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DBMS > OrigoDB vs. Splice Machine vs. WakandaDB

System Properties Comparison OrigoDB vs. Splice Machine vs. WakandaDB

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Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionA fully ACID in-memory object graph databaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Object oriented DBMS
Relational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#379  Overall
#51  Document stores
#18  Object oriented DBMS
Score0.54
Rank#257  Overall
#118  Relational DBMS
Score0.06
Rank#374  Overall
#17  Object oriented DBMS
Websiteorigodb.comsplicemachine.comwakanda.github.io
Technical documentationorigodb.com/­docssplicemachine.com/­how-it-workswakanda.github.io/­doc
DeveloperRobert Friberg et alSplice MachineWakanda SAS
Initial release2009 infounder the name LiveDB20142012
Current release3.1, March 20212.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen SourceOpen Source infoAGPL 3.0, commercial license availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#JavaC++, JavaScript
Server operating systemsLinux
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsyesyes
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.no infocan be achieved using .NETno
Secondary indexesyesyes
SQL infoSupport of SQLnoyesno
APIs and other access methods.NET Client API
HTTP API
LINQ
JDBC
Native Spark Datasource
ODBC
RESTful HTTP API
Supported programming languages.NetC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript
Server-side scripts infoStored proceduresyesyes infoJavayes
Triggersyes infoDomain Eventsyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritydepending on modelyes
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 persistentyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlRole based authorizationAccess rights for users, groups and roles according to SQL-standardyes

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More resources
OrigoDBSplice MachineWakandaDB
Recent citations in the news

Machine learning data pipeline outfit Splice Machine files for insolvency
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provided by Google News



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