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DBMS > Newts vs. Splice Machine vs. VelocityDB vs. YTsaurus

System Properties Comparison Newts vs. Splice Machine vs. VelocityDB vs. YTsaurus

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Editorial information provided by DB-Engines
NameNewts  Xexclude from comparisonSplice Machine  Xexclude from comparisonVelocityDB  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionTime Series DBMS based on CassandraOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)YTsaurus is an open source platform for distributed storage and processing.
Primary database modelTime Series DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Document store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Score0.21
Rank#324  Overall
#45  Document stores
#48  Key-value stores
Websiteopennms.github.io/­newtssplicemachine.comvelocitydb.comytsaurus.tech
Technical documentationgithub.com/­OpenNMS/­newts/­wikisplicemachine.com/­how-it-worksvelocitydb.com/­UserGuideytsaurus.tech/­docs/­en
DeveloperOpenNMS GroupSplice MachineVelocityDB IncYandex
Initial release2014201420112023
Current release3.1, March 20217.x
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license availablecommercialOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Any that supports .NETUbuntu
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyesnoYQL, an SQL-based language, is supported
APIs and other access methodsHTTP REST
Java API
JDBC
Native Spark Datasource
ODBC
.Net
Supported programming languagesJavaC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
.NetC++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyes infoJavano
TriggersnoyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShared Nothhing Auto-Sharding, Columnar PartitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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.noyesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardBased on Windows AuthenticationAccess Control Lists

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More resources
NewtsSplice MachineVelocityDBYTsaurus
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