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DBMS > BoltDB vs. ClickHouse vs. GraphDB vs. SAP SQL Anywhere

System Properties Comparison BoltDB vs. ClickHouse vs. GraphDB vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonClickHouse  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Column-oriented Relational DBMS powering YandexEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelKey-value storeRelational DBMSGraph DBMS
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#209  Overall
#36  Key-value stores
Score6.60
Rank#58  Overall
#32  Relational DBMS
Score1.42
Rank#145  Overall
#11  Graph DBMS
#6  RDF stores
Score6.79
Rank#54  Overall
#31  Relational DBMS
Websitegithub.com/­boltdb/­boltclickhouse.techgraphdb.ontotext.comwww.sap.com/­products/­sql-anywhere.html
Technical documentationclickhouse.tech/­docsgraphdb.ontotext.com/­documentationhelp.sap.com/­sql-anywhere
DeveloperYandex LLCOntotextSAP infoformerly Sybase
Initial release2013201620001992
Current releasev20.3.17.173, August 20208.8, January 201917, July 2015
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0commercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenonono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
All OS with a Java VM
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-free and OWL/RDFS-schema supportyes
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 indexesnonoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLnoClose to ANSI SQLSPARQL is used as query languageyes
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesGoC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Scala info3rd party library
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoJava Server Pluginyes, in C/C++, Java, .Net or Perl
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency
Foreign keys infoReferential integritynonoyes infoConstraint checkingyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID
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.noyesyes
User concepts infoAccess controlnoAccess rights for users and rolesyesfine grained access rights according to SQL-standard
More information provided by the system vendor
BoltDBClickHouseGraphDB infoformer name: OWLIMSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» 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 open data publishing, semantic inferencing...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BoltDBClickHouseGraphDB infoformer name: OWLIMSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
Conferences and events

Reasoning with Big Knowledge Graphs: Choices, Pitfalls and Proven Recipes
Webinar, 8:00 AM PST / 11:00 AM EST / 5:00 PM CEST, 30 July 2020 (finished)

Hands-on with the JDBC Driver in GraphDB: Bridging relational queries to the graph world
Webinar, 8:00 AM PDT / 11:00 AM EDT / 5:00 PM CEST, 17 September 2020 (finished)

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