DBMS > Fauna vs. Geode vs. HarperDB vs. MariaDB vs. PostgreSQL
System Properties Comparison Fauna vs. Geode vs. HarperDB vs. MariaDB vs. PostgreSQL
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| Name | Fauna  previously named FaunaDB Xexclude from comparison | Geode Xexclude from comparison | HarperDB Xexclude from comparison | MariaDB Xexclude from comparison | PostgreSQL Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Description | 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. | Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processes | Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture. | 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. | Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Primary database model | Document store Graph DBMS Relational DBMS Time Series DBMS | Key-value store | Document store | Relational DBMS | Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary database models | Document store Graph DBMS with OQGraph storage engineSpatial DBMS | Document store Graph DBMS with Apache AgeSpatial DBMS Vector DBMS with pgvector extension | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Website | fauna.com | geode.apache.org | www.harperdb.io | mariadb.com Site of MariaDB Corporation mariadb.org Site of MariaDB Foundation | www.postgresql.org | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Technical documentation | docs.fauna.com | geode.apache.org/docs | docs.harperdb.io/docs | mariadb.com/kb/en/library | www.postgresql.org/docs | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Developer | Fauna, Inc. | Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire. | HarperDB | MariaDB Corporation Ab (MariaDB Enterprise), MariaDB Foundation (community MariaDB Server) The lead developer Monty Widenius is the original author of MySQL | PostgreSQL Global Development Group www.postgresql.org/developer | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Initial release | 2014 | 2002 | 2017 | 2009 Fork of MySQL, which was first released in 1995 | 1989 1989: Postgres, 1996: PostgreSQL | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Current release | 1.1, February 2017 | 3.1, August 2021 | 11.3.2, February 2024 | 16.3, May 2024 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| License Commercial or Open Source | commercial | Open Source Apache Version 2; commercial licenses available as Gemfire | commercial free community edition available | Open Source GPL version 2, commercial enterprise subscription available | Open Source BSD | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Cloud-based only Only available as a cloud service | yes | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 | Scala | Java | Node.js | C and C++ | C | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server operating systems | hosted | All OS with a Java VM the JDK (8 or later) is also required | Linux OS X | FreeBSD Linux Solaris Windows ColumnStore storage engine not available on Windows | FreeBSD HP-UX Linux NetBSD OpenBSD OS X Solaris Unix Windows | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Data scheme | schema-free | schema-free | dynamic schema | yes Dynamic columns are supported | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typing predefined data types such as float or date | no | yes | yes JSON data types | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 | yes specific XML-type available, but no XML query functionality. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary indexes | yes | no | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| SQL Support of SQL | no | SQL-like query language (OQL) | SQL-like data manipulation statements | yes with proprietary extensions | yes standard with numerous extensions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| APIs and other access methods | RESTful HTTP API | Java Client API Memcached protocol RESTful HTTP API | JDBC ODBC React Hooks RESTful HTTP/JSON API WebSocket | ADO.NET JDBC ODBC Proprietary native API | ADO.NET JDBC native C library ODBC streaming API for large objects | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Supported programming languages | C# Go Java JavaScript Python Ruby Scala Swift | .Net All JVM based languages C++ Groovy Java Scala | .Net C C# C++ ColdFusion D Dart Delphi Erlang Go Haskell Java JavaScript (Node.js) Lisp MatLab Objective C Perl PHP PowerShell Prolog Python R Ruby Rust Scala Swift | Ada C C# C++ D Eiffel Erlang Go Haskell Java JavaScript (Node.js) Objective-C OCaml Perl PHP Python Ruby Scheme Tcl | .Net C C++ Delphi Java JDBCJavaScript (Node.js) Perl PHP Python Tcl | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server-side scripts Stored procedures | user defined functions | user defined functions | Custom Functions since release 3.1 | yes PL/SQL compatibility added with version 10.3 | user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Triggers | no | yes Cache Event Listeners | no | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Partitioning methods Methods for storing different data on different nodes | horizontal partitioning consistent hashing | Sharding | A table resides as a whole on one (or more) nodes in a cluster | several options for horizontal partitioning and Sharding | partitioning by range, list and (since PostgreSQL 11) by hash | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Replication methods Methods for redundantly storing data on multiple nodes | Multi-source replication | Multi-source replication | yes the nodes on which a table resides can be defined | Multi-source replication Source-replica replication | Source-replica replication other methods possible by using 3rd party extensions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| MapReduce Offers an API for user-defined Map/Reduce methods | no | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Consistency concepts Methods to ensure consistency in a distributed system | Immediate Consistency | Eventual Consistency | Immediate Consistency | Immediate Consistency | Immediate Consistency | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Foreign keys Referential integrity | yes | no | no | yes not for MyISAM storage engine | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID | yes, on a single node | Atomic execution of specific operations | ACID not for MyISAM storage engine | ACID | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Concurrency Support for concurrent manipulation of data | yes | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Durability Support for making data persistent | yes | yes | yes, using LMDB | yes not for in-memory storage engine | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | no | yes | yes | yes with MEMORY storage engine | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| User concepts Access control | Identity management, authentication, and access control | Access rights per client and object definable | Access rights for users and roles | fine grained access rights according to SQL-standard | fine grained access rights according to SQL-standard | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| More information provided by the system vendor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Fauna previously named FaunaDB | Geode | HarperDB | MariaDB | PostgreSQL | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Specific characteristics | MariaDB is the most powerful open source relational database – modern SQL and JSON... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Competitive advantages | MariaDB Servers have many features unavailable in other open source relational databases.... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typical application scenarios | Web, SaaS and Cloud operational applications that require high availability, scalability... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Key customers | Deutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Market metrics | MariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Licensing and pricing models | MariaDB plc subscriptions cover our free, open source database, Community Server,... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Fauna previously named FaunaDB | Geode | HarperDB | MariaDB | PostgreSQL | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| DB-Engines blog posts | 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 | PostgreSQL is the DBMS of the Year 2023 Snowflake is the DBMS of the Year 2022, defending the title from last year Snowflake is the DBMS of the Year 2021 Slicing the Gordian Knot: A leap to real-time systems of truth Fauna Launches Distributed Document-Relational Database On Google Cloud Marketplace Fauna Adds Groundbreaking New Database Language and Seamless Developer Experience to Enterprise Proven ... Utah Natural Heritage Program CITES Trade Database surpasses 25 million trade transaction records provided by Google News This is how much one of the most expensive gems costs at the Tucson gem show 1. Introduction to Pivotal GemFire In-Memory Data Grid and Apache Geode - Scaling Data Services with Pivotal ... Event-Driven Architectures with Apache Geode and Spring Integration RDBMS and Apache Geode Data Movement: Low Latency ETL Pipeline by Using Cloud-Native Event Driven ... SD Times news digest: Google announces Prediction Framework; Flutter releases MIX; Apache news roundup provided by Google News Meet HarperDB, Winner of the Startups of the Year in Denver Startups of the Year 2023: Meet HarperDB - A Database and Application Development Platform Unlocking immersive golfing experiences with AWS Wavelength | Amazon Web Services A sharper HarperDB, connectivity done auspiciously Stephen Goldberg Named 2023 Bill Daniels Ethical Leader of the Year | CU Denver Business School News provided by Google News RECOMMENDED CASH OFFER for MARIADB plc by MERIDIAN BIDCO LLC which is an Affiliate of K1 INVESTMENT ... Progress outbids private equity in offer for MariaDB plc Struggling database company MariaDB could be taken private in $37M deal ServiceNow trades MariaDB for RaptorDB (PostgreSQL) Progress Software (PRGS) Has No Intention to Make an Offer for MariaDB plc provided by Google News How to implement a better like, views, comment counters in PostgreSQL? How LeadSquared accelerated chatbot deployments with generative AI using Amazon Bedrock and Amazon Aurora ... Introducing OCI Database with PostgreSQL: Completing Our Cloud Database Suite for Every Need At Build, Microsoft Fabric, PostgreSQL and Cosmos DB get AI enhancements Oracle Introduces PostgreSQL Running Native on OCI provided by Google News | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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