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DBMS > BoltDB vs. InterSystems Caché vs. Lovefield vs. Splunk vs. YottaDB

System Properties Comparison BoltDB vs. InterSystems Caché vs. Lovefield vs. Splunk vs. YottaDB

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonLovefield  Xexclude from comparisonSplunk  Xexclude from comparisonYottaDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionAn embedded key-value store for Go.A multi-model DBMS and application serverEmbeddable relational database for web apps written in pure JavaScriptAnalytics Platform for Big DataA fast and solid embedded Key-value store
Primary database modelKey-value storeKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSSearch engineKey-value store
Secondary database modelsDocument storeRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitegithub.com/­boltdb/­boltwww.intersystems.com/­products/­cachegoogle.github.io/­lovefieldwww.splunk.comyottadb.com
Technical documentationdocs.intersystems.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.splunk.com/­Documentation/­Splunkyottadb.com/­resources/­documentation
DeveloperInterSystemsGoogleSplunk Inc.YottaDB, LLC
Initial release20131997201420032001
Current release2018.1.4, May 20202.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache 2.0commercial infoLimited free edition and free developer edition availableOpen Source infoAGPL 3.0
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 languageGoJavaScriptC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Solaris
Windows
Docker
Linux
Data schemeschema-freedepending on used data modelyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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.noyesnoyesno
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoyesSQL-like query language infovia JavaScript builder patternno infoSplunk Search Processing Language for search commandsby using the Octo plugin
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
HTTP RESTPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesGoC#
C++
Java
JavaScriptC#
Java
JavaScript
PHP
Python
Ruby
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoyesnoyes
TriggersnoyesUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnoneMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDBnoyes
User concepts infoAccess controlnoAccess rights for users, groups and rolesnoAccess rights for users and rolesUsers and groups based on OS-security mechanisms

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More resources
BoltDBInterSystems CachéLovefieldSplunkYottaDB
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