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DBMS > Amazon Neptune vs. Blazegraph vs. Cloudflare Workers KV vs. GridGain vs. OrigoDB

System Properties Comparison Amazon Neptune vs. Blazegraph vs. Cloudflare Workers KV vs. GridGain vs. OrigoDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBlazegraph  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonGridGain  Xexclude from comparisonOrigoDB  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.A global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.GridGain is an in-memory computing platform, built on Apache IgniteA fully ACID in-memory object graph database
Primary database modelGraph DBMS
RDF store
Graph DBMS
RDF store
Key-value storeKey-value store
Relational DBMS
Document store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score0.39
Rank#274  Overall
#39  Key-value stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websiteaws.amazon.com/­neptuneblazegraph.comwww.cloudflare.com/­developer-platform/­workers-kvwww.gridgain.comorigodb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourceswiki.blazegraph.comdevelopers.cloudflare.com/­kv/­apiwww.gridgain.com/­docs/­index.htmlorigodb.com/­docs
DeveloperAmazonBlazegraphCloudflareGridGain Systems, Inc.Robert Friberg et al
Initial release20172006201820072009 infounder the name LiveDB
Current release2.1.5, March 2019GridGain 8.5.1
License infoCommercial or Open SourcecommercialOpen Source infoextended commercial license availablecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetC#
Server operating systemshostedLinux
OS X
Windows
hostedLinux
OS X
Solaris
Windows
Linux
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesnoyesUser defined using .NET types and collections
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.nonoyesno infocan be achieved using .NET
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoSPARQL is used as query languagenoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
HTTP REST
Proprietary protocol
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
HTTP API
LINQ
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Server-side scripts infoStored proceduresnoyesnoyes (compute grid and cache interceptors can be used instead)yes
Triggersnononoyes (cache interceptors and events)yes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronized
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.yesyesyes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoRelationships in Graphsnonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
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)Security Hooks for custom implementationsRole based authorization

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More resources
Amazon NeptuneBlazegraphCloudflare Workers KVGridGainOrigoDB
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