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DBMS > Blazegraph vs. Cloudflare Workers KV vs. EJDB vs. Faircom DB

System Properties Comparison Blazegraph vs. Cloudflare Workers KV vs. EJDB vs. Faircom DB

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonEJDB  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.A global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Embeddable document-store database library with JSON representation of queries (in MongoDB style)Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.
Primary database modelGraph DBMS
RDF store
Key-value storeDocument storeKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score0.39
Rank#274  Overall
#39  Key-value stores
Score0.31
Rank#296  Overall
#44  Document stores
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Websiteblazegraph.comwww.cloudflare.com/­developer-platform/­workers-kvgithub.com/­Softmotions/­ejdbwww.faircom.com/­products/­faircom-db
Technical documentationwiki.blazegraph.comdevelopers.cloudflare.com/­kv/­apigithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.html
DeveloperBlazegraphCloudflareSoftmotionsFairCom Corporation
Initial release2006201820121979
Current release2.1.5, March 2019V12, November 2020
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialOpen Source infoGPLv2commercial infoRestricted, free version available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCANSI C, C++
Server operating systemsLinux
OS X
Windows
hostedserver-lessAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Data schemeschema-freeschema-freeschema-freeschema free, schema optional, schema required, partial schema,
Typing infopredefined data types such as float or dateyes infoRDF literal typesnoyes infostring, integer, double, bool, date, object_idyes, ANSI SQL Types, JSON, typed binary structures
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.nono
Secondary indexesyesnonoyes
SQL infoSupport of SQLSPARQL is used as query languagenonoyes, ANSI SQL with proprietary extensions
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
HTTP REST
Proprietary protocol
in-process shared libraryADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Server-side scripts infoStored proceduresyesnonoyes info.Net, JavaScript, C/C++
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Foreign keys infoReferential integrityyes infoRelationships in Graphsnono infotypically not needed, however similar functionality with collection joins possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonotunable from ACID to Eventually Consistent
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyes
Durability infoSupport for making data persistentyesyesyesYes, tunable from durable to delayed durability to in-memory
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)noFine grained access rights according to SQL-standard with additional protections for files

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More resources
BlazegraphCloudflare Workers KVEJDBFaircom DB infoformerly c-treeACE
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