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DBMS > BoltDB vs. Databend vs. DolphinDB vs. GraphDB

System Properties Comparison BoltDB vs. Databend vs. DolphinDB vs. GraphDB

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDatabend  Xexclude from comparisonDolphinDB  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparison
DescriptionAn embedded key-value store for Go.An open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityDolphinDB 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-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.
Primary database modelKey-value storeRelational DBMSTime Series DBMSGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Websitegithub.com/­boltdb/­boltgithub.com/­datafuselabs/­databend
www.databend.com
www.dolphindb.comwww.ontotext.com
Technical documentationdocs.databend.comdocs.dolphindb.cn/­en/­help200/­index.htmlgraphdb.ontotext.com/­documentation
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperDatabend LabsDolphinDB, IncOntotext
Initial release2013202120182000
Current release1.0.59, April 2023v2.00.4, January 202210.4, October 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2.0commercial infofree community version availablecommercial infoSome plugins of GraphDB Workbench are open sourced
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoRustC++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hosted
Linux
macOS
Linux
Windows
All OS with a Java VM
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-free and OWL/RDFS-schema support; RDF shapes
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 indexesnonoyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexes
SQL infoSupport of SQLnoyesSQL-like query languagestored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBC
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Supported programming languagesGoGo
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyeswell-defined plugin interfaces; JavaScript server-side extensibility
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)
Foreign keys infoReferential integritynononoyes infoConstraint checking
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesyesACID
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.noyes
User concepts infoAccess controlnoUsers with fine-grained authorization concept, user rolesAdministrators, Users, GroupsDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.
More information provided by the system vendor
BoltDBDatabendDolphinDBGraphDB infoformer name: OWLIM
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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