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DBMS > EsgynDB vs. GridGain vs. Kdb vs. TinkerGraph vs. VoltDB

System Properties Comparison EsgynDB vs. GridGain vs. Kdb vs. TinkerGraph vs. VoltDB

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGridGain  Xexclude from comparisonKdb  Xexclude from comparisonTinkerGraph  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGridGain is an in-memory computing platform, built on Apache IgniteHigh performance Time Series DBMSA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSKey-value store
Relational DBMS
Time Series DBMS
Vector DBMS
Graph DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitewww.esgyn.cnwww.gridgain.comkx.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinwww.voltdb.com
Technical documentationwww.gridgain.com/­docs/­index.htmlcode.kx.comdocs.voltdb.com
DeveloperEsgynGridGain Systems, Inc.Kx Systems, a division of First Derivatives plcVoltDB Inc.
Initial release201520072000 infokdb was released 2000, kdb+ in 200320092010
Current releaseGridGain 8.5.13.6, May 201811.3, April 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree 32-bit versionOpen Source infoApache 2.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJava, C++, .NetqJavaJava, C++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
OS X infofor development
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesyesno
Secondary indexesyesyesyes infotable attribute 'grouped'noyes
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLSQL-like query language (q)noyes infoonly a subset of SQL 99
APIs and other access methodsADO.NET
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
TinkerPop 3Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Groovy
Java
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresJava Stored Proceduresyes (compute grid and cache interceptors can be used instead)user defined functionsnoJava
Triggersnoyes (cache interceptors and events)yes infowith viewsnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes (replicated cache)Source-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)no infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesnoyesyes infoRelationships in graphsno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesoptionalyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsrights management via user accountsnoUsers and roles with access to stored procedures
More information provided by the system vendor
EsgynDBGridGainKdbTinkerGraphVoltDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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EsgynDBGridGainKdbTinkerGraphVoltDB
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