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DBMS > BoltDB vs. DolphinDB vs. Heroic vs. MonetDB

System Properties Comparison BoltDB vs. DolphinDB vs. Heroic vs. MonetDB

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonHeroic  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionAn embedded key-value store for Go.DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA relational database management system that stores data in columns
Primary database modelKey-value storeTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.dolphindb.comgithub.com/­spotify/­heroicwww.monetdb.org
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlspotify.github.io/­heroicwww.monetdb.org/­Documentation
DeveloperDolphinDB, IncSpotifyMonetDB BV
Initial release2013201820142004
Current releasev2.00.4, January 2022Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infofree community version availableOpen Source infoApache 2.0Open Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++JavaC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
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.nonono
Secondary indexesnoyesyes infovia Elasticsearchyes
SQL infoSupport of SQLnoSQL-like query languagenoyes infoSQL 2003 with some extensions
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesGoC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnoyesnoyes, in SQL, C, R
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyesnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesnoACID
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.noyesno
User concepts infoAccess controlnoAdministrators, Users, Groupsfine grained access rights according to SQL-standard

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More resources
BoltDBDolphinDBHeroicMonetDB
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