Apache Phoenix vs. IBM Cloud SQL Query Comparison


Apache Phoenix Apache Software Foundation	IBM Cloud SQL Query IBM	+	+
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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 Serverless, interactive querying for analyzing data in IBM Cloud Object Storage. Query your data directly where it is stored, there's no ETL, no databases, and no infrastructure to manage. IBM Cloud SQL Query uses Apache Spark, an open-source, fast, extensible, in-memory data processing engine optimized for low latency and ad hoc analysis of data. No ETL or schema definition needed to enable SQL queries. Analyze data where it sits in IBM Cloud Object Storage using our query editor and REST API. Run as many queries as you need; with pay-per-query pricing, you pay only for the data scan. Compress or partition data to drive savings and performance. IBM Cloud SQL Query is highly available and executes queries using compute resources across multiple facilities. IBM Cloud SQL Query supports a variety of data formats such as CSV, JSON and Parquet, and allows for standard ANSI SQL.
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 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 All types of businesses and organizations requiring a solution to query their data directly where it is stored
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Supported Online Supported
API Offers API Supported	API Offers API 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 $5.00/Terabyte-Month Free Version Supported Free Trial 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 Supported Live Online Supported In Person Supported
Company Information Apache Software Foundation phoenix.apache.org	Company Information IBM Founded: 1911 United States www.ibm.com/cloud/sql-query
Alternatives CUBRID	Alternatives Apache DataFusion Apache Software Foundation
Apache Trafodion Apache Software Foundation	Apache Druid Druid
Apache Spark Apache Software Foundation	TimescaleDB Tiger Data
HugeGraph	Apache Phoenix Apache Software Foundation
Apache Derby Apache View All	Infobright DB IgniteTech View All
Categories Embedded Database Supported Relational Database Supported SQL Databases Supported	Categories Relational Database Supported
	Relational Database Features ACID Compliance Supported Data Failure Recovery Supported Multi-Platform Supported Referential Integrity Supported SQL DDL Support Supported SQL DML Support Supported System Catalog Supported Unicode Support Supported
Integrations Apache Spark Supported Data Sentinel Supported 3forge Supported Amazon EMR Supported Apache Flume Supported Apache HBase Supported Apache Hive Supported Autymate Not Supported Hadoop Supported IBM Cloud Object Storage Not Supported Lyftrondata Not Supported NoSQL Supported Python Supported SQL Supported Salesforce Data 360 Supported Trino Supported Show More Integrations View All 13 Integrations	Integrations Apache Spark Supported Data Sentinel Supported 3forge Not Supported Amazon EMR Not Supported Apache Flume Not Supported Apache HBase Not Supported Apache Hive Not Supported Autymate Supported Hadoop Not Supported IBM Cloud Object Storage Supported Lyftrondata Supported NoSQL Not Supported Python Not Supported SQL Not Supported Salesforce Data 360 Not Supported Trino Not Supported Show More Integrations View All 5 Integrations
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