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DBMS > Snowflake vs. Splice Machine

System Properties Comparison Snowflake vs. Splice Machine

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Editorial information provided by DB-Engines
NameSnowflake  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionCloud-based data warehousing service for structured and semi-structured dataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score172.01
Rank#6  Overall
#5  Relational DBMS
Score0.54
Rank#243  Overall
#114  Relational DBMS
Websitewww.snowflake.comsplicemachine.com
Technical documentationdocs.snowflake.net/­manuals/­index.htmlsplicemachine.com/­how-it-works
DeveloperSnowflake Computing Inc.Splice Machine
Initial release20142014
Current release3.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedLinux
OS X
Solaris
Windows
Data schemeyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
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.yes
Secondary indexesyes
SQL infoSupport of SQLyesyes
APIs and other access methodsCLI Client
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsyes infoJava
Triggersno infosimilar concept for controling cloud resourcesyes
Partitioning methods infoMethods for storing different data on different nodesyesShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
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.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles according to SQL-standard

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More resources
SnowflakeSplice Machine
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