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DBMS > Badger vs. Coveo vs. GBase vs. NuoDB vs. Solr

System Properties Comparison Badger vs. Coveo vs. GBase vs. NuoDB vs. Solr

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonCoveo  Xexclude from comparisonGBase  Xexclude from comparisonNuoDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.NuoDB is a webscale distributed database that supports SQL and ACID transactionsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value storeSearch engineRelational DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score2.11
Rank#118  Overall
#11  Search engines
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitegithub.com/­dgraph-io/­badgerwww.coveo.comwww.gbase.cnwww.3ds.com/­nuodb-distributed-sql-databasesolr.apache.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.coveo.comdoc.nuodb.comsolr.apache.org/­resources.html
DeveloperDGraph LabsCoveoGeneral Data Technology Co., Ltd.Dassault Systèmes infooriginally NuoDB, Inc.Apache Software Foundation
Initial release20172012200420132006
Current releaseGBase 8a, GBase 8s, GBase 8c9.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercial infolimited edition freeOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, Java, PythonC++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenoyesyesyesyes 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.nonoyesnoyes
Secondary indexesnoyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonoStandard with numerous extensionsyesSolr Parallel SQL Interface
APIs and other access methodsRESTful HTTP APIADO.NET
C API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesGoC#
Java
JavaScript
Python
C#.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonouser defined functionsJava, SQLJava plugins
Triggersnoyesyesyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneyeshorizontal partitioning (by range, list and hash) and vertical partitioningdata is dynamically stored/cached on the nodes where it is read/writtenSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyesyes infoManaged transparently by NuoDByes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACID infotunable commit protocoloptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTemporary tableyes
User concepts infoAccess controlnogranular access controls, API key management, content filtersyesStandard SQL roles/ privileges, Administrative Usersyes

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BadgerCoveoGBaseNuoDBSolr
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