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DBMS > GeoSpock vs. Quasardb vs. Riak TS vs. Solr

System Properties Comparison GeoSpock vs. Quasardb vs. Riak TS vs. Solr

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonQuasardb  Xexclude from comparisonRiak TS  Xexclude from comparisonSolr  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleDistributed, high-performance timeseries databaseRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSSearch engine
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitegeospock.comquasar.aisolr.apache.org
Technical documentationdoc.quasar.ai/­masterwww.tiot.jp/­riak-docs/­riak/­ts/­latestsolr.apache.org/­resources.html
DeveloperGeoSpockquasardbOpen Source, formerly Basho TechnologiesApache Software Foundation
Initial release200920152006
Current release2.0, September 20193.14.1, January 20243.0.0, September 20229.6.0, April 2024
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen SourceOpen Source infoApache Version 2
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 languageJava, JavascriptC++ErlangJava
Server operating systemshostedBSD
Linux
OS X
Windows
Linux
OS X
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyes infointeger and binarynoyes 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.nononoyes
Secondary indexestemporal, categoricalyes infowith tagsrestrictedyes infoAll search fields are automatically indexed
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like query languageyes, limitedSolr Parallel SQL Interface
APIs and other access methodsJDBCHTTP APIHTTP API
Native Erlang Interface
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
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
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoErlangJava plugins
Triggersnonoyes infopre-commit hooks and post-commit hooksyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infoconsistent hashingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factorselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyes
User concepts infoAccess controlAccess rights for users can be defined per tableCryptographically strong user authentication and audit trailnoyes

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More resources
GeoSpockQuasardbRiak TSSolr
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