Apache Phoenix vs. OLake Fusion Comparison


Apache Phoenix Apache Software Foundation	OLake Fusion Datazip	+	+
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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 OLake Fusion is a self-hosted application for maintaining Apache Iceberg tables in data lakehouses. It automates scheduled table compaction, merging small data files and converting delete files to improve table layout as data is continuously ingested, updated, or deleted. Users can configure maintenance at the table level and schedule Lite, Medium, and Full compaction tiers, review table health and file metrics, and track maintenance runs and logs through a web UI. Fusion connects to Iceberg catalogs, including AWS Glue, Hive Metastore, JDBC, and REST-based catalog implementations such as Nessie, Polaris, Unity Catalog, and Lakekeeper, and can maintain tables created outside OLake. It is deployed on Docker or Kubernetes in a team's cloud or on-premises environment, and is designed for data engineers and platform teams operating analytical lakehouses with Apache Iceberg.
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 Not Supported Mac Not Supported Linux Not 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 Data engineers and data platform teams operating Apache Iceberg lakehouses, particularly those maintaining tables with continuous ingestion, updates, or deletes.
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 $0 The open-source software has no license charge; customers pay for the compute and storage they provision. 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 Datazip United States olake.io/olake-fusion/
Alternatives CUBRID	Alternatives IOMETE
Apache Trafodion Apache Software Foundation	OLake Go Datazip
HugeGraph	Apache Iceberg Apache Software Foundation
Apache Derby Apache	Onehouse
Apache Spark Apache Software Foundation View All	Google Cloud Lakehouse Google View All
Categories Embedded Database Supported Relational Database Supported SQL Databases Supported	Categories Data Lake Supported

Integrations Apache Hive Supported 3forge Supported AWS Glue Not Supported Amazon EMR Supported Apache Flume Supported Apache HBase Supported Apache Iceberg Not Supported Apache Spark Supported Data Sentinel Supported Hadoop Supported NoSQL Supported OLake Go Not Supported Python Supported SQL Supported Salesforce Data 360 Supported Trino Supported Unity Catalog Not Supported Show More Integrations View All 13 Integrations	Integrations Apache Hive Supported 3forge Not Supported AWS Glue Supported Amazon EMR Not Supported Apache Flume Not Supported Apache HBase Not Supported Apache Iceberg Supported Apache Spark Not Supported Data Sentinel Not Supported Hadoop Not Supported NoSQL Not Supported OLake Go Supported Python Not Supported SQL Not Supported Salesforce Data 360 Not Supported Trino Not Supported Unity Catalog Supported Show More Integrations View All 5 Integrations
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