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DBMS > Blueflood vs. GigaSpaces vs. MarkLogic vs. Oracle Berkeley DB

System Properties Comparison Blueflood vs. GigaSpaces vs. MarkLogic vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonGigaSpaces  Xexclude from comparisonMarkLogic  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsOperational and transactional Enterprise NoSQL databaseWidely used in-process key-value store
Primary database modelTime Series DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#352  Overall
#36  Time Series DBMS
Score0.91
Rank#197  Overall
#33  Document stores
#7  Object oriented DBMS
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score1.88
Rank#130  Overall
#23  Key-value stores
#3  Native XML DBMS
Websiteblueflood.iowww.gigaspaces.comwww.progress.com/­marklogicwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.gigaspaces.com/­latest/­landing.htmlwww.progress.com/­marklogic/­documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperRackspaceGigaspaces TechnologiesMarkLogic Corp.Oracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2013200020011994
Current release15.5, September 202011.0, December 202218.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; Commercial licenses availablecommercial inforestricted free version is availableOpen Source infocommercial license available
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++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
OS X
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemepredefined schemeschema-freeschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nono infoXML can be used for describing objects metadatayesyes infoonly with the Berkeley DB XML edition
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsyes infoSQL92yes infoSQL interfaced based on SQLite is available
APIs and other access methodsHTTP RESTGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languages.Net
C++
Java
Python
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.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
Server-side scripts infoStored proceduresnoyesyes infovia XQuery or JavaScriptno
Triggersnoyes, event driven architectureyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, with Range Indexesyes
User concepts infoAccess controlnoRole-based access controlRole-based access control at the document and subdocument levelsno

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More resources
BluefloodGigaSpacesMarkLogicOracle Berkeley DB
Conferences, events and webinars

Progress MarkLogic World
Washington DC, 23-25 September 2024

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