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DBMS > Hive vs. Prometheus vs. Quasardb vs. Teradata vs. WakandaDB

System Properties Comparison Hive vs. Prometheus vs. Quasardb vs. Teradata vs. WakandaDB

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparisonTeradata  Xexclude from comparisonWakandaDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopOpen-source Time Series DBMS and monitoring systemDistributed, 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 DBMSTime Series DBMSTime 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
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score8.42
Rank#47  Overall
#2  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
Websitehive.apache.orgprometheus.ioquasar.aiwww.teradata.comwakanda.github.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeprometheus.io/­docsdoc.quasar.ai/­masterdocs.teradata.comwakanda.github.io/­doc
DeveloperApache Software Foundation infoinitially developed by FacebookquasardbTeradataWakanda SAS
Initial release20122015200919842012
Current release3.1.3, April 20223.14.1, January 2024Teradata Vantage 1.0 MU2, January 20192.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercial 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 servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++C++, JavaScript
Server operating systemsAll OS with a Java VMLinux
Windows
BSD
Linux
OS X
Windows
hosted
Linux
Linux
OS X
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyes 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.no infoImport of XML data possiblenoyesno
Secondary indexesyesnoyes infowith tagsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query languageyes infoSQL 2016 + extensionsno
APIs and other access methodsJDBC
ODBC
Thrift
RESTful HTTP/JSON APIHTTP API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.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 proceduresyes infouser defined functions and integration of map-reducenonoyes infoUDFs, stored procedures, table functions in parallelyes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashingSharding infoHashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoby FederationSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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 controlAccess rights for users, groups and rolesnoCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standardyes

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HivePrometheusQuasardbTeradataWakandaDB
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