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DBMS > Databend vs. ReductStore vs. Sphinx

System Properties Comparison Databend vs. ReductStore vs. Sphinx

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonReductStore  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityDesigned 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.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitegithub.com/­datafuselabs/­databend
www.databend.com
github.com/­reductstore
www.reduct.store
sphinxsearch.com
Technical documentationdocs.databend.comwww.reduct.store/­docssphinxsearch.com/­docs
DeveloperDatabend LabsReductStore LLCSphinx Technologies Inc.
Initial release202120232001
Current release1.0.59, April 20231.9, March 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBusiness Source License 1.1Open Source infoGPL version 2, commercial licence available
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 languageRustC++, RustC++
Server operating systemshosted
Linux
macOS
Docker
Linux
macOS
Windows
FreeBSD
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 SQLyesSQL-like query language (SphinxQL)
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
HTTP APIProprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C++
JavaScript (Node.js)
Python
Rust
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 nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
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 datayesno
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.
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesno

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DatabendReductStoreSphinx
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