Apache Phoenix vs. ZeusDB Comparison


Apache Phoenix Apache Software Foundation	ZeusDB	+	+
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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 ZeusDB is a next-generation, high-performance data platform designed to handle the demands of modern analytics, machine learning, real-time insights, and hybrid data workloads. It supports vector, structured, and time-series data in one unified engine, allowing recommendation systems, semantic search, retrieval-augmented generation pipelines, live dashboards, and ML model serving to operate from a single store. The platform delivers ultra-low latency querying and real-time analytics, eliminating the need for separate databases or caching layers. Developers and data engineers can extend functionality with Rust or Python logic, deploy on-premises, hybrid, or cloud, and operate under GitOps/CI-CD patterns with observability built in. With built-in vector indexing (e.g., HNSW), metadata filtering, and powerful query semantics, ZeusDB enables similarity search, hybrid retrieval, filtering, and rapid application iteration.
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 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 teams, machine-learning engineers and analytics-driven businesses in search of a solution providing vector search, hybrid analytics and real-time insights across structured and unstructured data
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 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 Supported In Person Not Supported
Company Information Apache Software Foundation phoenix.apache.org	Company Information ZeusDB Founded: 2012 United States www.zeusdb.com
Alternatives CUBRID	Alternatives Weaviate
Apache Trafodion Apache Software Foundation	Qdrant
HugeGraph	Actian VectorAI DB Actian
Apache Spark Apache Software Foundation	Tiger Data
Apache Derby Apache View All	Amazon S3 Vectors Amazon View All
Categories Embedded Database Supported Relational Database Supported SQL Databases Supported	Categories Relational Database Supported Vector Databases Supported

Integrations Python Supported 3forge Supported Amazon EMR Supported Apache Flume Supported Apache HBase Supported Apache Hive Supported Apache Spark Supported Data Sentinel Supported Hadoop Supported LangChain Not Supported NoSQL Supported Rust Not Supported SQL Supported Salesforce Data 360 Supported Trino Supported Show More Integrations View All 13 Integrations	Integrations Python Supported 3forge Not Supported Amazon EMR Not Supported Apache Flume Not Supported Apache HBase Not Supported Apache Hive Not Supported Apache Spark Not Supported Data Sentinel Not Supported Hadoop Not Supported LangChain Supported NoSQL Not Supported Rust Supported SQL Not Supported Salesforce Data 360 Not Supported Trino Not Supported Show More Integrations View All 3 Integrations
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