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DBMS > Hive vs. LMDB vs. mSQL vs. Prometheus vs. Sphinx

System Properties Comparison Hive vs. LMDB vs. mSQL vs. Prometheus vs. Sphinx

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonLMDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonPrometheus  Xexclude from comparisonSphinx  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA high performant, light-weight, embedded key-value database librarymSQL (Mini SQL) is a simple and lightweight RDBMSOpen-source Time Series DBMS and monitoring systemOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSKey-value storeRelational DBMSTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitehive.apache.orgwww.symas.com/­symas-embedded-database-lmdbhughestech.com.au/­products/­msqlprometheus.iosphinxsearch.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.lmdb.tech/­docprometheus.io/­docssphinxsearch.com/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookSymasHughes TechnologiesSphinx Technologies Inc.
Initial release20122011199420152001
Current release3.1.3, April 20220.9.32, January 20244.4, October 20213.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Sourcecommercial infofree licenses can be providedOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence available
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 languageJavaCCGoC++
Server operating systemsAll OS with a Java VMLinux
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric 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.nonono infoImport of XML data possible
Secondary indexesyesnoyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like DML and DDL statementsnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
ODBC
RESTful HTTP/JSON APIProprietary protocol
Supported programming languagesC++
Java
PHP
Python
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenononono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonenoneyes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistencynonenone
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
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 rolesnononono

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More resources
HiveLMDBmSQL infoMini SQLPrometheusSphinx
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