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DBMS > Snowflake vs. Splice Machine vs. SQLite vs. SQream DB vs. WakandaDB

System Properties Comparison Snowflake vs. Splice Machine vs. SQLite vs. SQream DB vs. WakandaDB

Editorial information provided by DB-Engines
NameSnowflake  Xexclude from comparisonSplice Machine  Xexclude from comparisonSQLite  Xexclude from comparisonSQream DB  Xexclude from comparisonWakandaDB  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 SparkWidely used embeddable, in-process RDBMSa GPU-based, columnar RDBMS for big data analytics workloadsWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score121.33
Rank#9  Overall
#6  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.snowflake.comsplicemachine.comwww.sqlite.orgsqream.comwakanda.github.io
Technical documentationdocs.snowflake.net/­manuals/­index.htmlsplicemachine.com/­how-it-workswww.sqlite.org/­docs.htmldocs.sqream.comwakanda.github.io/­doc
DeveloperSnowflake Computing Inc.Splice MachineDwayne Richard HippSQream TechnologiesWakanda SAS
Initial release20142014200020172012
Current release3.1, March 20213.45.3  (15 April 2024), April 20242022.1.6, December 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoPublic DomaincommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++, CUDA, Haskell, Java, ScalaC++, JavaScript
Server operating systemshostedLinux
OS X
Solaris
Windows
server-lessLinuxLinux
OS X
Windows
Data schemeyes infosupport of semi-structured data formats (JSON, XML, Avro)yesyes infodynamic column typesyesyes
Typing infopredefined data types such as float or dateyesyesyes infonot rigid because of 'dynamic typing' concept.yes, ANSI Standard SQL Typesyes
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.yesnono
Secondary indexesyesyesno
SQL infoSupport of SQLyesyesyes infoSQL-92 is not fully supportedyesno
APIs and other access methodsCLI Client
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
.Net
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
C++
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresuser defined functionsyes infoJavanouser defined functions in Pythonyes
Triggersno infosimilar concept for controling cloud resourcesyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyesShared Nothhing Auto-Sharding, Columnar Partitioningnonehorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
nonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes infovia file-system locksyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles according to SQL-standardnoyes

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More resources
SnowflakeSplice MachineSQLiteSQream DBWakandaDB
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