Apache PhoenixApache Software Foundation
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HyperSQL DataBaseThe hsql Development Group
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Related Products
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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.
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About
HSQLDB (HyperSQL DataBase) is the leading SQL relational database system written in Java. It offers a small, fast multithreaded and transactional database engine with in-memory and disk-based tables and supports embedded and server modes. It includes a powerful command line SQL tool and simple GUI query tools. HSQLDB supports the widest range of SQL Standard features seen in any open source database engine: SQL:2016 core language features and an extensive list of SQL:2016 optional features. It supports full Advanced ANSI-92 SQL with only two exceptions. Many extensions to the Standard, including syntax compatibility modes and features of other popular database engines, are also supported.
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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
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Anyone searching for a solution to manage their OLTP and operational analytics for Apache Hadoop
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Audience
Companies and professionals seeking a database performance test package solution
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Supported
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Company InformationApache Software Foundation
phoenix.apache.org
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Company InformationThe hsql Development Group
www.hsqldb.org
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Alternatives |
Alternatives |
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Categories |
Categories |
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Database Features
Backup and Recovery
Supported
Creation / Development
Supported
Data Migration
Not Supported
Data Replication
Not Supported
Data Search
Supported
Data Security
Supported
Database Conversion
Supported
Mobile Access
Supported
Monitoring
Not Supported
NOSQL
Supported
Performance Analysis
Not Supported
Queries
Supported
Relational Interface
Supported
Virtualization
Not Supported
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Integrations
3forge
Supported
Amazon EMR
Supported
Apache HBase
Supported
Apache Hive
Supported
Apache Spark
Supported
Data Sentinel
Supported
Data Virtuality
Not Supported
DataClarity Unlimited Analytics
Not Supported
DataGrip
Not Supported
DbVisualizer
Not Supported
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Integrations
3forge
Not Supported
Amazon EMR
Not Supported
Apache HBase
Not Supported
Apache Hive
Not Supported
Apache Spark
Not Supported
Data Sentinel
Not Supported
Data Virtuality
Supported
DataClarity Unlimited Analytics
Supported
DataGrip
Supported
DbVisualizer
Supported
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