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DBMS > Amazon DocumentDB vs. Blazegraph vs. EJDB vs. Hypertable

System Properties Comparison Amazon DocumentDB vs. Blazegraph vs. EJDB vs. Hypertable

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBlazegraph  Xexclude from comparisonEJDB  Xexclude from comparisonHypertable  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Embeddable document-store database library with JSON representation of queries (in MongoDB style)An open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelDocument storeGraph DBMS
RDF store
Document storeWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score0.27
Rank#297  Overall
#44  Document stores
Websiteaws.amazon.com/­documentdbblazegraph.comgithub.com/­Softmotions/­ejdb
Technical documentationaws.amazon.com/­documentdb/­resourceswiki.blazegraph.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.md
DeveloperBlazegraphSoftmotionsHypertable Inc.
Initial release2019200620122009
Current release2.1.5, March 20190.9.8.11, March 2016
License infoCommercial or Open SourcecommercialOpen Source infoextended commercial license availableOpen Source infoGPLv2Open Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++
Server operating systemshostedLinux
OS X
Windows
server-lessLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyes infostring, integer, double, bool, date, object_idno
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.no
Secondary indexesyesyesnorestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnoSPARQL is used as query languagenono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
in-process shared libraryC++ API
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesnoneselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoRelationships in Graphsno infotypically not needed, however similar functionality with collection joins possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyes
Durability infoSupport for making data persistentyesyesyesyes
User concepts infoAccess controlAccess rights for users and rolesSecurity and Authentication via Web Application Container (Tomcat, Jetty)nono

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More resources
Amazon DocumentDBBlazegraphEJDBHypertable
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