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DBMS > Datomic vs. Graphite vs. InterSystems Caché vs. MarkLogic vs. Microsoft Azure Synapse Analytics

System Properties Comparison Datomic vs. Graphite vs. InterSystems Caché vs. MarkLogic vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGraphite  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA multi-model DBMS and application serverOperational and transactional Enterprise NoSQL databaseElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitewww.datomic.comgithub.com/­graphite-project/­graphite-webwww.intersystems.com/­products/­cachewww.marklogic.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.datomic.comgraphite.readthedocs.iodocs.intersystems.comdocs.marklogic.comdocs.microsoft.com/­azure/­synapse-analytics
DeveloperCognitectChris DavisInterSystemsMarkLogic Corp.Microsoft
Initial release20122006199720012016
Current release1.0.6735, June 20232018.1.4, May 202011.0, December 2022
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0commercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojurePythonC++C++
Server operating systemsAll OS with a Java VMLinux
Unix
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
hosted
Data schemeyesyesdepending on used data modelschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyesyes
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.nonoyesyesno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLnonoyesyes infoSQL92yes
APIs and other access methodsRESTful HTTP APIHTTP API
Sockets
.NET Client API
JDBC
ODBC
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET
JDBC
ODBC
Supported programming languagesClojure
Java
JavaScript (Node.js)
Python
C#
C++
Java
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
PHP
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyesyes infovia XQuery or JavaScriptTransact SQL
TriggersBy using transaction functionsnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnonenoneShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnoneSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyes, with Range Indexes
User concepts infoAccess controlnonoAccess rights for users, groups and rolesRole-based access control at the document and subdocument levelsyes

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More resources
DatomicGraphiteInterSystems CachéMarkLogicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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