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DBMS > Solr vs. Sqrrl vs. WakandaDB vs. Yanza

System Properties Comparison Solr vs. Sqrrl vs. WakandaDB vs. Yanza

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Editorial information provided by DB-Engines
NameSolr  Xexclude from comparisonSqrrl  Xexclude from comparisonWakandaDB  Xexclude from comparisonYanza  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA widely used distributed, scalable search engine based on Apache LuceneAdaptable, secure NoSQL built on Apache AccumuloWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access dataTime Series DBMS for IoT Applications
Primary database modelSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Object oriented DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score42.91
Rank#24  Overall
#3  Search engines
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitesolr.apache.orgsqrrl.comwakanda.github.ioyanza.com
Technical documentationsolr.apache.org/­resources.htmlwakanda.github.io/­doc
DeveloperApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.Wakanda SASYanza
Initial release2006201220122015
Current release9.6.0, April 20242.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoAGPLv3, extended commercial license availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++, JavaScript
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxLinux
OS X
Windows
Windows
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes infosupports customizable data types and automatic typingyesyesno
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.yesnono
Secondary indexesyes infoAll search fields are automatically indexedyesno
SQL infoSupport of SQLSolr Parallel SQL Interfacenonono
APIs and other access methodsJava API
RESTful HTTP/JSON API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
RESTful HTTP APIHTTP API
Supported programming languages.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
JavaScriptany language that supports HTTP calls
Server-side scripts infoStored proceduresJava pluginsnoyesno
Triggersyes infoUser configurable commands triggered on index changesnoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomaking use of Hadoopnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infomaking use of Hadoopnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingAtomic updates per row, document, or graph entityACIDno
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.yesno
User concepts infoAccess controlyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)yesno

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More resources
SolrSqrrlWakandaDBYanza
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