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DBMS > Teradata vs. Tigris vs. VelocityDB vs. Vitess

System Properties Comparison Teradata vs. Tigris vs. VelocityDB vs. Vitess

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Editorial information provided by DB-Engines
NameTeradata  Xexclude from comparisonTigris  Xexclude from comparisonVelocityDB  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionA hybrid cloud data analytics software platform (Teradata Vantage)A horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructureA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Graph DBMS
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score41.47
Rank#22  Overall
#15  Relational DBMS
Score0.05
Rank#359  Overall
#50  Document stores
#52  Key-value stores
#23  Search engines
#37  Time Series DBMS
Score0.00
Rank#385  Overall
#40  Graph DBMS
#21  Object oriented DBMS
Score0.86
Rank#202  Overall
#95  Relational DBMS
Websitewww.teradata.comwww.tigrisdata.comvelocitydb.comvitess.io
Technical documentationdocs.teradata.comwww.tigrisdata.com/­docsvelocitydb.com/­UserGuidevitess.io/­docs
DeveloperTeradataTigris Data, Inc.VelocityDB IncThe Linux Foundation, PlanetScale
Initial release1984202220112013
Current releaseTeradata Vantage 1.0 MU2, January 20197.x15.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0, commercial licenses 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 languageC#Go
Server operating systemshosted
Linux
Linux
macOS
Windows
Any that supports .NETDocker
Linux
macOS
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.yesnono
Secondary indexesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyesyesyes
SQL infoSupport of SQLyes infoSQL 2016 + extensionsnonoyes infowith proprietary extensions
APIs and other access methods.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
CLI Client
gRPC
RESTful HTTP API
.NetADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Go
Java
JavaScript (Node.js)
.NetAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoUDFs, stored procedures, table functions in parallelnonoyes infoproprietary syntax
TriggersyesnoCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoHashingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes, using FoundationDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesBased on Windows AuthenticationUsers with fine-grained authorization concept infono user groups or roles

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More resources
TeradataTigrisVelocityDBVitess
DB-Engines blog posts

Teradata is the most popular data warehouse DBMS
2 April 2013, Paul Andlinger

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