EMR
AnalyticsCreator
Apache Flume
Apache HBase
Apache Hive
Apache Spark
Collate
Data Sentinel
Docker
Kubernetes
Legion AI
NoSQL
Oracle Database
Python
SQL
Salesforce Data Cloud
Supaboard
Trino

Integrations

Hadoop
Amazon EMR
AnalyticsCreator
Apache Flume
Apache HBase
Apache Hive
Apache Spark
Collate
Data Sentinel
Docker
Kubernetes
Legion AI
NoSQL
Oracle Database
Python
SQL
Salesforce Data Cloud
Supaboard
Trino
Claim Apache Phoenix and update features and information
Claim Apache Phoenix and update features and information
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