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DBMS > BoltDB vs. Lovefield vs. MonetDB vs. RocksDB vs. Splunk

System Properties Comparison BoltDB vs. Lovefield vs. MonetDB vs. RocksDB vs. Splunk

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonLovefield  Xexclude from comparisonMonetDB  Xexclude from comparisonRocksDB  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Embeddable relational database for web apps written in pure JavaScriptA relational database management system that stores data in columnsEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Analytics Platform for Big Data
Primary database modelKey-value storeRelational DBMSRelational DBMSKey-value storeSearch engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#206  Overall
#35  Key-value stores
Score0.27
Rank#247  Overall
#115  Relational DBMS
Score1.95
Rank#116  Overall
#56  Relational DBMS
Score2.67
Rank#96  Overall
#17  Key-value stores
Score88.77
Rank#12  Overall
#2  Search engines
Websitegithub.com/­boltdb/­boltgoogle.github.io/­lovefieldwww.monetdb.orgrocksdb.orgwww.splunk.com
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.monetdb.org/­Documentationgithub.com/­facebook/­rocksdb/­wikidocs.splunk.com/­Documentation/­Splunk
DeveloperGoogleMonetDB BVFacebook, Inc.Splunk Inc.
Initial release20132014200420132003
Current release2.1.12, February 2017Nov2019-SP1, December 20196.5.3, January 2020
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoMozilla Public License 2.0Open Source infoBSDcommercial infoLimited free edition and free developer edition 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 languageGoJavaScriptCC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesnoyes
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.nononoyes
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternyes infoSQL 2003 with some extensionsnono infoSplunk Search Processing Language for search commands
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
C++ API
Java API
HTTP REST
Supported programming languagesGoJavaScriptC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++
Java
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes, in SQL, C, Rnoyes
TriggersnoUsing read-only observersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding via remote tablesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenone infoMaster-slave replication available in experimental statusnoneMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDyesno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDByesno
User concepts infoAccess controlnonofine grained access rights according to SQL-standardnoAccess rights for users and roles
More information provided by the system vendor
BoltDBLovefieldMonetDBRocksDBSplunk
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» more
News

Optimistic Concurrency Control in MonetDB
3 January 2020

Limit memory usage of MonetDB on Linux with CGROUPS
9 May 2019

SQL:2003 merge statements now supported in MonetDB
8 March 2019

Extended SQL:2011 Window Functions in MonetDB
26 February 2019

Updatable MERGE TABLEs with partition predicates
26 February 2019

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BoltDBLovefieldMonetDBRocksDBSplunk
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