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DBMS > Blueflood vs. GeoSpock vs. GridGain vs. OrientDB vs. Tibero

System Properties Comparison Blueflood vs. GeoSpock vs. GridGain vs. OrientDB vs. Tibero

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonGeoSpock  Xexclude from comparisonGridGain  Xexclude from comparisonOrientDB  Xexclude from comparisonTibero  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionScalable TimeSeries DBMS based on CassandraSpatial and temporal data processing engine for extreme data scaleGridGain is an in-memory computing platform, built on Apache IgniteMulti-model DBMS (Document, Graph, Key/Value)A secure RDBMS, designed for easy portability from Oracle
Primary database modelTime Series DBMSRelational DBMSKey-value store
Relational DBMS
Document store
Graph DBMS
Key-value store
Relational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websiteblueflood.iogeospock.comwww.gridgain.comorientdb.orgus.tmaxsoft.com/­products/­tibero
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiwww.gridgain.com/­docs/­index.htmlwww.orientdb.com/­docs/­last/­index.htmltechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperRackspaceGeoSpockGridGain Systems, Inc.OrientDB LTD; CallidusCloud; SAPTmaxSoft
Initial release2013200720102003
Current release2.0, September 2019GridGain 8.5.13.2.29, March 20246, April 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, JavascriptJava, C++, .NetJavaC and Assembler
Server operating systemsLinux
OS X
hostedLinux
OS X
Solaris
Windows
All OS with a Java JDK (>= JDK 6)AIX
HP-UX
Linux
Solaris
Windows
Data schemepredefined schemeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
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.nonoyesnoyes
Secondary indexesnotemporal, categoricalyesyesyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)ANSI-99 for query and DML statements, subset of DDLSQL-like query language, no joinsyes
APIs and other access methodsHTTP RESTJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)Java, JavascriptPersistent Stored Procedure (PSM)
Triggersnonoyes (cache interceptors and events)Hooksyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraAutomatic shardingShardingShardinghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes (replicated cache)Multi-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes inforelationship in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonoyesno infoplanned for next version
User concepts infoAccess controlnoAccess rights for users can be defined per tableSecurity Hooks for custom implementationsAccess rights for users and roles; record level security configurablefine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
BluefloodGeoSpockGridGainOrientDBTibero
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