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DBMS > Spark SQL vs. VelocityDB vs. Warp 10

System Properties Comparison Spark SQL vs. VelocityDB vs. Warp 10

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Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonVelocityDB  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSGraph DBMS
Object oriented DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#347  Overall
#35  Graph DBMS
#15  Object oriented DBMS
Score0.08
Rank#358  Overall
#35  Time Series DBMS
Websitespark.apache.org/­sqlvelocitydb.comwww.warp10.io
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlvelocitydb.com/­UserGuidewww.warp10.io/­content/­02_Getting_started
DeveloperApache Software FoundationVelocityDB IncSenX
Initial release201420112015
Current release3.5.0 ( 2.13), September 20237.x
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC#Java
Server operating systemsLinux
OS X
Windows
Any that supports .NETLinux
OS X
Windows
Data schemeyesyesschema-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 indexesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
ODBC
.NetHTTP API
Jupyter
WebSocket
Supported programming languagesJava
Python
R
Scala
.Net
Server-side scripts infoStored proceduresnonoyes infoWarpScript
TriggersnoCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoBased on Windows AuthenticationMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Spark SQLVelocityDBWarp 10
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