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DBMS > Apache Druid vs. Quasardb vs. Teradata Aster vs. Trafodion vs. Transwarp Hippo

System Properties Comparison Apache Druid vs. Quasardb vs. Teradata Aster vs. Trafodion vs. Transwarp Hippo

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonQuasardb  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTrafodion  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.Apache Trafodion has been retired in 2021. 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 dataDistributed, high-performance timeseries databasePlatform for big data analytics on multistructured data sources and typesTransactional SQL-on-Hadoop DBMSCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSRelational DBMSRelational DBMSVector 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
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.05
Rank#386  Overall
#16  Vector DBMS
Websitedruid.apache.orgquasar.aitrafodion.apache.orgwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationdruid.apache.org/­docs/­latest/­designdoc.quasar.ai/­mastertrafodion.apache.org/­documentation.html
DeveloperApache Software Foundation and contributorsquasardbTeradataApache Software Foundation, originally developed by HP
Initial release20122009200520142023
Current release29.0.1, April 20243.14.1, January 20242.3.0, February 20191.0, May 2023
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 infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++, JavaC++
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Windows
LinuxLinuxLinux
macOS
Data schemeyes infoschema-less columns are supportedschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyesyesVector, Numeric and String
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.nonoyes infoin Aster File Storenono
Secondary indexesyesyes infowith tagsyesyesno
SQL infoSupport of SQLSQL for queryingSQL-like query languageyesyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP APIADO.NET
JDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
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#
C++
Java
Python
R
All languages supporting JDBC/ODBC/ADO.NetC++
Java
Python
Server-side scripts infoStored proceduresnonoR packagesJava Stored Proceduresno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoconsistent hashingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replication with selectable replication factoryes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationyes infoSQL Map-Reduce Frameworkyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modenonoyes
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-standardfine grained access rights according to SQL-standardRole based access control and fine grained access rights

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More resources
Apache DruidQuasardbTeradata AsterTrafodionTranswarp Hippo
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