DBMS > Alibaba Cloud AnalyticDB for MySQL vs. MarkLogic vs. Microsoft Access vs. OpenTSDB vs. PostgreSQL
System Properties Comparison Alibaba Cloud AnalyticDB for MySQL vs. MarkLogic vs. Microsoft Access vs. OpenTSDB vs. PostgreSQL
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Name | Alibaba Cloud AnalyticDB for MySQL Xexclude from comparison | MarkLogic Xexclude from comparison | Microsoft Access Xexclude from comparison | OpenTSDB Xexclude from comparison | PostgreSQL Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | A real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol. | Operational and transactional Enterprise NoSQL database | 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.) | Scalable Time Series DBMS based on HBase | Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Relational DBMS | Document store Native XML DBMS RDF store as of version 7 Search engine | Relational DBMS | Time Series 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 | Document store Graph DBMS with Apache Age Spatial DBMS Vector DBMS with pgvector extension | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | www.alibabacloud.com/product/analyticdb-for-mysql | www.marklogic.com | www.microsoft.com/en-us/microsoft-365/access | opentsdb.net | www.postgresql.org | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | www.alibabacloud.com/help/doc-detail/93776.htm | docs.marklogic.com | developer.microsoft.com/en-us/access | opentsdb.net/docs/build/html/index.html | www.postgresql.org/docs | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Developer | Alibaba | MarkLogic Corp. | Microsoft | currently maintained by Yahoo and other contributors | PostgreSQL Global Development Group www.postgresql.org/developer | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2001 | 1992 | 2011 | 1989 1989: Postgres, 1996: PostgreSQL | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 11.0, December 2022 | 1902 (16.0.11328.20222), March 2019 | 16.2, February 2024 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | commercial | commercial restricted free version is available | commercial Bundled with Microsoft Office | Open Source LGPL | Open Source BSD | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | yes | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Implementation language | C++ | C++ | Java | C | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | hosted | Linux OS X Windows | Windows Not a real database server, but making use of DLLs | Linux Windows | FreeBSD HP-UX Linux NetBSD OpenBSD OS X Solaris Unix Windows | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | yes | schema-free Schema can be enforced | yes | schema-free | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes | yes | yes | numeric data for metrics, strings for tags | 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 | yes | no | yes specific XML-type available, but no XML query functionality. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes | yes | yes | no | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | yes | yes SQL92 | yes but not compliant to any SQL standard | no | yes standard with numerous extensions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | JDBC ODBC | Java API Node.js Client API ODBC proprietary Optic API Proprietary Query API, introduced with version 9 RESTful HTTP API SPARQL WebDAV XDBC XQuery XSLT | ADO.NET DAO ODBC OLE DB | HTTP API Telnet API | ADO.NET JDBC native C library ODBC streaming API for large objects | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | C# Java PHP Python | C C# C++ Java JavaScript (Node.js) Perl PHP Python Ruby | C C# C++ Delphi Java (JDBC-ODBC) VBA Visual Basic.NET | Erlang Go Java Python R Ruby | .Net C C++ Delphi Java JDBC JavaScript (Node.js) Perl PHP Python Tcl | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | yes | yes via XQuery or JavaScript | 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | yes | yes | yes since Access 2010 using the ACE-engine | no | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | Sharding Implicit feature of the cloud service | Sharding | none | Sharding based on HBase | partitioning by range, list and (since PostgreSQL 11) by hash | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | yes Implicit feature of the cloud service | yes | none | selectable replication factor based on HBase | Source-replica replication other methods possible by using 3rd party extensions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | no | yes via Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Immediate Consistency | Immediate Consistency | Immediate Consistency based on HBase | Immediate Consistency | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | yes | no | yes | no | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID | ACID can act as a resource manager in an XA/JTA transaction | ACID but no files for transaction logging | no | ACID | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes | yes | 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. | yes | yes, with Range Indexes | no | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | fine grained access rights according to SQL-standard | Role-based access control at the document and subdocument levels | no a simple user-level security was built in till version Access 2003 | no | fine grained access rights according to SQL-standard | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
More information provided by the system vendor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Alibaba Cloud AnalyticDB for MySQL | MarkLogic | Microsoft Access | OpenTSDB | PostgreSQL | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Specific characteristics | A real-time data warehousing service that can process PB data with high concurrency... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Competitive advantages | TPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Licensing and pricing models | Available regions: America US Virginia US Silicon Valley Asia China Hong Kong India... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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3rd parties | Redgate webinars: A series of key topics for new PostgreSQL users.
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More resources | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Alibaba Cloud AnalyticDB for MySQL | MarkLogic | Microsoft Access | OpenTSDB | PostgreSQL | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | 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 | Time Series DBMS are the database category with the fastest increase in popularity | 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 Monitoring PostgreSQL with Redgate Monitor Alibaba Cloud launches new cloud database solutions following market growth How Data Analytics Capabilities of Alibaba Group Evolve Its Ecosystem to the Cloud Gartner’s Magic Quadrant for Cloud Database Management Systems Alibaba Cloud Named a Leader in Gartner(R) Magic Quadrant(TM) for Cloud Database Management Systems AWS, IBM, Microsoft, Google emerge Cloud DBMS leaders provided by Google News Database Platform to Simplify Complex Data | Progress Marklogic ABN AMRO Moves Progress-Powered Credit Store App to Azure Cloud; Achieves 40% Faster Data Processing, Lower ... Seven Quick Steps to Setting Up MarkLogic Server in Kubernetes Progress's $355m move for MarkLogic sets the tone for 2023 Progress to acquire PE-backed data platform MarkLogic for $355m provided by Google News Abusing Microsoft Access "Linked Table" Feature to Perform NTLM Forced Authentication Attacks MS access program to increase awareness and independence of those living with MS and disability Hackers Exploit Microsoft Access Feature to Steal Windows User’s NTLM Tokens After installing Navisworks, Office 2016 (32-bit) applications stopped launching ACCDE File (What It Is and How to Open One) provided by Google News Pinterest Switches from OpenTSDB to Their Own Time Series Database Comparing Different Time-Series Databases Brain Monitoring with Kafka, OpenTSDB, and Grafana MapR to help admins peer into dense Hadoop clusters Comparing InfluxDB, TimescaleDB, and QuestDB Timeseries Databases provided by Google News Why PostgreSQL Is the Bedrock for the Future of Data Introducing OCI Database with PostgreSQL: Completing Our Cloud Database Suite for Every Need Amazon Aurora Global Database for PostgreSQL now supports write forwarding PeerDB raises $3.6M to accelerate PostgreSQL data movement Did One Guy Just Stop a Huge Cyberattack? provided by Google News |
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