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DBMS > EsgynDB vs. HBase vs. Kinetica vs. RocksDB

System Properties Comparison EsgynDB vs. HBase vs. Kinetica vs. RocksDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHBase  Xexclude from comparisonKinetica  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionWide-column store based on Apache Hadoop and on concepts of BigTableFully vectorized database across both GPUs and CPUsEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSWide column storeRelational DBMSKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#311  Overall
#141  Relational DBMS
Score31.60
Rank#26  Overall
#2  Wide column stores
Score0.74
Rank#229  Overall
#105  Relational DBMS
Score4.52
Rank#80  Overall
#10  Key-value stores
Websitewww.esgyn.cnhbase.apache.orgwww.kinetica.comrocksdb.org
Technical documentationhbase.apache.org/­book.htmldocs.kinetica.comgithub.com/­facebook/­rocksdb/­wiki
DeveloperEsgynApache Software Foundation infoApache top-level project, originally developed by PowersetKineticaFacebook, Inc.
Initial release2015200820122013
Current release2.3.4, January 20217.1, August 20218.10.0, December 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaJavaC, C++C++
Server operating systemsLinuxLinux
Unix
Windows infousing Cygwin
LinuxLinux
Data schemeyesschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesno
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 indexesyesnoyesno
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresJava Stored Proceduresyes infoCoprocessors in Javauser defined functionsno
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersMulti-source replication
Source-replica replication
Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)noyes
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.noyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users and roles on table levelno

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More resources
EsgynDBHBaseKineticaRocksDB
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