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

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

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonGridGain  Xexclude from comparisonHBase  Xexclude from comparisonOracle Rdb  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionEmbeddable 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 BigTableOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelDocument storeKey-value store
Relational DBMS
Wide column storeRelational DBMSDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score2.92
Rank#101  Overall
#18  Document stores
Websitegithub.com/­Softmotions/­ejdbwww.gridgain.comhbase.apache.orgwww.oracle.com/­database/­technologies/­related/­rdb.htmlravendb.net
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.gridgain.com/­docs/­index.htmlhbase.apache.org/­book.htmlwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlravendb.net/­docs
DeveloperSoftmotionsGridGain Systems, Inc.Apache Software Foundation infoApache top-level project, originally developed by PowersetOracle, originally developed by Digital Equipment Corporation (DEC)Hibernating Rhinos
Initial release20122007200819842010
Current releaseGridGain 8.5.12.3.4, January 20217.4.1.1, 20215.4, July 2022
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoApache version 2commercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, C++, .NetJavaC#
Server operating systemsserver-lessLinux
OS X
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
HP Open VMSLinux
macOS
Raspberry Pi
Windows
Data schemeschema-freeyesschema-free, schema definition possibleFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesoptions 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.yesnono
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnoyesSQL-like query language (RQL)
APIs and other access methodsin-process shared libraryHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
Thrift
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
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
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yes infoCoprocessors in Javayes
Triggersnoyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)Multi-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDSingle row ACID (across millions of columns)yes, on a single nodeACID, Cluster-wide transaction available
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.yesyesno
User concepts infoAccess controlnoSecurity Hooks for custom implementationsAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAuthorization levels configured per client per database

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EJDBGridGainHBaseOracle RdbRavenDB
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