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DBMS > Apache Druid vs. atoti vs. IBM Cloudant vs. Teradata vs. Yanza

System Properties Comparison Apache Druid vs. atoti vs. IBM Cloudant vs. Teradata vs. Yanza

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonatoti  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonTeradata  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Database as a Service offering based on Apache CouchDBA hybrid cloud data analytics software platform (Teradata Vantage)Time Series DBMS for IoT Applications
Primary database modelRelational DBMS
Time Series DBMS
Object oriented DBMSDocument storeRelational DBMSTime Series 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
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitedruid.apache.orgatoti.iowww.ibm.com/­products/­cloudantwww.teradata.comyanza.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.atoti.iocloud.ibm.com/­docs/­Cloudantdocs.teradata.com
DeveloperApache Software Foundation and contributorsActiveViamIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014TeradataYanza
Initial release2012201019842015
Current release29.0.1, April 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree versions availablecommercialcommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonoyesnono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaErlang
Server operating systemsLinux
OS X
Unix
hostedhosted
Linux
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.nonoyesno
Secondary indexesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexno
SQL infoSupport of SQLSQL for queryingMultidimensional Expressions (MDX)noyes infoSQL 2016 + extensionsno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP/JSON API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoPythonView functions (Map-Reduce) in JavaScriptyes infoUDFs, stored procedures, table functions in parallelno
Triggersnoyesyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding, horizontal partitioningShardingSharding infoHashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a document possibleACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes infoOptimistic lockingyesyes
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.noyesnoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users can be defined per databasefine grained access rights according to SQL-standardno

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More resources
Apache DruidatotiIBM CloudantTeradataYanza
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