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DBMS > ReductStore vs. Solr vs. Warp 10

System Properties Comparison ReductStore vs. Solr vs. Warp 10

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Editorial information provided by DB-Engines
NameReductStore  Xexclude from comparisonSolr  Xexclude from comparisonWarp 10  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.A widely used distributed, scalable search engine based on Apache LuceneTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelTime Series DBMSSearch engineTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitegithub.com/­reductstore
www.reduct.store
solr.apache.orgwww.warp10.io
Technical documentationwww.reduct.store/­docssolr.apache.org/­resources.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperReductStore LLCApache Software FoundationSenX
Initial release202320062015
Current release1.9, March 20249.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoBusiness Source License 1.1Open Source infoApache Version 2Open Source infoApache License 2.0
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 languageC++, RustJavaJava
Server operating systemsDocker
Linux
macOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyes infosupports customizable data types and automatic typingyes
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.yesno
Secondary indexesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLSolr Parallel SQL Interfaceno
APIs and other access methodsHTTP APIJava API
RESTful HTTP/JSON API
HTTP API
Jupyter
WebSocket
Supported programming languagesC++
JavaScript (Node.js)
Python
Rust
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresJava pluginsyes infoWarpScript
Triggersyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
ReductStoreSolrWarp 10
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