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DBMS > Blueflood vs. Splice Machine vs. SWC-DB vs. YTsaurus

System Properties Comparison Blueflood vs. Splice Machine vs. SWC-DB vs. YTsaurus

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonSplice Machine  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA high performance, scalable Wide Column DBMSYTsaurus is an open source platform for distributed storage and processing.
Primary database modelTime Series DBMSRelational DBMSWide column storeDocument store
Key-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Score0.21
Rank#324  Overall
#45  Document stores
#48  Key-value stores
Websiteblueflood.iosplicemachine.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
ytsaurus.tech
Technical documentationgithub.com/­rax-maas/­blueflood/­wikisplicemachine.com/­how-it-worksytsaurus.tech/­docs/­en
DeveloperRackspaceSplice MachineAlex KashirinYandex
Initial release2013201420202023
Current release3.1, March 20210.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license availableOpen Source infoGPL V3Open 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
Linux
OS X
Solaris
Windows
LinuxUbuntu
Data schemepredefined schemeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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 indexesnoyes
SQL infoSupport of SQLnoyesSQL-like query languageYQL, an SQL-based language, is supported
APIs and other access methodsHTTP RESTJDBC
Native Spark Datasource
ODBC
Proprietary protocol
Thrift
Supported programming languagesC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyes infoJavano
Triggersnoyesno
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 integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.noyesno
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardAccess Control Lists

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More resources
BluefloodSplice MachineSWC-DB infoSuper Wide Column DatabaseYTsaurus
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