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DBMS > HBase vs. PlanetScale vs. TigerGraph vs. Tkrzw vs. Yaacomo

System Properties Comparison HBase vs. PlanetScale vs. TigerGraph vs. Tkrzw vs. Yaacomo

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonPlanetScale  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
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableScalable, distributed, serverless MySQL database platform built on top of VitessA 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 modelWide column storeRelational DBMSGraph DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitehbase.apache.orgplanetscale.comwww.tigergraph.comdbmx.net/­tkrzwyaacomo.com
Technical documentationhbase.apache.org/­book.htmlplanetscale.com/­docsdocs.tigergraph.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetPlanetScaleMikio HirabayashiQ2WEB GmbH
Initial release20082020201720202009
Current release2.3.4, January 20210.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++C++
Server operating systemsLinux
Unix
Windows infousing Cygwin
Docker
Linux
macOS
LinuxLinux
macOS
Android
Linux
Windows
Data schemeschema-free, schema definition possibleyesyesschema-freeyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesnoyes
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 indexesnoyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like query language (GSQL)noyes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
ADO.NET
JDBC
MySQL protocol
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayes infoproprietary syntaxyesno
Triggersyesyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACID at shard levelACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infousing specific database classesyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers with fine-grained authorization concept infono user groups or rolesRole-based access controlnofine grained access rights according to SQL-standard

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More resources
HBasePlanetScaleTigerGraphTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYaacomo
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