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DBMS > Apache Pinot vs. Hive vs. MaxDB vs. Prometheus

System Properties Comparison Apache Pinot vs. Hive vs. MaxDB vs. Prometheus

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonHive  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencydata warehouse software for querying and managing large distributed datasets, built on HadoopA robust and reliable RDBMS optimized to run all major SAP solutionsOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score2.32
Rank#112  Overall
#55  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitepinot.apache.orghive.apache.orgmaxdb.sap.comprometheus.io
Technical documentationdocs.pinot.apache.orgcwiki.apache.org/­confluence/­display/­Hive/­Homemaxdb.sap.com/­documentationprometheus.io/­docs
DeveloperApache Software Foundation and contributorsApache Software Foundation infoinitially developed by FacebookSAP, acquired from Software AG (Adabas-D) in 1997
Initial release2015201219842015
Current release1.0.0, September 20233.1.3, April 20227.9.10.12, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2commercial infoLimited community edition freeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Go
Server operating systemsAll OS with a Java JDK11 or higherAll OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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.nono infoImport of XML data possible
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBCJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
WebDAV
RESTful HTTP/JSON API
Supported programming languagesGo
Java
Python
C++
Java
PHP
Python
.Net
C#
Java
Perl
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardno

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Apache PinotHiveMaxDB infoformerly named Adabas-DPrometheus
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