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DBMS > Blueflood vs. GridGain vs. Oracle Berkeley DB vs. TimesTen

System Properties Comparison Blueflood vs. GridGain vs. Oracle Berkeley DB vs. TimesTen

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonGridGain  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraGridGain is an in-memory computing platform, built on Apache IgniteWidely used in-process key-value storeIn-Memory RDBMS compatible to Oracle
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websiteblueflood.iowww.gridgain.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiwww.gridgain.com/­docs/­index.htmldocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.oracle.com/­database/­timesten-18.1
DeveloperRackspaceGridGain Systems, Inc.Oracle infooriginally developed by Sleepycat, which was acquired by OracleOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2013200719941998
Current releaseGridGain 8.5.118.1.40, May 202011 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infocommercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
OS X
Linux
OS X
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemepredefined schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyesyes infoonly with the Berkeley DB XML editionno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsHTTP RESTHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)noPL/SQL
Triggersnoyes (cache interceptors and events)yes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes (replicated cache)Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnoSecurity Hooks for custom implementationsnofine grained access rights according to SQL-standard

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BluefloodGridGainOracle Berkeley DBTimesTen
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