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DBMS > SpaceTime vs. SQream DB vs. Teradata vs. VelocityDB

System Properties Comparison SpaceTime vs. SQream DB vs. Teradata vs. VelocityDB

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Editorial information provided by DB-Engines
NameSpaceTime  Xexclude from comparisonSQream DB  Xexclude from comparisonTeradata  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionSpaceTime is a spatio-temporal DBMS with a focus on performance.a GPU-based, columnar RDBMS for big data analytics workloadsA hybrid cloud data analytics software platform (Teradata Vantage)A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelSpatial DBMSRelational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#16  Object oriented DBMS
Websitewww.mireo.com/­spacetimesqream.comwww.teradata.comvelocitydb.com
Technical documentationdocs.sqream.comdocs.teradata.comvelocitydb.com/­UserGuide
DeveloperMireoSQream TechnologiesTeradataVelocityDB Inc
Initial release2020201719842011
Current release2022.1.6, December 2022Teradata Vantage 1.0 MU2, January 20197.x
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, CUDA, Haskell, Java, ScalaC#
Server operating systemsLinuxLinuxhosted
Linux
Any that supports .NET
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyesyes
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.noyesno
Secondary indexesnonoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLA subset of ANSI SQL is implementedyesyes infoSQL 2016 + extensionsno
APIs and other access methodsRESTful HTTP API.Net
JDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
.Net
Supported programming languagesC#
C++
Python
C++
Java
JavaScript (Node.js)
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
.Net
Server-side scripts infoStored proceduresnouser defined functions in Pythonyes infoUDFs, stored procedures, table functions in parallelno
TriggersnonoyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesFixed-grid hypercubeshorizontal and vertical partitioningSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesReal-time block device replication (DRBD)noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
SpaceTimeSQream DBTeradataVelocityDB
DB-Engines blog posts

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

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