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DBMS > Amazon DocumentDB vs. TigerGraph vs. Tkrzw vs. Yaacomo

System Properties Comparison Amazon DocumentDB vs. TigerGraph vs. Tkrzw vs. Yaacomo

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonTigerGraph  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA 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 CabinetOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument storeGraph DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteaws.amazon.com/­documentdbwww.tigergraph.comdbmx.net/­tkrzwyaacomo.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.tigergraph.com
DeveloperMikio HirabayashiQ2WEB GmbH
Initial release2019201720202009
Current release0.9.3, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemshostedLinuxLinux
macOS
Android
Linux
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesyes
SQL infoSupport of SQLnoSQL-like query language (GSQL)noyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyesno
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACID
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 classesyes
User concepts infoAccess controlAccess rights for users and rolesRole-based access controlnofine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBTigerGraphTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYaacomo
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