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DBMS > Apache Kylin vs. Microsoft SQL Server vs. PostgreSQL vs. SpatiaLite vs. Titan

System Properties Comparison Apache Kylin vs. Microsoft SQL Server vs. PostgreSQL vs. SpatiaLite vs. Titan

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSpatiaLite  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackMicrosofts flagship relational DBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLSpatial extension of SQLiteTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Spatial DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitekylin.apache.orgwww.microsoft.com/­en-us/­sql-serverwww.postgresql.orgwww.gaia-gis.it/­fossil/­libspatialite/­indexgithub.com/­thinkaurelius/­titan
Technical documentationkylin.apache.org/­docslearn.microsoft.com/­en-US/­sql/­sql-serverwww.postgresql.org/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlgithub.com/­thinkaurelius/­titan/­wiki
DeveloperApache Software Foundation, originally contributed from eBay IncMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerAlessandro FurieriAurelius, owned by DataStax
Initial release201519891989 info1989: Postgres, 1996: PostgreSQL20082012
Current release3.1.0, July 2020SQL Server 2022, November 202216.3, May 20245.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial inforestricted free version is availableOpen Source infoBSDOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++CC++Java
Server operating systemsLinuxLinux
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
server-lessLinux
OS X
Unix
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yesyes infostandard with numerous extensionsyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Clojure
Java
Python
Server-side scripts infoStored proceduresTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodestables can be distributed across several files (horizontal partitioning); sharding through federationpartitioning by range, list and (since PostgreSQL 11) by hashnoneyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyes, but depending on the SQL-Server EditionSource-replica replication infoother methods possible by using 3rd party extensionsnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnoUser authentification and security via Rexster Graph Server

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Apache KylinMicrosoft SQL ServerPostgreSQLSpatiaLiteTitan
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