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DBMS > Microsoft Azure Cosmos DB vs. SAP SQL Anywhere vs. SQLite vs. TigerGraph

System Properties Comparison Microsoft Azure Cosmos DB vs. SAP SQL Anywhere vs. SQLite vs. TigerGraph

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Editorial information provided by DB-Engines
NameMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSQLite  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionGlobally distributed, horizontally scalable, multi-model database serviceRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsWidely used embeddable, in-process RDBMSA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.39
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score4.89
Rank#77  Overall
#42  Relational DBMS
Score118.16
Rank#10  Overall
#7  Relational DBMS
Score1.92
Rank#143  Overall
#13  Graph DBMS
Websiteazure.microsoft.com/­services/­cosmos-dbwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.sqlite.orgwww.tigergraph.com
Technical documentationlearn.microsoft.com/­azure/­cosmos-dbhelp.sap.com/­docs/­SAP_SQL_Anywherewww.sqlite.org/­docs.htmldocs.tigergraph.com
DeveloperMicrosoftSAP infoformerly SybaseDwayne Richard Hipp
Initial release2014199220002017
Current release17, July 20153.45.2  (12 March 2024), March 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoPublic Domaincommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris
Windows
server-lessLinux
Data schemeschema-freeyesyes infodynamic column typesyes
Typing infopredefined data types such as float or dateyes infoJSON typesyesyes infonot rigid because of 'dynamic typing' concept.yes
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.yesnono
Secondary indexesyes infoAll properties auto-indexed by defaultyesyes
SQL infoSupport of SQLSQL-like query languageyesyes infoSQL-92 is not fully supportedSQL-like query language (GSQL)
APIs and other access methodsDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
HTTP API
JDBC
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
C++
Java
Server-side scripts infoStored proceduresJavaScriptyes, in C/C++, Java, .Net or Perlnoyes
TriggersJavaScriptyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-item ACID transactions with snapshot isolation within a partitionACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locksyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardnoRole-based access control

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More resources
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSQLiteTigerGraph
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