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DBMS > Blazegraph vs. Dragonfly vs. Newts vs. RavenDB

System Properties Comparison Blazegraph vs. Dragonfly vs. Newts vs. RavenDB

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonDragonfly  Xexclude from comparisonNewts  Xexclude from comparisonRavenDB  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 drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceTime Series DBMS based on CassandraOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelGraph DBMS
RDF store
Key-value storeTime Series DBMSDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score0.41
Rank#266  Overall
#38  Key-value stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websiteblazegraph.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
opennms.github.io/­newtsravendb.net
Technical documentationwiki.blazegraph.comwww.dragonflydb.io/­docsgithub.com/­OpenNMS/­newts/­wikiravendb.net/­docs
DeveloperBlazegraphDragonflyDB team and community contributorsOpenNMS GroupHibernating Rhinos
Initial release2006202320142010
Current release2.1.5, March 20191.0, March 20235.4, July 2022
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoBSL 1.1Open Source infoApache 2.0Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC#
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freescheme-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyes infoRDF literal typesstrings, hashes, lists, sets, sorted sets, bit arraysyesno
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 languagenonoSQL-like query language (RQL)
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Proprietary protocol infoRESP - REdis Serialization ProtocolHTTP REST
Java API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Java.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesLuanoyes
Triggersnopublish/subscribe channels provide some trigger functionalitynoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationselectable replication factor infobased on CassandraMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyes infoRelationships in Graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes
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.yesno
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Password-based authenticationnoAuthorization levels configured per client per database

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More resources
BlazegraphDragonflyNewtsRavenDB
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