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DBMS > Quasardb vs. Solr vs. Speedb vs. WakandaDB

System Properties Comparison Quasardb vs. Solr vs. Speedb vs. WakandaDB

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Editorial information provided by DB-Engines
NameQuasardb  Xexclude from comparisonSolr  Xexclude from comparisonSpeedb  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionDistributed, high-performance timeseries databaseA widely used distributed, scalable search engine based on Apache LuceneAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDBWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelTime Series DBMSSearch engineKey-value storeObject oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.21
Rank#315  Overall
#45  Key-value stores
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitequasar.aisolr.apache.orgwww.speedb.iowakanda.github.io
Technical documentationdoc.quasar.ai/­mastersolr.apache.org/­resources.htmlwakanda.github.io/­doc
DeveloperquasardbApache Software FoundationSpeedbWakanda SAS
Initial release2009200620202012
Current release3.14.1, January 20249.6.0, April 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2Open Source infoApache Version 2.0; commercial license availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++C++, JavaScript
Server operating systemsBSD
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeyes
Typing infopredefined data types such as float or dateyes infointeger and binaryyes infosupports customizable data types and automatic typingnoyes
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.noyesnono
Secondary indexesyes infowith tagsyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLSQL-like query languageSolr Parallel SQL Interfacenono
APIs and other access methodsHTTP APIJava API
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languages.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C++
Go
Java
Perl
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnoJava pluginsnoyes
Triggersnoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factoryesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using LevelDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeyesyesno
User concepts infoAccess controlCryptographically strong user authentication and audit trailyesnoyes
More information provided by the system vendor
QuasardbSolrSpeedbWakandaDB
Specific characteristicsSpeedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantagesSpeedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» more
Licensing and pricing modelsOpen source - Speedb OSS is released under an Apache license and can be found on...
» more

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QuasardbSolrSpeedbWakandaDB
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