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DBMS > Badger vs. Faircom DB vs. Stardog vs. TinkerGraph

System Properties Comparison Badger vs. Faircom DB vs. Stardog vs. TinkerGraph

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonStardog  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-value storeKey-value store
Relational DBMS
Graph DBMS
RDF store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitegithub.com/­dgraph-io/­badgerwww.faircom.com/­products/­faircom-dbwww.stardog.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.stardog.com
DeveloperDGraph LabsFairCom CorporationStardog-Union
Initial release2017197920102009
Current releaseV12, November 20207.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoRestricted, free version availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen 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 languageGoANSI C, C++JavaJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
macOS
Windows
Data schemeschema-freeschema free, schema optional, schema required, partial schema,schema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or datenoyes, ANSI SQL Types, JSON, typed binary structuresyesyes
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 infoImport/export of XML data possibleno
Secondary indexesnoyesyes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLnoyes, ANSI SQL with proprietary extensionsYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
TinkerPop 3
Supported programming languagesGo.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Groovy
Java
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++user defined functions and aggregates, HTTP Server extensions in Javano
Triggersnoyesyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Multi-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency in HA-Clusternone
Foreign keys infoReferential integritynoyesyes inforelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanotunable from ACID to Eventually ConsistentACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnoFine grained access rights according to SQL-standard with additional protections for filesAccess rights for users and rolesno

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More resources
BadgerFaircom DB infoformerly c-treeACEStardogTinkerGraph
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