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DBMS > Rockset vs. Sequoiadb vs. Solr vs. TimescaleDB

System Properties Comparison Rockset vs. Sequoiadb vs. Solr vs. TimescaleDB

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Editorial information provided by DB-Engines
NameRockset  Xexclude from comparisonSequoiadb  Xexclude from comparisonSolr  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionA scalable, reliable search and analytics service in the cloud, built on RocksDBNewSQL database with distributed OLTP and SQLA widely used distributed, scalable search engine based on Apache LuceneA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument storeDocument store
Relational DBMS
Search engineTime Series DBMS
Secondary database modelsRelational DBMS
Search engine
Spatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#35  Document stores
Score0.48
Rank#260  Overall
#41  Document stores
#121  Relational DBMS
Score44.28
Rank#24  Overall
#3  Search engines
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websiterockset.comwww.sequoiadb.comsolr.apache.orgwww.timescale.com
Technical documentationdocs.rockset.comwww.sequoiadb.com/­en/­index.php?m=Files&a=indexsolr.apache.org/­resources.htmldocs.timescale.com
DeveloperRocksetSequoiadb Ltd.Apache Software FoundationTimescale
Initial release2019201320062017
Current release9.5.0, February 20242.13.0, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++JavaC
Server operating systemshostedLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Data schemeschema-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or datedynamic typingyes infooid, date, timestamp, binary, regexyes infosupports customizable data types and automatic typingnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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 infoingestion from XML files supportednoyesyes
Secondary indexesall fields are automatically indexedyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLRead-only SQL queries, including JOINsSQL-like query languageSolr Parallel SQL Interfaceyes infofull PostgreSQL SQL syntax
APIs and other access methodsHTTP RESTproprietary protocol using JSONJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
C++
Java
PHP
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoJavaScriptJava pluginsuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoDocument is locked during a transactionoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users and organizations can be defined via Rockset consolesimple password-based access controlyesfine grained access rights according to SQL-standard

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More resources
RocksetSequoiadbSolrTimescaleDB
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