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DBMS > Hive vs. LeanXcale vs. Prometheus

System Properties Comparison Hive vs. LeanXcale vs. Prometheus

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonLeanXcale  Xexclude from comparisonPrometheus  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSKey-value store
Relational 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
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitehive.apache.orgwww.leanxcale.comprometheus.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeprometheus.io/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookLeanXcale
Initial release201220152015
Current release3.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemsAll OS with a Java VMLinux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesNumeric 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.no infoImport of XML data possible
Secondary indexesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infothrough Apache Derbyno
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
RESTful HTTP/JSON API
Supported programming languagesC++
Java
PHP
Python
C
Java
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes 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.yesno
User concepts infoAccess controlAccess rights for users, groups and rolesno

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HiveLeanXcalePrometheus
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