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DBMS > BoltDB vs. DolphinDB vs. EsgynDB vs. Linter

System Properties Comparison BoltDB vs. DolphinDB vs. EsgynDB vs. Linter

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonLinter  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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionRDBMS for high security requirements
Primary database modelKey-value storeTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSSpatial 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
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.dolphindb.comwww.esgyn.cnlinter.ru
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.html
DeveloperDolphinDB, IncEsgynrelex.ru
Initial release2013201820151990
Current releasev2.00.4, January 2022
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infofree community version availablecommercialcommercial
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++, JavaC and C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
LinuxAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
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.nononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyesyes
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesGoC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresnoyesJava Stored Proceduresyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication between multi datacentersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
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.noyesno
User concepts infoAccess controlnoAdministrators, Users, Groupsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
BoltDBDolphinDBEsgynDBLinter
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