Apache Phoenix vs. Starcounter Comparison


Apache Phoenix Apache Software Foundation	Starcounter	+	+
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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 Our ACID in-memory technology and application server enable you to build lightning-fast enterprise software. Without custom tooling or new syntax. Starcounter applications let you achieve 50 to 1000 times better performance without adding complexity. Applications are written in regular C#, LINQ, and SQL. Even the ACID transactions are written in regular C# code. Full Visual Studio support including IntelliSense, debugger, and performance profiler. All the things you like, minus the headache. Write regular C# syntax with MVVM pattern to leverage ACID in-memory technology and thin client UI for extreme performance. Starcounter technology adds business value from day one. We leverage technology that’s already developed and in production, processing millions of business transactions for high-demand customers. Starcounter combines ACID in-memory database and application server into a single platform unmatched in performance, simplicity, and price.
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 Not Supported Linux Not Supported Cloud 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 Developers requiring a tool to build next-generation enterprise software
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 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 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 Supported
Company Information Apache Software Foundation phoenix.apache.org	Company Information Starcounter Sweden starcounter.io
Alternatives CUBRID	Alternatives RaimaDB Raima
Apache Trafodion Apache Software Foundation	Apache Ignite
Apache Derby Apache	Oracle TimesTen Oracle
HugeGraph	Hazelcast
Apache Spark Apache Software Foundation View All	Amazon ElastiCache Amazon View All
Categories Embedded Database Supported Relational Database Supported SQL Databases Supported	Categories Application Server Supported Caching Supported In-Memory Databases Supported

Integrations SQL Supported .NET Not Supported 3forge Supported Amazon EMR Supported Apache Flume Supported Apache HBase Supported Apache Hive Supported Apache Spark Supported C# Not Supported Data Sentinel Supported Docker Not Supported Hadoop Supported JSON Not Supported Kestrel Not Supported LINQ Not Supported NoSQL Supported Python Supported Salesforce Data 360 Supported Trino Supported Visual Studio Not Supported Show More Integrations View All 13 Integrations	Integrations SQL Supported .NET Supported 3forge Not Supported Amazon EMR Not Supported Apache Flume Not Supported Apache HBase Not Supported Apache Hive Not Supported Apache Spark Not Supported C# Supported Data Sentinel Not Supported Docker Supported Hadoop Not Supported JSON Supported Kestrel Supported LINQ Supported NoSQL Not Supported Python Not Supported Salesforce Data 360 Not Supported Trino Not Supported Visual Studio Supported Show More Integrations View All 8 Integrations
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