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DBMS > EJDB vs. GigaSpaces vs. GridGain vs. HBase vs. Oracle Rdb

System Properties Comparison EJDB vs. GigaSpaces vs. GridGain vs. HBase vs. Oracle Rdb

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGridGain  Xexclude from comparisonHBase  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsGridGain is an in-memory computing platform, built on Apache IgniteWide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store
Relational DBMS
Wide column storeRelational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.08
Rank#184  Overall
#85  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbwww.gigaspaces.comwww.gridgain.comhbase.apache.orgwww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.gigaspaces.com/­latest/­landing.htmlwww.gridgain.com/­docs/­index.htmlhbase.apache.org/­book.htmlwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperSoftmotionsGigaspaces TechnologiesGridGain Systems, Inc.Apache Software Foundation infoApache top-level project, originally developed by PowersetOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20122000200720081984
Current release15.5, September 2020GridGain 8.5.12.3.4, January 20217.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoApache version 2commercial
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 languageCJava, C++, .NetJava, C++, .NetJava
Server operating systemsserver-lessLinux
macOS
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
HP Open VMS
Data schemeschema-freeschema-freeyesschema-free, schema definition possibleFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesoptions to bring your own types, AVROyes
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.no infoXML can be used for describing objects metadatayesnono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsANSI-99 for query and DML statements, subset of DDLnoyes
APIs and other access methodsin-process shared libraryGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
Thrift
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C++
Java
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresnoyesyes (compute grid and cache interceptors can be used instead)yes infoCoprocessors in Java
Triggersnoyes, event driven architectureyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes (replicated cache)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsyes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDSingle row ACID (across millions of columns)yes, on a single node
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
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.yesyesyesno
User concepts infoAccess controlnoRole-based access controlSecurity Hooks for custom implementationsAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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EJDBGigaSpacesGridGainHBaseOracle Rdb
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