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DBMS > QuestDB vs. RocksDB vs. Sphinx

System Properties Comparison QuestDB vs. RocksDB vs. Sphinx

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Editorial information provided by DB-Engines
NameQuestDB  Xexclude from comparisonRocksDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA high performance, low latency Time Series DBMSEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSKey-value storeSearch engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#266  Overall
#20  Time Series DBMS
Score3.65
Rank#86  Overall
#14  Key-value stores
Score6.47
Rank#59  Overall
#7  Search engines
Websitequestdb.iorocksdb.orgsphinxsearch.com
Technical documentationquestdb.io/­docs/­introductiongithub.com/­facebook/­rocksdb/­wikisphinxsearch.com/­docs
DeveloperQuestDB LimitedFacebook, Inc.Sphinx Technologies Inc.
Initial release201420132001
Current release6.11.4, July 20203.2.1, January 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSDOpen 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 languageJavaC++C++
Server operating systemsLinux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnono
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
Secondary indexesnonoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language (SphinxQL)
APIs and other access methodsHTTP RESTC++ API
Java API
Proprietary protocol
Supported programming languagesJavaC++
Java
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by timestamps)noneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID for single-table writesyesno
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.noyes
User concepts infoAccess controlnono

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More resources
QuestDBRocksDBSphinx
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