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DBMS > ReductStore vs. Riak TS vs. Rockset vs. Solr

System Properties Comparison ReductStore vs. Riak TS vs. Rockset vs. Solr

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Editorial information provided by DB-Engines
NameReductStore  Xexclude from comparisonRiak TS  Xexclude from comparisonRockset  Xexclude from comparisonSolr  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.Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA scalable, reliable search and analytics service in the cloud, built on RocksDBA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelTime Series DBMSTime Series DBMSDocument storeSearch engine
Secondary database modelsRelational DBMS
Search engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score41.02
Rank#24  Overall
#3  Search engines
Websitegithub.com/­reductstore
www.reduct.store
rockset.comsolr.apache.org
Technical documentationwww.reduct.store/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.rockset.comsolr.apache.org/­resources.html
DeveloperReductStore LLCOpen Source, formerly Basho TechnologiesRocksetApache Software Foundation
Initial release2023201520192006
Current release1.9, March 20243.0.0, September 20229.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoBusiness Source License 1.1Open SourcecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, RustErlangC++Java
Server operating systemsDocker
Linux
macOS
Windows
Linux
OS X
hostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenodynamic typingyes infosupports customizable data types and automatic typing
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 infoingestion from XML files supportedyes
Secondary indexesrestrictedall fields are automatically indexedyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes, limitedRead-only SQL queries, including JOINsSolr Parallel SQL Interface
APIs and other access methodsHTTP APIHTTP API
Native Erlang Interface
HTTP RESTJava API
RESTful HTTP/JSON API
Supported programming languagesC++
JavaScript (Node.js)
Python
Rust
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Go
Java
JavaScript (Node.js)
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresErlangnoJava plugins
Triggersyes infopre-commit hooks and post-commit hooksnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infolinks between datasets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnoAccess rights for users and organizations can be defined via Rockset consoleyes

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More resources
ReductStoreRiak TSRocksetSolr
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