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DBMS > MySQL vs. PostgreSQL vs. TigerGraph

System Properties Comparison MySQL vs. PostgreSQL vs. TigerGraph

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Editorial information provided by DB-Engines
NameMySQL  Xexclude from comparisonPostgreSQL  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionWidely used open source RDBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMS infoKey/Value like access via memcached APIRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Graph DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1215.14
Rank#2  Overall
#2  Relational DBMS
Score478.72
Rank#4  Overall
#4  Relational DBMS
Score0.81
Rank#167  Overall
#13  Graph DBMS
Websitewww.mysql.comwww.postgresql.orgwww.tigergraph.com
Technical documentationdev.mysql.com/­docwww.postgresql.org/­docs/­manualswww.tigergraph.com/­documentation
DeveloperOracle infosince 2010, originally MySQL AB, then SunPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release19951989 info1989: Postgres, 1996: PostgreSQL2017
Current release8.0.15, February 201911.2, February 2019
License infoCommercial or Open SourceOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
  • Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
  • Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost
Implementation languageC and C++CC++
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyes infostandard with numerous extensionsSQL-like query language (GSQL)
APIs and other access methodsProprietary native API
ADO.NET
JDBC
ODBC
native C library
streaming API for large objects
ADO.NET
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
Server-side scripts infoStored proceduresyes infoproprietary syntaxuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-slave replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infonot for MyISAM storage engineyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infonot for MyISAM storage engineACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infotable locks or row locks depending on storage engineyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
MySQLPostgreSQLTigerGraph
Specific characteristicsTigerGraph is a native graph database, with massively parallel processing and fully...
» more
Competitive advantagesTigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Typical application scenariosAnti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Key customersVisa, Uber, AliPay, SoftBank, Wish, China Mobile, State Grid of China, and Zillow
» more
Market metricsTigerGraph is 2x to more than 8000x faster at graph traversal and query response...
» more
Licensing and pricing modelsDeveloper & Enterprise Edition: https://www.tigergraph.com/download/ Pricing is available...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
MySQLPostgreSQLTigerGraph
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Conferences and events

PGCon 2019, PostgreSQL Conference for Users and Developers
Ottawa, Canada, 28-31 May 2019

Finished events

Achieving High Availability with PostgreSQL
Webinar, 4PM UTC, 26 February 2019 (finished)

Recent citations in the news

Oracle splats 300 vulns in MySQL, Database, Fusion, etc, pours fresh brew of Java SE terms
16 April 2019, The Register

Oracle Management Software Supplier Adds Security Patching for MySQL and SQL Server
16 April 2019, Database Trends and Applications

Using Ethereum Logic Apps to push ledger data into to a MySQL or PostgreSQL database - Microsoft
25 March 2019, Channel 9

Top 10 Database Diagram Tools for MySQL
2 April 2019, Database Journal

Server General Delivers A Secure MySQL Server Appliance for Google Compute Engine Customers
9 April 2019, MENAFN.COM

provided by Google News

Building a scalable PostgreSQL solution
14 April 2019, Packt Hub

PostgreSQL security: a quick look at authentication best practices [Tutorial]
12 April 2019, Packt Hub

"Feature" of PostgreSQL 9.3 could enable hackers to execute code; affects Mac, Windows, Linux
1 April 2019, SC Magazine UK

Crunchy Data Collaborates With Center for Internet Security® To Continue Advancing PostgreSQL Security For Enterprise
1 April 2019, PRNewswire

Using Ethereum Logic Apps to push ledger data into to a MySQL or PostgreSQL database - Microsoft
25 March 2019, Channel 9

provided by Google News

TigerGraph Brings Pay-As-You-Go Graph Analytics to the Cloud with New Offering on Amazon Web Services (AWS), Achieves AWS Advanced Partner Status
17 April 2019, GlobeNewswire

TigerGraph Offers Graph Pattern Matching in Latest Update
25 March 2019, Database Trends and Applications

news digest: TigerGraph 2.4, Outsystems + Boncode, and a new Julia debugger - SD Times
22 March 2019, SDTimes.com

AnzoGraph review: A graph database for deep analytics
15 April 2019, InfoWorld

TigerGraph Shows Graph Database Market How to Scale Out
20 March 2019, eWeek

provided by Google News

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