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DBMS > Hive vs. NuoDB vs. Teradata Aster vs. WakandaDB vs. YTsaurus

System Properties Comparison Hive vs. NuoDB vs. Teradata Aster vs. WakandaDB vs. YTsaurus

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonNuoDB  Xexclude from comparisonTeradata Aster  Xexclude from comparisonWakandaDB  Xexclude from comparisonYTsaurus  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopNuoDB is a webscale distributed database that supports SQL and ACID transactionsPlatform for big data analytics on multistructured data sources and typesWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access dataYTsaurus is an open source platform for distributed storage and processing.
Primary database modelRelational DBMSRelational DBMSRelational DBMSObject oriented DBMSDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Score0.21
Rank#324  Overall
#45  Document stores
#48  Key-value stores
Websitehive.apache.orgwww.3ds.com/­nuodb-distributed-sql-databasewakanda.github.ioytsaurus.tech
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedoc.nuodb.comwakanda.github.io/­docytsaurus.tech/­docs/­en
DeveloperApache Software Foundation infoinitially developed by FacebookDassault Systèmes infooriginally NuoDB, Inc.TeradataWakanda SASYandex
Initial release20122013200520122023
Current release3.1.3, April 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infolimited edition freecommercialOpen Source infoAGPLv3, extended commercial license availableOpen Source infoApache License, Version 2.0
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++, JavaScriptC++
Server operating systemsAll OS with a Java VMhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
LinuxLinux
OS X
Windows
Ubuntu
Data schemeyesyesFlexible 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 dateyesyesyesyesyes
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.noyes infoin Aster File Storenono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesnoYQL, an SQL-based language, is supported
APIs and other access methodsJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
Python
R
JavaScriptC++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJava, SQLR packagesyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingdata is dynamically stored/cached on the nodes where it is read/writtenShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoManaged transparently by NuoDByes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes infoSQL Map-Reduce Frameworknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infotunable commit protocolACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTemporary tablenono
User concepts infoAccess controlAccess rights for users, groups and rolesStandard SQL roles/ privileges, Administrative Usersfine grained access rights according to SQL-standardyesAccess Control Lists

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More resources
HiveNuoDBTeradata AsterWakandaDBYTsaurus
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