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DBMS > BoltDB vs. Coveo vs. Cubrid vs. GridGain

System Properties Comparison BoltDB vs. Coveo vs. Cubrid vs. GridGain

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonCoveo  Xexclude from comparisonCubrid  Xexclude from comparisonGridGain  Xexclude from comparison
DescriptionAn embedded key-value store for Go.AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPGridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelKey-value storeSearch engineRelational DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score2.28
Rank#114  Overall
#11  Search engines
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.coveo.comcubrid.com (korean)
cubrid.org (english)
www.gridgain.com
Technical documentationdocs.coveo.comcubrid.org/­manualswww.gridgain.com/­docs/­index.html
DeveloperCoveoCUBRID Corporation, CUBRID FoundationGridGain Systems, Inc.
Initial release2013201220082007
Current release11.0, January 2021GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache Version 2.0commercial
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, C++, JavaJava, C++, .Net
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
Windows
Linux
OS X
Solaris
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 datenoyesyesyes
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.nononoyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoyesANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesGoC#
Java
JavaScript
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoJava Stored Proceduresyes (compute grid and cache interceptors can be used instead)
Triggersnoyesyesyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesnoneyesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replicationyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesACIDACID
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.nonoyes
User concepts infoAccess controlnogranular access controls, API key management, content filtersfine grained access rights according to SQL-standardSecurity Hooks for custom implementations

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More resources
BoltDBCoveoCubridGridGain
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