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DBMS > Amazon DynamoDB vs. Apache Pinot vs. Hive vs. IBM Db2 vs. Netezza

System Properties Comparison Amazon DynamoDB vs. Apache Pinot vs. Hive vs. IBM Db2 vs. Netezza

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonApache Pinot  Xexclude from comparisonHive  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencydata warehouse software for querying and managing large distributed datasets, built on HadoopCommon in IBM host environments, 2 different versions for host and Windows/LinuxData warehouse and analytics appliance part of IBM PureSystems
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMS
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websiteaws.amazon.com/­dynamodbpinot.apache.orghive.apache.orgwww.ibm.com/­products/­db2www.ibm.com/­products/­netezza
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.pinot.apache.orgcwiki.apache.org/­confluence/­display/­Hive/­Homewww.ibm.com/­docs/­en/­db2
DeveloperAmazonApache Software Foundation and contributorsApache Software Foundation infoinitially developed by FacebookIBMIBM
Initial release2012201520121983 infohost version2000
Current release1.0.0, September 20233.1.3, April 202212.1, October 2016
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2.0Open Source infoApache Version 2commercial infofree version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC and C++
Server operating systemshostedAll OS with a Java JDK11 or higherAll OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
z/OS
Linux infoincluded in appliance
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statementsyesyes
APIs and other access methodsRESTful HTTP APIJDBCJDBC
ODBC
Thrift
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
JDBC
ODBC
OLE DB
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Go
Java
Python
C++
Java
PHP
Python
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyesyes
Triggersyes infoby integration with AWS Lambdanoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingSharding infoonly with Windows/Unix/Linux VersionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes infowith separate tools (MQ, InfoSphere)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and rolesfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
Amazon DynamoDBApache PinotHiveIBM Db2 infoformerly named DB2 or IBM Database 2Netezza infoAlso called PureData System for Analytics by IBM
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