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DBMS > Ingres vs. LeanXcale vs. OushuDB vs. Teradata

System Properties Comparison Ingres vs. LeanXcale vs. OushuDB vs. Teradata

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Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonLeanXcale  Xexclude from comparisonOushuDB  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionWell established RDBMSA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSRelational 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
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score0.10
Rank#355  Overall
#154  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitewww.actian.com/­databases/­ingreswww.leanxcale.comwww.oushu.com/­product/­oushuDBwww.teradata.com
Technical documentationdocs.actian.com/­ingreswww.oushu.com/­documentationdocs.teradata.com
DeveloperActian CorporationLeanXcaleOushuTeradata
Initial release1974 infooriginally developed at University Berkely in early 1970s20151984
Current release11.2, May 20224.0.1, August 2020Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
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
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linuxhosted
Linux
Data schemeyesyesyesyes
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.no infobut tools for importing/exporting data from/to XML-files availableyes
Secondary indexesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyesyes infothrough Apache DerbyFull-featured ANSI SQL supportyes infoSQL 2016 + extensions
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC
Java
Scala
C
C++
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesyesyes infoUDFs, stored procedures, table functions in parallel
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslyyesSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesIngres ReplicatorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyesyesyes
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 controlfine grained access rights according to SQL-standardKerberos, SSL and role based accessfine grained access rights according to SQL-standard

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More resources
IngresLeanXcaleOushuDBTeradata
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