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DBMS > Drizzle vs. Teradata vs. TerminusDB vs. Tkrzw vs. VelocityDB

System Properties Comparison Drizzle vs. Teradata vs. TerminusDB vs. Tkrzw vs. VelocityDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonTeradata  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonVelocityDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A hybrid cloud data analytics software platform (Teradata Vantage)Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSRelational DBMSGraph DBMSKey-value storeGraph DBMS
Object oriented DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.teradata.comterminusdb.comdbmx.net/­tkrzwvelocitydb.com
Technical documentationdocs.teradata.comterminusdb.github.io/­terminusdb/­#velocitydb.com/­UserGuide
DeveloperDrizzle project, originally started by Brian AkerTeradataDataChemist Ltd.Mikio HirabayashiVelocityDB Inc
Initial release20081984201820202011
Current release7.2.4, September 2012Teradata Vantage 1.0 MU2, January 201911.0.0, January 20230.9.3, August 20207.x
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoGPL V3Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Prolog, RustC++C#
Server operating systemsFreeBSD
Linux
OS X
hosted
Linux
LinuxLinux
macOS
Any that supports .NET
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.yesnonono
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLyes infowith proprietary extensionsyes infoSQL 2016 + extensionsSQL-like query language (WOQL)nono
APIs and other access methodsJDBC.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
.Net
Supported programming languagesC
C++
Java
PHP
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
JavaScript
Python
C++
Java
Python
Ruby
.Net
Server-side scripts infoStored proceduresnoyes infoUDFs, stored procedures, table functions in parallelyesnono
Triggersno infohooks for callbacks inside the server can be used.yesyesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoHashingGraph PartitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Journaling Streamsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing specific database classesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardRole-based access controlnoBased on Windows Authentication

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More resources
DrizzleTeradataTerminusDB infoformer name was DataChemistTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetVelocityDB
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