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DBMS > Snowflake vs. Splice Machine vs. VelocityDB vs. WakandaDB

System Properties Comparison Snowflake vs. Splice Machine vs. VelocityDB vs. WakandaDB

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Editorial information provided by DB-Engines
NameSnowflake  Xexclude from comparisonSplice Machine  Xexclude from comparisonVelocityDB  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 SparkA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Object 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
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.snowflake.comsplicemachine.comvelocitydb.comwakanda.github.io
Technical documentationdocs.snowflake.net/­manuals/­index.htmlsplicemachine.com/­how-it-worksvelocitydb.com/­UserGuidewakanda.github.io/­doc
DeveloperSnowflake Computing Inc.Splice MachineVelocityDB IncWakanda SAS
Initial release2014201420112012
Current release3.1, March 20217.x2.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoAGPL 3.0, commercial license availablecommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#C++, JavaScript
Server operating systemshostedLinux
OS X
Solaris
Windows
Any that supports .NETLinux
OS X
Windows
Data schemeyes infosupport of semi-structured data formats (JSON, XML, Avro)yesyesyes
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.yesnono
Secondary indexesyesyes
SQL infoSupport of SQLyesyesnono
APIs and other access methodsCLI Client
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
.NetRESTful HTTP API
Supported programming languagesJavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
.NetJavaScript
Server-side scripts infoStored proceduresuser defined functionsyes infoJavanoyes
Triggersno infosimilar concept for controling cloud resourcesyesCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesyesShared Nothhing Auto-Sharding, Columnar PartitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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.noyesyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles according to SQL-standardBased on Windows Authenticationyes

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More resources
SnowflakeSplice MachineVelocityDBWakandaDB
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