DBMS > MariaDB vs. Microsoft Access vs. Microsoft Azure Table Storage vs. PostgreSQL vs. Weaviate
System Properties Comparison MariaDB vs. Microsoft Access vs. Microsoft Azure Table Storage vs. PostgreSQL vs. Weaviate
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Name | MariaDB Xexclude from comparison | Microsoft Access Xexclude from comparison | Microsoft Azure Table Storage Xexclude from comparison | PostgreSQL Xexclude from comparison | Weaviate Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | 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. | Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. The Access frontend is often used for accessing other datasources (DBMS, Excel, etc.) | A Wide Column Store for rapid development using massive semi-structured datasets | Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL | An AI-native realtime vector database engine that integrates scalable machine learning models. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Relational DBMS | Relational DBMS | Wide column store | Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module. | Vector DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Document store Graph DBMS with OQGraph storage engine Spatial DBMS | Document store Graph DBMS with Apache Age Spatial DBMS Vector DBMS with pgvector extension | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | mariadb.com Site of MariaDB Corporation mariadb.org Site of MariaDB Foundation | www.microsoft.com/en-us/microsoft-365/access | azure.microsoft.com/en-us/services/storage/tables | www.postgresql.org | github.com/weaviate/weaviate weaviate.io | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | mariadb.com/kb/en/library | developer.microsoft.com/en-us/access | www.postgresql.org/docs | weaviate.io/developers/weaviate | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Developer | MariaDB Corporation Ab (MariaDB Enterprise), MariaDB Foundation (community MariaDB Server) The lead developer Monty Widenius is the original author of MySQL | Microsoft | Microsoft | PostgreSQL Global Development Group www.postgresql.org/developer | Weaviate B.V. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2009 Fork of MySQL, which was first released in 1995 | 1992 | 2012 | 1989 1989: Postgres, 1996: PostgreSQL | 2019 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 11.3.2, February 2024 | 1902 (16.0.11328.20222), March 2019 | 16.3, May 2024 | 1.19, May 2023 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | Open Source GPL version 2, commercial enterprise subscription available | commercial Bundled with Microsoft Office | commercial | Open Source BSD | Open Source commercial license available with Weaviate Enterprise | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | no | no | yes | 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 | C and C++ | C++ | C | Go | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | FreeBSD Linux Solaris Windows ColumnStore storage engine not available on Windows | Windows Not a real database server, but making use of DLLs | hosted | FreeBSD HP-UX Linux NetBSD OpenBSD OS X Solaris Unix Windows | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | yes Dynamic columns are supported | yes | schema-free | yes | yes, maps to GraphQL interface | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes | yes | yes | yes | yes string, int, float, geo point, date, cross reference, fuzzy references | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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. | yes | no | yes specific XML-type available, but no XML query functionality. | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes | yes | no | yes | yes all data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | yes with proprietary extensions | yes but not compliant to any SQL standard | no | yes standard with numerous extensions | GraphQL is used as query language | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | ADO.NET JDBC ODBC Proprietary native API | ADO.NET DAO ODBC OLE DB | RESTful HTTP API | ADO.NET JDBC native C library ODBC streaming API for large objects | GraphQL query language RESTful HTTP/JSON API | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | Ada C C# C++ D Eiffel Erlang Go Haskell Java JavaScript (Node.js) Objective-C OCaml Perl PHP Python Ruby Scheme Tcl | C C# C++ Delphi Java (JDBC-ODBC) VBA Visual Basic.NET | .Net C# C++ Java JavaScript (Node.js) PHP Python Ruby | .Net C C++ Delphi Java JDBC JavaScript (Node.js) Perl PHP Python Tcl | JavaScript / TypeScript Python | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | yes PL/SQL compatibility added with version 10.3 | yes since Access 2010 using the ACE-engine | no | user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc. | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | yes | yes since Access 2010 using the ACE-engine | no | yes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | several options for horizontal partitioning and Sharding | none | Sharding Implicit feature of the cloud service | partitioning by range, list and (since PostgreSQL 11) by hash | Sharding | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | Multi-source replication Source-replica replication | none | yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant. | Source-replica replication other methods possible by using 3rd party extensions | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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 | Immediate Consistency | Immediate Consistency | Eventual Consistency | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | yes not for MyISAM storage engine | yes | no | yes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID not for MyISAM storage engine | ACID but no files for transaction logging | optimistic locking | ACID | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes not for in-memory storage engine | yes but no files for transaction logging | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | yes with MEMORY storage engine | no | no | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | fine grained access rights according to SQL-standard | no a simple user-level security was built in till version Access 2003 | Access rights based on private key authentication or shared access signatures | fine grained access rights according to SQL-standard | API Keys OpenID Connect Discovery | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
More information provided by the system vendor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MariaDB | Microsoft Access | Microsoft Azure Table Storage | PostgreSQL | Weaviate | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Specific characteristics | MariaDB is the most powerful open source relational database – modern SQL and JSON... » more | Weaviate is an open source vector database that is robust, scalable, cloud-native,... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Competitive advantages | MariaDB Servers have many features unavailable in other open source relational databases.... » more | Flexible deployment - Free, open source or fully-managed cloud vector database service... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typical application scenarios | Web, SaaS and Cloud operational applications that require high availability, scalability... » more | As a database supporting the development of generative AI and semantic search applications... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Key customers | Deutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured... » more | All companies that have data. » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Market metrics | MariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,... » more | As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Licensing and pricing models | MariaDB plc subscriptions cover our free, open source database, Community Server,... » more | Weaviate is open-source, and free to use. Weaviate is also available as a fully managed... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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3rd parties | Navicat for MariaDB provides a native environment for MariaDB database management and development. » more | SharePlex is the reliable and affordable data replication solution for PostgreSQL migrations, high availability and more.
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MariaDB | Microsoft Access | Microsoft Azure Table Storage | PostgreSQL | Weaviate | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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 | MS Access drops in DB-Engines Ranking Microsoft SQL Server regained rank 2 in the DB-Engines popularity ranking New DB-Engines Ranking shows the popularity of database management systems | 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 | Weaviate, an ANN Database with CRUD support RECOMMENDED CASH OFFER for MARIADB PLC by MERIDIAN BIDCO LLC which is an Affiliate of K1 INVESTMENT ... MariaDB plc: Shareholders speak, but execs are quiet Private equity offer for MariaDB gets thumbsup from shareholders MariaDB (NYSE:MRDB) Shares Up 1.1% MariaDB shareholders approve private equity takeover provided by Google News Abusing Microsoft Access "Linked Table" Feature to Perform NTLM Forced Authentication Attacks - Check Point Research Hackers Exploit Microsoft Access Feature to Steal Windows User’s NTLM Tokens MS access program to increase awareness and independence of those living with MS and disability How to Connect MS Access to MySQL via ODBC Driver People living with MS who are severely immunocompromised can access newly funded shingles vaccine provided by Google News Working with Azure to Use and Manage Data Lakes Azure Cosmos DB Data Migration tool imports from Azure Table storage | Azure updates How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB How to use Azure Table storage in .Net How to write data to Azure Table Store with an Azure Function provided by Google News Deep PostgreSQL Thoughts: Valuing Currency EDB unveils EDB Postgres AI At Build, Microsoft Fabric, PostgreSQL and Cosmos DB get AI enhancements Introducing OCI Database with PostgreSQL: Completing Our Cloud Database Suite for Every Need Automatically Generate Types for Your PostgreSQL Database provided by Google News Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector ... Weaviate Partners with Snowflake to Bring Secure GenAI to Snowpark Container Services Foley Represents Cortical Ventures in $50M Series B Round for Weaviate Getting Started with Weaviate: A Beginner's Guide to Search with Vector Databases Weaviate Raises $50 Million Series B Funding to Meet Soaring Demand for AI Native Vector Database Technology ... provided by Google News |
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