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DBMS > BoltDB vs. Citus vs. Coveo vs. EsgynDB vs. PlanetScale

System Properties Comparison BoltDB vs. Citus vs. Coveo vs. EsgynDB vs. PlanetScale

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonCitus  Xexclude from comparisonCoveo  Xexclude from comparisonEsgynDB  Xexclude from comparisonPlanetScale  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelKey-value storeRelational DBMSSearch engineRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score2.11
Rank#118  Overall
#11  Search engines
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.citusdata.comwww.coveo.comwww.esgyn.cnplanetscale.com
Technical documentationdocs.citusdata.comdocs.coveo.complanetscale.com/­docs
DeveloperCoveoEsgynPlanetScale
Initial release20132010201220152020
Current release8.1, December 2018
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoAGPL, commercial license also availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoCC++, JavaGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxhostedLinuxDocker
Linux
macOS
Data schemeschema-freeyeshybrid - 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 datenoyesyesyesyes
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.noyes infospecific XML type available, but no XML query functionalitynono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsnoyesyes infowith proprietary extensions
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesGo.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
JavaScript
Python
All languages supporting JDBC/ODBC/ADO.NetAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noJava Stored Proceduresyes infoproprietary syntax
Triggersnoyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infoother methods possible by using 3rd party extensionsyesMulti-source replication between multi datacentersMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesyesyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDyesACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
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.nononoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardgranular access controls, API key management, content filtersfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
BoltDBCitusCoveoEsgynDBPlanetScale
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