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DBMS > EJDB vs. Hawkular Metrics vs. MaxDB vs. MonetDB vs. Realm

System Properties Comparison EJDB vs. Hawkular Metrics vs. MaxDB vs. MonetDB vs. Realm

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonMonetDB  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A robust and reliable RDBMS optimized to run all major SAP solutionsA relational database management system that stores data in columnsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelDocument storeTime Series DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score2.32
Rank#112  Overall
#55  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitegithub.com/­Softmotions/­ejdbwww.hawkular.orgmaxdb.sap.comwww.monetdb.orgrealm.io
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.hawkular.org/­hawkular-metrics/­docs/­user-guidemaxdb.sap.com/­documentationwww.monetdb.org/­Documentationrealm.io/­docs
DeveloperSoftmotionsCommunity supported by Red HatSAP, acquired from Software AG (Adabas-D) in 1997MonetDB BVRealm, acquired by MongoDB in May 2019
Initial release20122014198420042014
Current release7.9.10.12, February 2024Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache 2.0commercial infoLimited community edition freeOpen Source infoMozilla Public License 2.0Open Source
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 languageCJavaC++C
Server operating systemsserver-lessLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesyesyes
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.nonono
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoyesyes infoSQL 2003 with some extensionsno
APIs and other access methodsin-process shared libraryHTTP RESTADO.NET
JDBC
ODBC
WebDAV
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Go
Java
Python
Ruby
.Net
C#
Java
Perl
PHP
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnonoyesyes, in SQL, C, Rno inforuns within the applications so server-side scripts are unnecessary
Triggersnoyes infovia Hawkular Alertingyesyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandranoneSharding via remote tablesnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on CassandraSource-replica replicationnone infoSource-replica replication available in experimental statusnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes
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.nonoyes infoIn-Memory realm
User concepts infoAccess controlnonofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes

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More resources
EJDBHawkular MetricsMaxDB infoformerly named Adabas-DMonetDBRealm
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