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

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

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonEJDB  Xexclude from comparisonGridGain  Xexclude from comparisonHBase  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesEmbeddable document-store database library with JSON representation of queries (in MongoDB style)GridGain is an in-memory computing platform, built on Apache IgniteWide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedDocument storeKey-value store
Relational DBMS
Wide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
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
Websitebigobject.iogithub.com/­Softmotions/­ejdbwww.gridgain.comhbase.apache.orgwww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationdocs.bigobject.iogithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.gridgain.com/­docs/­index.htmlhbase.apache.org/­book.htmlwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperBigObject, Inc.SoftmotionsGridGain Systems, Inc.Apache Software Foundation infoApache top-level project, originally developed by PowersetOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20152012200720081984
Current releaseGridGain 8.5.12.3.4, January 20217.4.1.1, 2021
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoGPLv2commercialOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, C++, .NetJava
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
server-lessLinux
OS X
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
HP Open VMS
Data schemeyesschema-freeyesschema-free, schema definition possibleFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesoptions 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.noyesnono
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoANSI-99 for query and DML statements, subset of DDLnoyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
in-process shared libraryHDFS 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
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresLuanoyes (compute grid and cache interceptors can be used instead)yes infoCoprocessors in Java
Triggersnonoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes (replicated cache)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesno infotypically not needed, however similar functionality with collection joins possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDSingle row ACID (across millions of columns)yes, on a single node
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yes infoRead/Write Lockingyesyesyes
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 controlnonoSecurity Hooks for custom implementationsAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
BigObjectEJDBGridGainHBaseOracle Rdb
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