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DBMS > BoltDB vs. EJDB vs. eXtremeDB vs. Heroic vs. MonetDB

System Properties Comparison BoltDB vs. EJDB vs. eXtremeDB vs. Heroic vs. MonetDB

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonEJDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonHeroic  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Embeddable document-store database library with JSON representation of queries (in MongoDB style)Natively in-memory DBMS with options for persistency, high-availability and clusteringTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA relational database management system that stores data in columns
Primary database modelKey-value storeDocument storeRelational DBMS
Time Series DBMS
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.27
Rank#297  Overall
#44  Document stores
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websitegithub.com/­boltdb/­boltgithub.com/­Softmotions/­ejdbwww.mcobject.comgithub.com/­spotify/­heroicwww.monetdb.org
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.mcobject.com/­docs/­extremedb.htmspotify.github.io/­heroicwww.monetdb.org/­Documentation
DeveloperSoftmotionsMcObjectSpotifyMonetDB BV
Initial release20132012200120142004
Current release8.2, 2021Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoGPLv2commercialOpen Source infoApache 2.0Open Source infoMozilla Public License 2.0
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 languageGoCC and C++JavaC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
server-lessAIX
HP-UX
Linux
macOS
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyes infostring, integer, double, bool, date, object_idyesyesyes
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 infosupport of XML interfaces availableno
Secondary indexesnonoyesyes infovia Elasticsearchyes
SQL infoSupport of SQLnonoyes infowith the option: eXtremeSQLnoyes infoSQL 2003 with some extensions
APIs and other access methodsin-process shared library.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesGoActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C#
C++
Java
Lua
Python
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyesnoyes, in SQL, C, R
Triggersnonoyes infoby defining eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning / shardingShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yesnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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.noyesno
User concepts infoAccess controlnonofine grained access rights according to SQL-standard
More information provided by the system vendor
BoltDBEJDBeXtremeDBHeroicMonetDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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More resources
BoltDBEJDBeXtremeDBHeroicMonetDB
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