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DBMS > Hive vs. QuestDB vs. Sphinx

System Properties Comparison Hive vs. QuestDB vs. Sphinx

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonQuestDB  Xexclude from comparisonSphinx  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA high performance, low latency Time Series DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSTime Series DBMSSearch engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score75.29
Rank#15  Overall
#10  Relational DBMS
Score0.25
Rank#265  Overall
#20  Time Series DBMS
Score6.45
Rank#57  Overall
#6  Search engines
Websitehive.apache.orgwww.questdb.iosphinxsearch.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.questdb.io/­docs/­documentationOverviewsphinxsearch.com/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookQuestDB LimitedSphinx Technologies Inc.
Initial release201220142001
Current release3.1.2, August 20193.2.1, January 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoAGPL 3.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesno
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
Secondary indexesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
Thrift
HTTP RESTProprietary protocol
Supported programming languagesC++
Java
PHP
Python
JavaC++ 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-reducenono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)Sharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonenone
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 Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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.no
User concepts infoAccess controlAccess rights for users, groups and rolesno

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