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DBMS > BoltDB vs. Cubrid vs. Databend vs. GridGain

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

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonCubrid  Xexclude from comparisonDatabend  Xexclude from comparisonGridGain  Xexclude from comparison
DescriptionAn embedded key-value store for Go.CUBRID is an open-source SQL-based relational database management system with object extensions for OLTPAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityGridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelKey-value storeRelational DBMSRelational 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
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Websitegithub.com/­boltdb/­boltcubrid.com (korean)
cubrid.org (english)
github.com/­datafuselabs/­databend
www.databend.com
www.gridgain.com
Technical documentationcubrid.org/­manualsdocs.databend.comwww.gridgain.com/­docs/­index.html
DeveloperCUBRID Corporation, CUBRID FoundationDatabend LabsGridGain Systems, Inc.
Initial release2013200820212007
Current release11.0, January 20211.0.59, April 2023GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++, JavaRustJava, C++, .Net
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
hosted
Linux
macOS
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes
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 indexesnoyesnoyes
SQL infoSupport of SQLnoyesyesANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
CLI Client
JDBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesGoC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoJava Stored Proceduresnoyes (compute grid and cache interceptors can be used instead)
Triggersnoyesnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnoneyes (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 integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDyesACID
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 controlnofine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user rolesSecurity Hooks for custom implementations

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More resources
BoltDBCubridDatabendGridGain
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