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DBMS > Apache Druid vs. OrigoDB vs. Teradata vs. Valentina Server

System Properties Comparison Apache Druid vs. OrigoDB vs. Teradata vs. Valentina Server

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonOrigoDB  Xexclude from comparisonTeradata  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA fully ACID in-memory object graph databaseA hybrid cloud data analytics software platform (Teradata Vantage)Object-relational database and reports server
Primary database modelRelational DBMS
Time Series DBMS
Document store
Object oriented 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
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Score47.84
Rank#21  Overall
#15  Relational DBMS
Score0.18
Rank#329  Overall
#144  Relational DBMS
Websitedruid.apache.orgorigodb.comwww.teradata.comwww.valentina-db.net
Technical documentationdruid.apache.org/­docs/­latest/­designorigodb.com/­docsdocs.teradata.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation and contributorsRobert Friberg et alTeradataParadigma Software
Initial release20122009 infounder the name LiveDB19841999
Current release29.0.1, April 2024Teradata Vantage 1.0 MU2, January 20195.7.5
License infoCommercial or Open SourceOpen Source infoApache license v2Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#
Server operating systemsLinux
OS X
Unix
Linux
Windows
hosted
Linux
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyesyes
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.nono infocan be achieved using .NETyes
Secondary indexesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLSQL for queryingnoyes infoSQL 2016 + extensionsyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
.NET Client API
HTTP API
LINQ
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.NetC
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyesyes infoUDFs, stored procedures, table functions in parallelyes
Triggersnoyes infoDomain Eventsyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationMulti-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 Consistency
Foreign keys infoReferential integritynodepending on modelyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemRole based authorizationfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache DruidOrigoDBTeradataValentina Server
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