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DBMS > EXASOL vs. Splice Machine vs. Valentina Server vs. WakandaDB

System Properties Comparison EXASOL vs. Splice Machine vs. Valentina Server vs. WakandaDB

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonSplice Machine  Xexclude from comparisonValentina Server  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkObject-relational database and reports serverWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSRelational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.exasol.comsplicemachine.comwww.valentina-db.netwakanda.github.io
Technical documentationwww.exasol.com/­resourcessplicemachine.com/­how-it-worksvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpwakanda.github.io/­doc
DeveloperExasolSplice MachineParadigma SoftwareWakanda SAS
Initial release2000201419992012
Current release3.1, March 20215.7.52.7.0 (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 servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, JavaScript
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyesyesno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JDBC
Native Spark Datasource
ODBC
ODBCRESTful HTTP API
Supported programming languagesJava
Lua
Python
R
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
JavaScript
Server-side scripts infoStored proceduresuser defined functionsyes infoJavayesyes
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShared 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 infoHadoop integrationYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
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.yesyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardyes

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More resources
EXASOLSplice MachineValentina ServerWakandaDB
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