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DBMS > Splice Machine vs. VictoriaMetrics vs. WakandaDB

System Properties Comparison Splice Machine vs. VictoriaMetrics vs. WakandaDB

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Editorial information provided by DB-Engines
NameSplice Machine  Xexclude from comparisonVictoriaMetrics  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA fast, cost-effective and scalable Time Series DBMS and monitoring solutionWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSTime Series DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.92
Rank#191  Overall
#91  Relational DBMS
Score0.77
Rank#207  Overall
#15  Time Series DBMS
Score0.02
Rank#349  Overall
#19  Object oriented DBMS
Websitesplicemachine.comvictoriametrics.comwakanda.github.io
Technical documentationdoc.splicemachine.comdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
doc.wakanda.org/­home2.en.html#/­Datastore/­Introduction.200-588937.en.html
DeveloperSplice MachineVictoriaMetricsWakanda SAS
Initial release201420182012
Current release3.1, March 2021v1.77, May 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache Version 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++, JavaScript
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
OpenBSD
Linux
OS X
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyes
SQL infoSupport of SQLyesnono
APIs and other access methodsJDBC
Native Spark Datasource
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
RESTful HTTP API
Supported programming languagesC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript
Server-side scripts infoStored proceduresyes infoJavanoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Synchronous replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardyes
More information provided by the system vendor
Splice MachineVictoriaMetricsWakandaDB
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Splice MachineVictoriaMetricsWakandaDB
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