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DBMS > ReductStore vs. SpaceTime vs. Sphinx

System Properties Comparison ReductStore vs. SpaceTime vs. Sphinx

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Editorial information provided by DB-Engines
NameReductStore  Xexclude from comparisonSpaceTime  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.SpaceTime is a spatio-temporal DBMS with a focus on performance.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSSpatial DBMSSearch engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitegithub.com/­reductstore
www.reduct.store
www.mireo.com/­spacetimesphinxsearch.com
Technical documentationwww.reduct.store/­docssphinxsearch.com/­docs
DeveloperReductStore LLCMireoSphinx Technologies Inc.
Initial release202320202001
Current release1.9, March 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoBusiness Source License 1.1commercialOpen 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 languageC++, RustC++C++
Server operating systemsDocker
Linux
macOS
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesno
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 indexesnoyes infofull-text index on all search fields
SQL infoSupport of SQLA subset of ANSI SQL is implementedSQL-like query language (SphinxQL)
APIs and other access methodsHTTP APIRESTful HTTP APIProprietary protocol
Supported programming languagesC++
JavaScript (Node.js)
Python
Rust
C#
C++
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesFixed-grid hypercubesSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesReal-time block device replication (DRBD)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes 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 controlyesno

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More resources
ReductStoreSpaceTimeSphinx
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