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DBMS > TigerGraph vs. Tkrzw vs. Warp 10 vs. Yaacomo

System Properties Comparison TigerGraph vs. Tkrzw vs. Warp 10 vs. Yaacomo

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Editorial information provided by DB-Engines
NameTigerGraph  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonWarp 10  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBaseOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelGraph DBMSKey-value storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.83
Rank#141  Overall
#13  Graph DBMS
Score0.09
Rank#354  Overall
#51  Key-value stores
Score0.08
Rank#358  Overall
#35  Time Series DBMS
Websitewww.tigergraph.comdbmx.net/­tkrzwwww.warp10.ioyaacomo.com
Technical documentationdocs.tigergraph.comwww.warp10.io/­content/­02_Getting_started
DeveloperMikio HirabayashiSenXQ2WEB GmbH
Initial release2017202020152009
Current release0.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Java
Server operating systemsLinuxLinux
macOS
Linux
OS X
Windows
Android
Linux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesnoyes
SQL infoSupport of SQLSQL-like query language (GSQL)nonoyes
APIs and other access methodsGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
HTTP API
Jupyter
WebSocket
JDBC
ODBC
Supported programming languagesC++
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesnoyes infoWarpScript
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes infousing specific database classesyesyes
User concepts infoAccess controlRole-based access controlnoMandatory use of cryptographic tokens, containing fine-grained authorizationsfine grained access rights according to SQL-standard

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More resources
TigerGraphTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetWarp 10Yaacomo
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