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DBMS > Amazon Neptune vs. Blazegraph vs. DataFS vs. Manticore Search

System Properties Comparison Amazon Neptune vs. Blazegraph vs. DataFS vs. Manticore Search

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBlazegraph  Xexclude from comparisonDataFS  Xexclude from comparisonManticore Search  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionFast, reliable graph database built for the cloudHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Multi-storage database for search, including full-text search.
Primary database modelGraph DBMS
RDF store
Graph DBMS
RDF store
Object oriented DBMSSearch engine
Secondary database modelsGraph DBMSTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Websiteaws.amazon.com/­neptuneblazegraph.comnewdatabase.commanticoresearch.com
Technical documentationaws.amazon.com/­neptune/­developer-resourceswiki.blazegraph.comdev.mobiland.com/­Overview.xspmanual.manticoresearch.com
DeveloperAmazonBlazegraphMobiland AGManticore Software
Initial release2017200620182017
Current release2.1.5, March 20191.1.263, October 20226.0, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoextended commercial license availablecommercialOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedLinux
OS X
Windows
WindowsFreeBSD
Linux
macOS
Windows
Data schemeschema-freeschema-freeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)Fixed schema
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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.nonoCan index from XML
Secondary indexesnoyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLnoSPARQL is used as query languagenoSQL-like query language
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
.NET Client API
Proprietary client DLL
WinRT client
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C
C#
C++
VB.Net
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnoyesuser defined functions
Triggersnonono, except callback-events from server when changes happenedno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingProprietary Sharding systemSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.yesSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoRelationships in Graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Security and Authentication via Web Application Container (Tomcat, Jetty)Windows-Profileno

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More resources
Amazon NeptuneBlazegraphDataFSManticore Search
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