DBMS > Apache Phoenix vs. Fauna vs. GraphDB vs. MariaDB vs. MongoDB
System Properties Comparison Apache Phoenix vs. Fauna vs. GraphDB vs. MariaDB vs. MongoDB
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Name | Apache Phoenix Xexclude from comparison | Fauna previously named FaunaDB Xexclude from comparison | GraphDB former name: OWLIM Xexclude from comparison | MariaDB Xexclude from comparison | MongoDB Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | A scale-out RDBMS with evolutionary schema built on Apache HBase | Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure. | Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL. | MySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL. | One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Relational DBMS | Document store Graph DBMS Relational DBMS Time Series DBMS | Graph DBMS RDF store | Relational DBMS | Document store | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Document store Graph DBMS with OQGraph storage engine Spatial DBMS | Spatial DBMS Search engine integrated Lucene index, currently in MongoDB Atlas only. Time Series DBMS Time Series Collections introduced in Release 5.0 Vector DBMS currently available in the MongoDB Atlas cloud service only | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | phoenix.apache.org | fauna.com | www.ontotext.com | mariadb.com Site of MariaDB Corporation mariadb.org Site of MariaDB Foundation | www.mongodb.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | phoenix.apache.org | docs.fauna.com | graphdb.ontotext.com/documentation | mariadb.com/kb/en/library | www.mongodb.com/docs/manual | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Developer | Apache Software Foundation | Fauna, Inc. | Ontotext | MariaDB Corporation Ab (MariaDB Enterprise), MariaDB Foundation (community MariaDB Server) The lead developer Monty Widenius is the original author of MySQL | MongoDB, Inc | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2014 | 2014 | 2000 | 2009 Fork of MySQL, which was first released in 1995 | 2009 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 5.0-HBase2, July 2018 and 4.15-HBase1, December 2019 | 10.4, October 2023 | 11.5.2, August 2024 | 7.0.5, January 2024 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | Open Source Apache Version 2.0 | commercial | commercial Some plugins of GraphDB Workbench are open sourced | Open Source GPL version 2, commercial enterprise subscription available | Open Source MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | no | yes | no | no | no MongoDB available as DBaaS (MongoDB Atlas) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed. | STACKIT MariaDB offers MariaDB in a fully managed version in enterprise grade, 100% GDPR-compliant. |
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Implementation language | Java | Scala | Java | C and C++ | C++ | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | Linux Unix Windows | hosted | All OS with a Java VM Linux OS X Windows | FreeBSD Linux Solaris Windows ColumnStore storage engine not available on Windows | Linux OS X Solaris Windows | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | yes late-bound, schema-on-read capabilities | schema-free | schema-free and OWL/RDFS-schema support; RDF shapes | yes Dynamic columns are supported | schema-free Although schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes | no | yes | yes | yes string, integer, double, decimal, boolean, date, object_id, geospatial | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT. | no | no | no | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes | yes | yes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | yes | no | stored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBC | yes with proprietary extensions | Read-only SQL queries via the MongoDB Atlas SQL Interface | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | JDBC | RESTful HTTP API | GeoSPARQL GraphQL GraphQL Federation Java API JDBC RDF4J API RDFS RIO Sail API Sesame REST HTTP Protocol SPARQL 1.1 | ADO.NET JDBC ODBC Proprietary native API | GraphQL HTTP REST Prisma proprietary protocol using JSON | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | C C# C++ Go Groovy Java PHP Python Scala | C# Go Java JavaScript Python Ruby Scala Swift | .Net C# Clojure Java JavaScript (Node.js) PHP Python Ruby Scala | Ada C C# C++ D Eiffel Erlang Go Haskell Java JavaScript (Node.js) Objective-C OCaml Perl PHP Python Ruby Scheme Tcl | Actionscript unofficial driver C C# C++ Clojure unofficial driver ColdFusion unofficial driver D unofficial driver Dart unofficial driver Delphi unofficial driver Erlang Go Groovy unofficial driver Haskell Java JavaScript Kotlin Lisp unofficial driver Lua unofficial driver MatLab unofficial driver Perl PHP PowerShell unofficial driver Prolog unofficial driver Python R unofficial driver Ruby Rust Scala Smalltalk unofficial driver Swift | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | user defined functions | user defined functions | well-defined plugin interfaces; JavaScript server-side extensibility | yes PL/SQL compatibility added with version 10.3 | JavaScript | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | no | no | no | yes | yes in MongoDB Atlas only | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | Sharding | horizontal partitioning consistent hashing | none | several options for horizontal partitioning and Sharding | Sharding Partitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | Multi-source replication Source-replica replication | Multi-source replication | Multi-source replication | Multi-source replication Source-replica replication | Multi-Source deployments with MongoDB Atlas Global Clusters Source-replica replication | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | Hadoop integration | no | no | no | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Immediate Consistency or Eventual Consistency | Immediate Consistency | Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request) | Immediate Consistency | Eventual Consistency can be individually decided for each read operation Immediate Consistency default behaviour | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | no | yes | yes Constraint checking | yes not for MyISAM storage engine | no typically not used, however similar functionality with DBRef possible | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID | ACID | ACID | ACID not for MyISAM storage engine | Multi-document ACID Transactions with snapshot isolation | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes | yes | yes not for in-memory storage engine | yes optional, enabled by default | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | yes | no | yes with MEMORY storage engine | yes In-memory storage engine introduced with MongoDB version 3.2 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | Access Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancy | Identity management, authentication, and access control | Default Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on. | fine grained access rights according to SQL-standard | Access rights for users and roles | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Apache Phoenix | Fauna previously named FaunaDB | GraphDB former name: OWLIM | MariaDB | MongoDB | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Specific characteristics | Ontotext GraphDB is a semantic database engine that allows organizations to build... » more | MariaDB is the most powerful open source relational database – modern SQL and JSON... » more | MongoDB provides an integrated suite of cloud database and data services to accelerate... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Competitive advantages | GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment... » more | MariaDB Servers have many features unavailable in other open source relational databases.... » more | Built around the flexible document data model and unified API, MongoDB is a developer... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typical application scenarios | Metadata enrichment and management, linked data publishing, semantic inferencing... » more | Web, SaaS and Cloud operational applications that require high availability, scalability... » more | AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Key customers | GraphDB provides a platform for building next-generation AI and Knowledge Graph... » more | Deutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured... » more | ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Market metrics | GraphDB is the most utilized semantic triplestore for mission-critical enterprise... » more | MariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,... » more | Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Licensing and pricing models | GraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition... » more | MariaDB plc subscriptions cover our free, open source database, Community Server,... » more | MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Apache Phoenix | Fauna previously named FaunaDB | GraphDB former name: OWLIM | MariaDB | MongoDB | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | Cloudera's HBase PaaS offering now supports Complex Transactions | MariaDB strengthens its position in the open source RDBMS market PostgreSQL is the DBMS of the Year 2017 Big gains for Relational Database Management Systems in DB-Engines Ranking | Snowflake is the DBMS of the Year 2021 PostgreSQL is the DBMS of the Year 2020 PostgreSQL is the DBMS of the Year 2018 Supercharge SQL on Your Data in Apache HBase with Apache Phoenix HBase With Apache Phoenix - A Beginner's Guide to Architecting Big Data Applications [Video] Deep dive into Azure HDInsight 4.0 Amazon EMR 4.7.0 – Apache Tez & Phoenix, Updates to Existing Apps Azure.Source – Volume 45 provided by Google News Fauna Adds Declarative Tool to Update Namesake Database CITES Database Reaches Over 25 Million Wildlife Trade Transactions Slicing the Gordian Knot: A leap to real-time systems of truth Fauna: An Introduction How Fauna looks to advance serverless database technology provided by Google News Semantic Web Company and Ontotext Merge to Create Knowledge Graph and AI Powerhouse Graphwise Semantic Web Company and Ontotext merge to form Graphwise A Content Management Platform and a Graph Database Come Together in the New Company: Graphwise Knowledge graphs change the nature of business intelligence Major AI Merger: Bulgarian Ontotext merges with Semantic Web Company to form Graphwise provided by Google News How do you solve a problem like MariaDB? Cozy up to the community, says new CEO K1 Acquires MariaDB, a Leading Database Software Company, and Appoints New CEO What’s in the cards for MariaDB? MariaDB goes private after acquisition by K1 Investment Management Private equity commits MariaDB takeover transaction provided by Google News The future of AI's data infrastructure: Unlocking the power of GenAI with MongoDB and Capgemini MongoDB (MDB) Stock Declines While Market Improves: Some Information for Investors MongoDB: Playing The Long Game In A Fiercely Competitive Market This Stock Is Crushing Salesforce, MongoDB And Snowflake In AI Revenue MongoDB says it’s winning with targeted commercial AI projects provided by Google News |
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