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DBMS > FatDB vs. PostgreSQL vs. SAP SQL Anywhere vs. SQream DB vs. Vitess

System Properties Comparison FatDB vs. PostgreSQL vs. SAP SQL Anywhere vs. SQream DB vs. Vitess

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSQream DB  Xexclude from comparisonVitess  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsa GPU-based, columnar RDBMS for big data analytics workloadsScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument store
Key-value store
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitewww.postgresql.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlsqream.comvitess.io
Technical documentationwww.postgresql.org/­docshelp.sap.com/­docs/­SAP_SQL_Anywheredocs.sqream.comvitess.io/­docs
DeveloperFatCloudPostgreSQL Global Development Group infowww.postgresql.org/­developerSAP infoformerly SybaseSQream TechnologiesThe Linux Foundation, PlanetScale
Initial release20121989 info1989: Postgres, 1996: PostgreSQL199220172013
Current release16.3, May 202417, July 20152022.1.6, December 202215.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSDcommercialcommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#CC++, CUDA, Haskell, Java, ScalaGo
Server operating systemsWindowsFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
LinuxDocker
Linux
macOS
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Typesyes
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.yes infospecific XML-type available, but no XML query functionality.yes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLno infoVia inetgration in SQL Serveryes infostandard with numerous extensionsyesyesyes infowith proprietary extensions
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
HTTP API
JDBC
ODBC
.Net
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infovia applicationsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes, in C/C++, Java, .Net or Perluser defined functions in Pythonyes infoproprietary syntax
Triggersyes infovia applicationsyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and (since PostgreSQL 11) by hashnonehorizontal and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication infoDatabase mirroringnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
FatDBPostgreSQLSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSQream DBVitess
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