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DBMS > Apache Druid vs. Quasardb vs. Teradata vs. WakandaDB

System Properties Comparison Apache Druid vs. Quasardb vs. Teradata vs. WakandaDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonQuasardb  Xexclude from comparisonTeradata  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDistributed, high-performance timeseries databaseA hybrid cloud data analytics software platform (Teradata Vantage)WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSRelational DBMSObject oriented 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
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitedruid.apache.orgquasar.aiwww.teradata.comwakanda.github.io
Technical documentationdruid.apache.org/­docs/­latest/­designdoc.quasar.ai/­masterdocs.teradata.comwakanda.github.io/­doc
DeveloperApache Software Foundation and contributorsquasardbTeradataWakanda SAS
Initial release2012200919842012
Current release29.0.1, April 20243.14.1, January 2024Teradata Vantage 1.0 MU2, January 20192.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, JavaScript
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Windows
hosted
Linux
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyesyes
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 indexesyesyes infowith tagsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL for queryingSQL-like query languageyes infoSQL 2016 + extensionsno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
JavaScript
Server-side scripts infoStored proceduresnonoyes infoUDFs, stored procedures, table functions in parallelyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoconsistent hashingSharding infoHashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
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 persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standardyes

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More resources
Apache DruidQuasardbTeradataWakandaDB
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