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DBMS > DolphinDB vs. JanusGraph vs. Microsoft Azure AI Search

System Properties Comparison DolphinDB vs. JanusGraph vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Search-as-a-service for web and mobile app development
Primary database modelTime Series DBMSGraph DBMSSearch engine
Secondary database modelsRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Websitewww.dolphindb.comjanusgraph.orgazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmldocs.janusgraph.orglearn.microsoft.com/­en-us/­azure/­search
DeveloperDolphinDB, IncLinux Foundation; originally developed as Titan by AureliusMicrosoft
Initial release201820172015
Current releasev2.00.4, January 20220.6.3, February 2023V1
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsLinux
Windows
Linux
OS X
Unix
Windows
hosted
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languagenono
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Clojure
Java
Python
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyesyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAdministrators, Users, GroupsUser authentification and security via Rexster Graph Serveryes infousing Azure authentication

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More resources
DolphinDBJanusGraph infosuccessor of TitanMicrosoft Azure AI Search
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