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DBMS > Badger vs. Coveo vs. LeanXcale vs. mSQL

System Properties Comparison Badger vs. Coveo vs. LeanXcale vs. mSQL

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonCoveo  Xexclude from comparisonLeanXcale  Xexclude from comparisonmSQL infoMini SQL  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 developmentA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesmSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelKey-value storeSearch engineKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#325  Overall
#49  Key-value stores
Score2.34
Rank#117  Overall
#11  Search engines
Score0.35
Rank#283  Overall
#41  Key-value stores
#128  Relational DBMS
Score1.67
Rank#151  Overall
#70  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.coveo.comwww.leanxcale.comhughestech.com.au/­products/­msql
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.coveo.com
DeveloperDGraph LabsCoveoLeanXcaleHughes Technologies
Initial release2017201220151994
Current release4.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyes
Typing infopredefined data types such as float or datenoyesyes
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.nonono
Secondary indexesnoyesyes
SQL infoSupport of SQLnonoyes infothrough Apache DerbyA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsRESTful HTTP APIJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
ODBC
Supported programming languagesGoC#
Java
JavaScript
Python
C
Java
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresnonono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
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 controlnogranular access controls, API key management, content filtersno

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More resources
BadgerCoveoLeanXcalemSQL infoMini SQL
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