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DBMS > EsgynDB vs. GridGain vs. Infobright vs. OrigoDB vs. Riak KV

System Properties Comparison EsgynDB vs. GridGain vs. Infobright vs. OrigoDB vs. Riak KV

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGridGain  Xexclude from comparisonInfobright  Xexclude from comparisonOrigoDB  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGridGain is an in-memory computing platform, built on Apache IgniteHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendA fully ACID in-memory object graph databaseDistributed, fault tolerant key-value store
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSDocument store
Object oriented DBMS
Key-value store infowith links between data sets and object tags for the creation of secondary indexes
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
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitewww.esgyn.cnwww.gridgain.comignitetech.com/­softwarelibrary/­infobrightdborigodb.com
Technical documentationwww.gridgain.com/­docs/­index.htmlorigodb.com/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperEsgynGridGain Systems, Inc.Ignite Technologies Inc.; formerly InfoBright Inc.Robert Friberg et alOpenSource, formerly Basho Technologies
Initial release2015200720052009 infounder the name LiveDB2009
Current releaseGridGain 8.5.13.2.0, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open SourceOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaJava, C++, .NetCC#Erlang
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux
Windows
Linux
Windows
Linux
OS X
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsno
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.noyesnono infocan be achieved using .NETno
Secondary indexesyesyesno infoKnowledge Grid Technology used insteadyesrestricted
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLyesnono
APIs and other access methodsADO.NET
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
.NET Client API
HTTP API
LINQ
HTTP API
Native Erlang Interface
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.NetC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresJava Stored Proceduresyes (compute grid and cache interceptors can be used instead)noyesErlang
Triggersnoyes (cache interceptors and events)noyes infoDomain Eventsyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning infoclient side managed; servers are not synchronizedSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes (replicated cache)Source-replica replicationSource-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)nonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonodepending on modelno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
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 implementationsfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesRole based authorizationyes, using Riak Security

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More resources
EsgynDBGridGainInfobrightOrigoDBRiak KV
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