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DBMS > Badger vs. GraphDB vs. SurrealDB vs. TinkerGraph

System Properties Comparison Badger vs. GraphDB vs. SurrealDB vs. TinkerGraph

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonSurrealDB  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.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.A fully ACID transactional, developer-friendly, multi-model DBMSA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-value storeGraph DBMS
RDF store
Document store
Graph DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score2.76
Rank#99  Overall
#8  Graph DBMS
#4  RDF stores
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Score0.08
Rank#345  Overall
#34  Graph DBMS
Websitegithub.com/­dgraph-io/­badgerwww.ontotext.comsurrealdb.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgergraphdb.ontotext.com/­documentationsurrealdb.com/­docs
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperDGraph LabsOntotextSurrealDB Ltd
Initial release2017200020222009
Current release10.4, October 2023v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoSome plugins of GraphDB Workbench are open sourcedOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaRustJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VM
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeschema-freeschema-free and OWL/RDFS-schema support; RDF shapesschema-freeschema-free
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 indexesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesno
SQL infoSupport of SQLnostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL-like query languageno
APIs and other access methodsGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
GraphQL
RESTful HTTP API
WebSocket
TinkerPop 3
Supported programming languagesGo.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Deno
Go
JavaScript (Node.js)
Rust
Groovy
Java
Server-side scripts infoStored proceduresnowell-defined plugin interfaces; JavaScript server-side extensibilityno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)none
Foreign keys infoReferential integritynoyes infoConstraint checkingyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoDefault 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.yes, based on authentication and database rulesno
More information provided by the system vendor
BadgerGraphDB infoformer name: OWLIMSurrealDBTinkerGraph
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
News

GraphDB in Action: Using Semantics To Push The Envelope Of Software Engineering, Machine Learning, and E-Health Domains
11 September 2024

Accelerating End-to-end Knowledge Graph Solutions with Ontotext’s LinkedLifeData Inventory: The Case of Target Discovery
30 August 2024

Using Entity Linking to Turn Your Graph into a Knowledge Graph
23 August 2024

Considerations to Creating a Graph Center of Excellence: 5 Elements to Ensure Success
22 August 2024

The Power of Knowledge Graphs – A Chat with Perfect Memory and Ontotext
16 August 2024

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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
BadgerGraphDB infoformer name: OWLIMSurrealDBTinkerGraph
Recent citations in the news

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Unit testing Apache TinkerPop transactions: From TinkerGraph to Amazon Neptune
3 June 2024, AWS Blog

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