DBMS > FileMaker vs. Graphite vs. Microsoft Access vs. Microsoft Azure Cosmos DB vs. PostgreSQL
System Properties Comparison FileMaker vs. Graphite vs. Microsoft Access vs. Microsoft Azure Cosmos DB vs. PostgreSQL
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Name | FileMaker Xexclude from comparison | Graphite Xexclude from comparison | Microsoft Access Xexclude from comparison | Microsoft Azure Cosmos DB former name was Azure DocumentDB Xexclude from comparison | PostgreSQL Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | FileMaker is a cross-platform RDBMS that includes a GUI frontend. | Data logging and graphing tool for time series data The storage layer (fixed size database) is called Whisper | 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.) | Globally distributed, horizontally scalable, multi-model database service | Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Relational DBMS | Time Series DBMS | Relational DBMS | Document store Graph DBMS Key-value store 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Spatial DBMS | Document store Graph DBMS with Apache Age Spatial DBMS Vector DBMS with pgvector extension | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | www.claris.com/filemaker | github.com/graphite-project/graphite-web | www.microsoft.com/en-us/microsoft-365/access | azure.microsoft.com/services/cosmos-db | www.postgresql.org | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | www.claris.com/resources/documentation | graphite.readthedocs.io | developer.microsoft.com/en-us/access | learn.microsoft.com/azure/cosmos-db | www.postgresql.org/docs | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Developer | Claris a subsidiary of Apple | Chris Davis | Microsoft | Microsoft | PostgreSQL Global Development Group www.postgresql.org/developer | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 1983 | 2006 | 1992 | 2014 | 1989 1989: Postgres, 1996: PostgreSQL | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 19.4.1, November 2021 | 1902 (16.0.11328.20222), March 2019 | 16.4, August 2024 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | commercial | Open Source Apache 2.0 | commercial Bundled with Microsoft Office | commercial | Open Source BSD | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | no | no | no | yes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Implementation language | Python | C++ | C | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | iOS client part only Linux OS X Windows | Linux Unix | 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 | yes | yes | schema-free | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes | Numeric data only | yes | yes JSON types | 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. | yes A http query request can return the data in XML format | no | yes specific XML-type available, but no XML query functionality. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes | no | yes | yes All properties auto-indexed by default | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | yes via plugins | no | yes but not compliant to any SQL standard | SQL-like query language | yes standard with numerous extensions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | Filemaker WebDirect JDBC ODBC | HTTP API Sockets | ADO.NET DAO ODBC OLE DB | DocumentDB API Graph API (Gremlin) MongoDB API RESTful HTTP API Table API | ADO.NET JDBC native C library ODBC streaming API for large objects | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | PHP | JavaScript (Node.js) Python | C C# C++ Delphi Java (JDBC-ODBC) VBA Visual Basic.NET | .Net C# Java JavaScript JavaScript (Node.js) MongoDB client drivers written for various programming languages Python | .Net C C++ Delphi Java JDBC JavaScript (Node.js) Perl PHP Python Tcl | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | yes | no | yes since Access 2010 using the ACE-engine | JavaScript | user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | yes | no | yes since Access 2010 using the ACE-engine | JavaScript | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | none | none | none | Sharding Implicit feature of the cloud service | partitioning by range, list and (since PostgreSQL 11) by hash | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | Source-replica replication, warm standby since Version 14 | none | none | yes Implicit feature of the cloud service | Source-replica replication other methods possible by using 3rd party extensions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | no | no | no | with Hadoop integration Integration with Hadoop/HDInsight on Azure* | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | none | Bounded Staleness Consistent Prefix Eventual Consistency Immediate Consistency Consistency level configurable on request level Session Consistency | Immediate Consistency | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | yes | no | yes | no | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | no | no | ACID but no files for transaction logging | Multi-item ACID transactions with snapshot isolation within a partition | ACID | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes | yes locking | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes | yes but no files for transaction logging | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | simple rights management via user accounts and connection to external directory services | no | no a simple user-level security was built in till version Access 2003 | Access rights can be defined down to the item level | fine grained access rights according to SQL-standard | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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FileMaker | Graphite | Microsoft Access | Microsoft Azure Cosmos DB former name was Azure DocumentDB | PostgreSQL | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | Time Series DBMS are the database category with the fastest increase in popularity Time Series DBMS as a new trend? | 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 PASS Data Community Summit Problemista - Features Efficiency leap: Migration from old FileMaker software to gFM-Business increases company performance Tilda Swinton Wasn’t Prepared for ‘Problemista’ Horror Stories from Audiences Who Recognize Her Toxic Art World Character Apple subsidiary FileMaker returns to its original name from the ’80s Claris FileMaker Pro 19 review provided by Google News Try out the Graphite monitoring tool for time-series data The Billion Data Point Challenge: Building a Query Engine for High Cardinality Time Series Data Getting Started with Monitoring using Graphite Most Prominent Time Series Databases For Data Scientists Real-Time Performance and Health Monitoring Using Netdata provided by Google News I live with MS: Access to affordable healthcare is my lifeline | Opinion Abusing Microsoft Access "Linked Table" Feature to Perform NTLM Forced Authentication Attacks Hackers Exploit Microsoft Access Feature to Steal Windows User’s NTLM Tokens Access Migration to Power Apps and Dataverse is released to General Availability ENGINEERING/PROJECT SOFTWARE: Program eases access to project data provided by Google News Start your AI journey with Microsoft Azure Cosmos DB—compete for $10K Public Preview: DiskANN vector indexing and search in Azure Cosmos DB NoSQL Public preview: Filtered vector search in vCore-based Azure Cosmos DB for MongoDB Public Preview: vCore-based Azure Cosmos DB for MongoDB cross-region disaster recovery (DR) General availability: Azure Cosmos DB for PostgreSQL geo-redundant backup and restore provided by Google News Migrate SQL Server databases to Babelfish for Aurora PostgreSQL using change tracking with a linked server Supabase raises $80m to expand PostgreSQL platform PostgreSQL tutorial: Get started with PostgreSQL 16 PostgreSQL databases under attack MongoDB takes a swing at PostgreSQL after claiming wins against rival provided by Google News |
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