Apache Phoenix vs. H2 Comparison


Apache Phoenix Apache Software Foundation	H2	+	+
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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 Welcome to H2, the Java SQL database. In embedded mode, an application opens a database from within the same JVM using JDBC. This is the fastest and easiest connection mode. The disadvantage is that a database may only be open in one virtual machine (and class loader) at any time. As in all modes, both persistent and in-memory databases are supported. There is no limit on the number of database open concurrently, or on the number of open connections. The mixed mode is a combination of the embedded and the server mode. The first application that connects to a database does that in embedded mode, but also starts a server so that other applications (running in different processes or virtual machines) can concurrently access the same data. The local connections are as fast as if the database is used in just the embedded mode, while the remote connections are a bit slower.
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 Not 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 Database management solution for businesses
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported
API Offers API Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing No information available. Free Version Not 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 H2 www.h2database.com/html/main.html
Alternatives CUBRID	Alternatives RaimaDB Raima
Apache Trafodion Apache Software Foundation	Empress RDBMS Empress Software
Apache Spark Apache Software Foundation	SAP HANA SAP
HugeGraph	Oracle TimesTen Oracle
Apache Derby Apache View All	eXtremeDB McObject View All
Categories Embedded Database Supported Relational Database Supported SQL Databases Supported	Categories Database Supported Database Management Systems (DBMS) Supported Embedded Database Supported In-Memory Databases Supported Relational Database Supported SQL Databases Supported

Integrations 3forge Supported Airtool Not Supported Amazon EMR Supported Apache HBase Supported Apache Hive Supported Chat2DB Not Supported DOT Anonymizer Not Supported Data Sentinel Supported DbVisualizer Not Supported DigDash Not Supported Hadoop Supported Metabase Not Supported New Relic Not Supported NoSQL Supported Python Supported RazorSQL Not Supported SQL Supported SQLife Not Supported Salesforce Data 360 Supported Trino Supported Show More Integrations View All 13 Integrations	Integrations 3forge Not Supported Airtool Supported Amazon EMR Not Supported Apache HBase Not Supported Apache Hive Not Supported Chat2DB Supported DOT Anonymizer Supported Data Sentinel Not Supported DbVisualizer Supported DigDash Supported Hadoop Not Supported Metabase Supported New Relic Supported NoSQL Not Supported Python Not Supported RazorSQL Supported SQL Not Supported SQLife Supported Salesforce Data 360 Not Supported Trino Not Supported Show More Integrations View All 10 Integrations
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