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DBMS > GigaSpaces vs. IBM Db2 Event Store vs. MarkLogic vs. Oracle Berkeley DB vs. Sadas Engine

System Properties Comparison GigaSpaces vs. IBM Db2 Event Store vs. MarkLogic vs. Oracle Berkeley DB vs. Sadas Engine

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMarkLogic  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsDistributed Event Store optimized for Internet of Things use casesOperational and transactional Enterprise NoSQL databaseWidely used in-process key-value storeSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Event Store
Time Series DBMS
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
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitewww.gigaspaces.comwww.ibm.com/­products/­db2-event-storewww.marklogic.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.sadasengine.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.ibm.com/­docs/­en/­db2-event-storedocs.marklogic.comdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperGigaspaces TechnologiesIBMMarkLogic Corp.Oracle infooriginally developed by Sleepycat, which was acquired by OracleSADAS s.r.l.
Initial release20002017200119942006
Current release15.5, September 20202.011.0, December 202218.1.40, May 20208.0
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercial infofree developer edition availablecommercial inforestricted free version is availableOpen Source infocommercial license availablecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC and C++C++C, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsLinux
macOS
Solaris
Windows
Linux infoLinux, macOS, Windows for the developer additionLinux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
AIX
Linux
Windows
Data schemeschema-freeyesschema-free infoSchema can be enforcedschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.no infoXML can be used for describing objects metadatanoyesyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsyes infothrough the embedded Spark runtimeyes infoSQL92yes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
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
JDBC
ODBC
Proprietary protocol
Supported programming languages.Net
C++
Java
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
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
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyesyesyes infovia XQuery or JavaScriptnono
Triggersyes, event driven architecturenoyesyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Active-active shard replicationyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes, with Range Indexesyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levelsnoAccess rights for users, groups and roles according to SQL-standard

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More resources
GigaSpacesIBM Db2 Event StoreMarkLogicOracle Berkeley DBSadas Engine
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