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DBMS > Datastax Enterprise vs. JanusGraph vs. Linter vs. Microsoft Azure AI Search

System Properties Comparison Datastax Enterprise vs. JanusGraph vs. Linter vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonLinter  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017RDBMS for high security requirementsSearch-as-a-service for web and mobile app development
Primary database modelWide column storeGraph DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Spatial DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.82
Rank#65  Overall
#4  Wide column stores
Score1.85
Rank#134  Overall
#12  Graph DBMS
Score0.03
Rank#368  Overall
#156  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Websitewww.datastax.com/­products/­datastax-enterprisejanusgraph.orglinter.ruazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.datastax.comdocs.janusgraph.orglearn.microsoft.com/­en-us/­azure/­search
DeveloperDataStaxLinux Foundation; originally developed as Titan by Aureliusrelex.ruMicrosoft
Initial release2011201719902015
Current release6.8, April 20201.0.0, October 2023V1
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaJavaC and C++
Server operating systemsLinux
OS X
Linux
OS X
Unix
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
hosted
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnoyesno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyesyes infoproprietary syntax with the possibility to convert from PL/SQLno
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"yes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)noneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingyesSource-replica replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users can be defined per objectUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standardyes infousing Azure authentication
More information provided by the system vendor
Datastax EnterpriseJanusGraph infosuccessor of TitanLinterMicrosoft Azure AI Search
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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Datastax EnterpriseJanusGraph infosuccessor of TitanLinterMicrosoft Azure AI Search
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