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DBMS > Splice Machine vs. Teradata vs. WakandaDB

System Properties Comparison Splice Machine vs. Teradata vs. WakandaDB

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Editorial information provided by DB-Engines
NameSplice Machine  Xexclude from comparisonTeradata  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA hybrid cloud data analytics software platform (Teradata Vantage)WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSObject oriented DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.54
Rank#255  Overall
#116  Relational DBMS
Score47.84
Rank#21  Overall
#15  Relational DBMS
Score0.09
Rank#352  Overall
#16  Object oriented DBMS
Websitesplicemachine.comwww.teradata.comwakanda.github.io
Technical documentationsplicemachine.com/­how-it-worksdocs.teradata.comwakanda.github.io/­doc
DeveloperSplice MachineTeradataWakanda SAS
Initial release201419842012
Current release3.1, March 2021Teradata Vantage 1.0 MU2, January 20192.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoAGPL 3.0, commercial license availablecommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
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
hosted
Linux
Linux
OS X
Windows
Data schemeyesyesyes
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.yesno
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyesyes infoSQL 2016 + extensionsno
APIs and other access methodsJDBC
Native Spark Datasource
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
JavaScript
Server-side scripts infoStored proceduresyes infoJavayes infoUDFs, stored procedures, table functions in parallelyes
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShared Nothhing Auto-Sharding, Columnar PartitioningSharding infoHashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
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.yesyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardyes

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More resources
Splice MachineTeradataWakandaDB
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