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DBMS > atoti vs. Sadas Engine vs. Teradata vs. Ultipa

System Properties Comparison atoti vs. Sadas Engine vs. Teradata vs. Ultipa

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonSadas Engine  Xexclude from comparisonTeradata  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA hybrid cloud data analytics software platform (Teradata Vantage)High performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSGraph 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
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websiteatoti.iowww.sadasengine.comwww.teradata.comwww.ultipa.com
Technical documentationdocs.atoti.iowww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.teradata.comwww.ultipa.com/­document
DeveloperActiveViamSADAS s.r.l.TeradataUltipa
Initial release200619842019
Current release8.0Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial infofree trial version availablecommercialcommercial
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 languageJavaC++
Server operating systemsAIX
Linux
Windows
hosted
Linux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.noyes
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
ODBC
Proprietary protocol
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
RESTful HTTP API
Supported programming languages.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresPythonnoyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioninghorizontal partitioningSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-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 Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
atotiSadas EngineTeradataUltipa
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