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DBMS > Splice Machine vs. Yanza

System Properties Comparison Splice Machine vs. Yanza

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Editorial information provided by DB-Engines
NameSplice Machine  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTime Series DBMS for IoT Applications
Primary database modelRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.88
Rank#236  Overall
#110  Relational DBMS
Score0.00
Rank#404  Overall
#42  Time Series DBMS
Websitesplicemachine.comyanza.com
Technical documentationsplicemachine.com/­how-it-works
DeveloperSplice MachineYanza
Initial release20142015
Current release3.1, March 2021
License infoCommercial or Open SourceOpen Source infoAGPL 3.0, commercial license availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinux
OS X
Solaris
Windows
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
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.no
Secondary indexesyesno
SQL infoSupport of SQLyesno
APIs and other access methodsJDBC
Native Spark Datasource
ODBC
HTTP API
Supported programming languagesC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infoJavano
Triggersyesyes infoTimer and event based
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
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardno

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More resources
Splice MachineYanza
Recent citations in the news

Machine learning data pipeline outfit Splice Machine files for insolvency
26 August 2021, The Register

Real-time Analytics News for Week Ending August 12
13 August 2023, RTInsights

Gartner: Top Machine Learning Trends for 2023
21 August 2023, RTInsights

Splice Machine Creates Feature Store Platform
20 January 2021, Database Trends and Applications

Splice Machine Launches Feature Store to Simplify Feature ...
19 January 2021, Datanami

provided by Google News

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