[Home](https://www.selecthub.com/) \> [Relational Databases](https://www.selecthub.com/c/relational-database-solutions/) \> Apache Phoenix Categories: * [Relational Databases](https://www.selecthub.com/c/relational-database-solutions/) * [...](#) ## What Is Apache Phoenix? **Industry Specialties:** Serves all industries. Apache Phoenix serves as a robust SQL layer built on top of HBase, enabling users to execute standard SQL queries on large-scale NoSQL databases. It is particularly well-suited for organizations in industries such as finance, telecommunications, and e-commerce that require real-time analytics and efficient management of vast datasets. One of its standout benefits is the ability to perform low-latency queries while seamlessly integrating with the Hadoop ecosystem, which enhances its appeal for big data applications. Phoenix offers powerful features like secondary indexing, upserts, transaction support, and bulk data ingestion, which contribute to its flexibility and scalability. Compared to traditional relational databases, users find Phoenix to be more adaptable and performant, especially when dealing with massive amounts of data. Pricing information is not typically publicly available, so it is recommended to contact SelectHub for a tailored quote based on specific requirements. PRICE $ $ $ $ $ COMPANY SIZE S M L DEPLOYMENT PLATFORM [ Try Before You Buy. Request a Free Demo Today! Request Demo It's completely free! ](https://pmo.selecthub.com/get-product-demo/?category=Relational+Databases&product%5Fname=Apache%2BPhoenix&origin%5Furl=https%3A%2F%2Fwww.selecthub.com%2Fp%2Frelational-database-solutions%2Fapache-phoenix%2F&product%5Flogo=https%3A%2F%2Fcdn.selecthub.com%2Fproducts%2F6828f61cee49c7a4da0f9c1d3e03b857-9c1e156a76042c6a010ee0e117f3c830%2Fresources%2Fnormal%2Flogo.png%3F1693318213) User Sentiment i ![User satisfaction level icon: good]() Based on 27 reviews: Add your rating: ![Screenshots]()![Screenshots]()![Screenshots]()![Screenshots]()![Screenshots]()![Screenshots]()![Screenshots]()![Screenshots]()![Screenshots]() Product Screenshots and Videos ## #13 Apache Phoenix is ranked #13 in the Relational Databases product directory based on the latest available data collected by SelectHub. Compare the leaders with our In-Depth Report. [ Get the Report Now](https://pmo.selecthub.com/request-custom-scorecard?category%5Fslug=relational-database-solutions&product%5Fslug=apache-phoenix&page%5Ftype=product&slug=apache-phoenix&product%5Fname=Apache+Phoenix&category=Relational+Databases&origin%5Furl=https%3A%2F%2Fwww.selecthub.com%2Fp%2Frelational-database-solutions%2Fapache-phoenix%2F) ## Apache Phoenix Pricing Based on our most recent analysis, Apache Phoenix pricing starts at $0 (Free, Open-Source). [Get Price Quote](https://pmo.selecthub.com/get-product-pricing/?category=Relational+Databases&product%5Fname=Apache%2BPhoenix&origin%5Furl=https%3A%2F%2Fwww.selecthub.com%2Fp%2Frelational-database-solutions%2Fapache-phoenix%2F&product%5Flogo=https%3A%2F%2Fcdn.selecthub.com%2Fproducts%2F6828f61cee49c7a4da0f9c1d3e03b857-9c1e156a76042c6a010ee0e117f3c830%2Fresources%2Fnormal%2Flogo.png%3F1693318213&price=1) Price $ $ $ $ $ i Starting From $0 Pricing Model Free, Open-Source Free Trial Yes ([Request for Free](https://pmo.selecthub.com/free-trial/?product%5Fname=Apache+Phoenix&category=Relational+Databases&product%5Flogo=https://cdn.selecthub.com/products/6828f61cee49c7a4da0f9c1d3e03b857-9c1e156a76042c6a010ee0e117f3c830/resources/normal/logo.png?1693318213)) ## Training Resources Apache Phoenix is supported with the following types of training: Documentation In Person Live Online Videos Webinars ## Support The following support services are available for Apache Phoenix: Email Phone Chat FAQ Forum Help Desk Knowledge Base Tickets Training 24/7 Live Support ## Apache Phoenix Benefits and Insights Why use Apache Phoenix? ### Key differentiators & advantages of Apache Phoenix * **Seamless Integration:** Apache Phoenix integrates smoothly with Hadoop ecosystems, allowing users to leverage existing HBase installations for SQL-like querying without additional infrastructure. * **SQL Compatibility:** Offers a familiar SQL interface, enabling users to perform complex queries and analytics on HBase data, reducing the learning curve for those accustomed to traditional RDBMS. * **Performance Optimization:** Utilizes query optimization techniques such as parallel execution and custom coprocessors to enhance performance, making it suitable for real-time analytics. * **Scalability:** Built on top of HBase, Phoenix inherits its scalability, allowing it to handle large datasets efficiently across distributed environments. * **Transactional Support:** Provides ACID transaction capabilities, ensuring data integrity and consistency across operations, which is crucial for enterprise applications. * **Flexible Schema Management:** Supports dynamic schema evolution, enabling users to modify table structures without downtime, which is essential for agile development environments. * **Cost Efficiency:** By leveraging existing Hadoop infrastructure, Phoenix reduces the need for additional database systems, lowering operational costs and simplifying maintenance. * **Rich Data Types:** Supports a wide range of data types, including arrays and user-defined types, allowing for more complex data modeling and storage solutions. * **Advanced Indexing:** Offers secondary indexing capabilities, improving query performance by allowing faster data retrieval based on indexed columns. * **Community and Support:** Backed by a strong open-source community, providing extensive documentation, forums, and regular updates, ensuring users have access to the latest features and support. * **Integration with BI Tools:** Compatible with various business intelligence tools, facilitating seamless data visualization and reporting for enhanced decision-making. * **Security Features:** Supports integration with Kerberos and other security frameworks, ensuring secure access and data protection in enterprise environments. * **Time Series Data Handling:** Optimized for time series data, making it ideal for applications like IoT analytics and monitoring systems where time-based data is prevalent. * **Data Locality:** Leverages HBase's data locality features to minimize data movement across the network, enhancing query performance and reducing latency. * **Custom Functionality:** Allows users to define custom functions and aggregates, providing flexibility to tailor the system to specific business needs and analytical requirements. ### Industry Expertise Apache Phoenix is particularly well-suited for organizations that need to manage large datasets with high performance and low latency, especially those already using HBase as their data store. It's a good choice for companies that require a SQL interface for their data analytics and operational needs, allowing them to leverage the power of HBase without needing to write complex NoSQL queries. ## Apache Phoenix Reviews Based on our most recent analysis, Apache Phoenix reviews indicate a 'good' User Satisfaction Rating of 74% based on 27 user reviews from 1 recognized software review sites. ![User satisfaction level icon: good]() 27 reviews 74% of users would recommend this product ### Synopsis of User Ratings and Reviews Based on an aggregate of Apache Phoenix reviews taken from the sources above, the following pros & cons have been curated by a SelectHub Market Analyst. #### Pros * **Familiar SQL Syntax:** Allows users familiar with SQL to interact with large datasets in HBase without needing to learn a new query language. * **Fast Data Access:** Users report that Apache Phoenix delivers low latency, high-throughput data access, making it suitable for operational analytics and other real-time use cases. * **Integration with Hadoop Ecosystem:** Works seamlessly with other Hadoop ecosystem tools, such as Spark and Hive, making it a versatile choice for organizations already invested in Hadoop. #### Cons * **Setup and Tuning Complexity:** User reviews indicate that setting up and fine-tuning Apache Phoenix can be challenging, especially for users accustomed to traditional relational databases. * **Secondary Index Performance:** While secondary indexes can improve query performance, users have reported difficulties in optimizing their use, sometimes leading to performance bottlenecks. * **Expensive Join Operations:** As a database built on top of a NoSQL store, join operations in Apache Phoenix can be computationally expensive, impacting the performance of queries that require joining data from multiple tables. #### Researcher's Summary: Is Apache Phoenix a phoenix rising from the ashes, or is it going up in smoke? Apache Phoenix receives a moderate rating of 3.7 out of 5 stars from users, indicating a mixed bag of experiences. Users praise its ability to bridge the SQL-NoSQL gap, allowing them to use familiar SQL queries with NoSQL databases like HBase. This is particularly beneficial for organizations with existing SQL expertise looking to leverage the scalability and flexibility of NoSQL. However, users also highlight challenges such as the steep learning curve associated with setup and performance tuning, especially when dealing with large datasets and secondary indexes. This complexity can lead to increased development time and potential performance bottlenecks if not handled properly. Overall, Apache Phoenix is best suited for organizations comfortable with a bit of a learning curve and needing to run SQL queries on large datasets stored in HBase. Its ability to bridge the SQL-NoSQL gap is a significant advantage, but its complexity requires careful consideration and expertise to fully leverage its capabilities. ## Key Features * **User-Defined Functions (UDFs):** Create and deploy temporary, permanent or domain-specific scalar functions to the cluster. The same UDFs can act as built-in functions - upsert, delete and insert. * **Data Access:** Secondary indexing helps access data from its primary pathway. It develops an alternate row key that allows point lookups to find their way through a new axis. Create indexes over both mutable and immutable data. * **Covered Indexes:** Includes primary, secondary and any data table key columns to cover queries. * **Functional Indexes:** Create indexes on columns and arbitrary expressions. * **Local Indexing:** Supports indexing for use cases that are space-constrained and write-heavy. Also allows indexing if the query is not fully covered. * **Global Indexing:** Supports indexing for read-heavy use cases to select the index table to use that will produce the fastest query time. * **Schema Mapping:** Create a schema mapped to the namespace of HBase instead of assigning a default namespace to every table. * **Bulk Loader:** Supports bulk loading of CSV files into HBase using a client-side script or MapReduce. * **Multi-Tenancy:** Different tenants can create independent views of the same physical HBase table. Possible only on a per-connection basis. * **Table Sample:** Restricts the returning of rows from a table, similarly to T-SQL syntax and PostgreSQL. ## Limitations At the time of this review, these are the limitations according to user feedback: * Limited support for CROSS JOIN and FULL OUTER JOIN. * Client-side batching lacks proper transaction support. * Can’t access data from different sources; only data stored in HBase is accessible. ## Suite Support Before creating a support ticket, it is best to discuss the issues on the public mailing list. The vendor has separate mailing lists - user, developer, private and commits for different queries. Each of these mailing lists has a subscribe, an unsubscribe and a post link. Subscribe to the required link source for issue resolution. _mail\_outline_Email: Not specified. _phone_Phone: Not specified. _school_Training: Not available from the vendor. Instead, enroll in courses to receive training from a certified credentialing body. _local\_offer_Tickets: Submit a support ticket after logging in to the vendor’s portal. ## Head-to-Head Comparison ![Apache Phoenix Software Tool]() vs * [Amazon Aurora](https://www.selecthub.com/relational-database-solutions/amazon-aurora-vs-apache-phoenix/) * [Amazon RDS](https://www.selecthub.com/relational-database-solutions/amazon-rds-vs-apache-phoenix/) * [Azure SQL Database](https://www.selecthub.com/relational-database-solutions/azure-sql-database-vs-apache-phoenix/) * [Firebird](https://www.selecthub.com/relational-database-solutions/apache-phoenix-vs-firebird-database/) * [Google Cloud SQL](https://www.selecthub.com/relational-database-solutions/google-cloud-sql-vs-apache-phoenix/) * [HSQLDB](https://www.selecthub.com/relational-database-solutions/apache-phoenix-vs-hsqldb/) * [IBM DB2](https://www.selecthub.com/relational-database-solutions/ibm-db2-vs-apache-phoenix/) * [MariaDB](https://www.selecthub.com/relational-database-solutions/mariadb-vs-apache-phoenix/) * [MySQL](https://www.selecthub.com/relational-database-solutions/mysql-vs-apache-phoenix/) * [Oracle Database](https://www.selecthub.com/relational-database-solutions/oracle-database-vs-apache-phoenix/) * [PostgreSQL](https://www.selecthub.com/relational-database-solutions/postgresql-vs-apache-phoenix/) * [SAP ASE](https://www.selecthub.com/relational-database-solutions/apache-phoenix-vs-sap-ase/) * [SAP HANA Cloud](https://www.selecthub.com/relational-database-solutions/sap-hana-cloud-vs-apache-phoenix/) * [SQL Server](https://www.selecthub.com/relational-database-solutions/sql-server-vs-apache-phoenix/) * [SQLite](https://www.selecthub.com/relational-database-solutions/sqlite-vs-apache-phoenix/) ## Similar Products Here are the most similar products to Apache Phoenix. [ HSQLDB ](https://www.selecthub.com/p/relational-database-solutions/hsqldb/) [ Firebird ](https://www.selecthub.com/p/relational-database-solutions/firebird-database/) [ SAP HANA Cloud ](https://www.selecthub.com/p/relational-database-solutions/sap-hana-cloud/) [ Google Cloud SQL ](https://www.selecthub.com/p/relational-database-solutions/google-cloud-sql/) [ Azure SQL Database ](https://www.selecthub.com/p/relational-database-solutions/azure-sql-database/) [ Amazon Aurora ](https://www.selecthub.com/p/relational-database-solutions/amazon-aurora/) [ Amazon RDS ](https://www.selecthub.com/p/relational-database-solutions/amazon-rds/) [ Oracle Database ](https://www.selecthub.com/p/relational-database-solutions/oracle-database/) [ MariaDB ](https://www.selecthub.com/p/relational-database-solutions/mariadb/) [ PostgreSQL ](https://www.selecthub.com/p/relational-database-solutions/postgresql/) Your review has been submitted and should be visible within 24 hours. 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It is particularly well-suited for organizations in industries such as finance, telecommunications, and e-commerce that require real-time analytics and efficient management of vast datasets. One of its standout benefits is the ability to perform low-latency queries while seamlessly integrating with the Hadoop ecosystem, which enhances its appeal for big data applications. Phoenix offers powerful features like secondary indexing, upserts, transaction support, and bulk data ingestion, which contribute to its flexibility and scalability. Compared to traditional relational databases, users find Phoenix to be more adaptable and performant, especially when dealing with massive amounts of data. Pricing information is not typically publicly available, so it is recommended to contact SelectHub for a tailored quote based on specific requirements. 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