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DBMS > Badger vs. Splice Machine vs. Splunk vs. SwayDB

System Properties Comparison Badger vs. Splice Machine vs. Splunk vs. SwayDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonSplice Machine  Xexclude from comparisonSplunk  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAnalytics Platform for Big DataAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelKey-value storeRelational DBMSSearch engineKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitegithub.com/­dgraph-io/­badgersplicemachine.comwww.splunk.comswaydb.simer.au
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgersplicemachine.com/­how-it-worksdocs.splunk.com/­Documentation/­Splunk
DeveloperDGraph LabsSplice MachineSplunk Inc.Simer Plaha
Initial release2017201420032018
Current release3.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license availablecommercial infoLimited free edition and free developer edition availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaScala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.noyesno
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyesno infoSplunk Search Processing Language for search commandsno
APIs and other access methodsJDBC
Native Spark Datasource
ODBC
HTTP REST
Supported programming languagesGoC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
JavaScript
PHP
Python
Ruby
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnoyes infoJavayesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShared Nothhing Auto-Sharding, Columnar PartitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardAccess rights for users and rolesno

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More resources
BadgerSplice MachineSplunkSwayDB
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19 January 2021, Datanami

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10 February 2014, VentureBeat

provided by Google News



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