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DBMS > Hive vs. IBM Db2 warehouse vs. MaxDB vs. Prometheus vs. Riak KV

System Properties Comparison Hive vs. IBM Db2 warehouse vs. MaxDB vs. Prometheus vs. Riak KV

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonPrometheus  Xexclude from comparisonRiak KV  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopCloud-based data warehousing serviceA robust and reliable RDBMS optimized to run all major SAP solutionsOpen-source Time Series DBMS and monitoring systemDistributed, fault tolerant key-value store
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score2.32
Rank#112  Overall
#55  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitehive.apache.orgwww.ibm.com/­products/­db2/­warehousemaxdb.sap.comprometheus.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homemaxdb.sap.com/­documentationprometheus.io/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software Foundation infoinitially developed by FacebookIBMSAP, acquired from Software AG (Adabas-D) in 1997OpenSource, formerly Basho Technologies
Initial release20122014198420152009
Current release3.1.3, April 20227.9.10.12, February 20243.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infoLimited community edition freeOpen Source infoApache 2.0Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++GoErlang
Server operating systemsAll OS with a Java VMhostedAIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Linux
OS X
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyno
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/export of XML data possiblenono infoImport of XML data possibleno
Secondary indexesyesyesyesnorestricted
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesnono
APIs and other access methodsJDBC
ODBC
Thrift
.NET Client API
JDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
WebDAV
RESTful HTTP/JSON APIHTTP API
Native Erlang Interface
Supported programming languagesC++
Java
PHP
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C#
Java
Perl
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducePL/SQL, SQL PLyesnoErlang
Triggersnoyesyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesSource-replica replicationyes infoby Federationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynoyesyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnono
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnoyes, using Riak Security

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More resources
HiveIBM Db2 warehouse infoformerly named IBM dashDBMaxDB infoformerly named Adabas-DPrometheusRiak KV
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