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

ArcadeDB is an open-source, next-generation multi-model database. Forget Polyglot Persistence — store graphs, documents, key-value pairs, search engine indexes, vectors, and time-series data all in one database with native support for every model. No translation layers, no performance penalties. Process over 10 million records per second. Traversal speed stays constant whether your database has hundreds or billions of records. Query in the language you prefer: SQL, Cypher, Gremlin, GraphQL, MongoDB API, or Java. Deploy ArcadeDB embedded in your JVM application, on a standalone server, or distributed across multiple nodes with Raft Consensus for high availability. Fully ACID-compliant. Super lightweight. Apache 2.0 licensed — free for production and commercial use.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

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

Audience

Professional developers seeking a tool to manage complex models and store graphs, documents, key values, and time series

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

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

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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Apache Software Foundation
phoenix.apache.org

Company Information

ArcadeDB
Founded: 2017
United Kingdom
arcadedb.com

Alternatives

Alternatives

Apache Trafodion

Apache Trafodion

Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation
Apache TinkerPop

Apache TinkerPop

Apache Software Foundation
RaimaDB

RaimaDB

Raima

Categories

Embedded Database Supported
SQL Databases Supported

Categories

Integrations

Amazon EMR Supported
Apache Flume Supported
Apache HBase Supported
Apache Hive Supported
Apache Spark Supported
Data Sentinel Supported
Docker Not Supported
G.V() Gremlin IDE Not Supported
Hadoop Supported
Kubernetes Not Supported
MongoDB Not Supported
Neo4j Not Supported
NoSQL Supported
OrientDB Not Supported
PostgreSQL Not Supported
Python Supported
Redis Not Supported
SQL Supported
Salesforce Data 360 Supported
Trino Supported

Integrations

Amazon EMR Not Supported
Apache Flume Not Supported
Apache HBase Not Supported
Apache Hive Not Supported
Apache Spark Not Supported
Data Sentinel Not Supported
Docker Supported
G.V() Gremlin IDE Supported
Hadoop Not Supported
Kubernetes Supported
MongoDB Supported
Neo4j Supported
NoSQL Not Supported
OrientDB Supported
PostgreSQL Supported
Python Not Supported
Redis Supported
SQL Not Supported
Salesforce Data 360 Not Supported
Trino Not Supported
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