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DBMS > Amazon DocumentDB vs. Amazon Neptune vs. Hypertable vs. OpenEdge vs. Postgres-XL

System Properties Comparison Amazon DocumentDB vs. Amazon Neptune vs. Hypertable vs. OpenEdge vs. Postgres-XL

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonHypertable  Xexclude from comparisonOpenEdge  Xexclude from comparisonPostgres-XL  Xexclude from comparison
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 serviceFast, reliable graph database built for the cloudAn open source BigTable implementation based on distributed file systems such as HadoopApplication development environment with integrated database management systemBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelDocument storeGraph DBMS
RDF store
Wide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websiteaws.amazon.com/­documentdbaws.amazon.com/­neptunewww.progress.com/­openedgewww.postgres-xl.org
Technical documentationaws.amazon.com/­documentdb/­resourcesaws.amazon.com/­neptune/­developer-resourcesdocumentation.progress.com/­output/­ua/­OpenEdge_latestwww.postgres-xl.org/­documentation
DeveloperAmazonHypertable Inc.Progress Software Corporation
Initial release20192017200919842014 infosince 2012, originally named StormDB
Current release0.9.8.11, March 2016OpenEdge 12.2, March 202010 R1, October 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C
Server operating systemshostedhostedLinux
OS X
Windows infoan inofficial Windows port is available
AIX
HP-UX
Linux
Solaris
Windows
Linux
macOS
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nonoyesyes infoXML type, but no XML query functionality
Secondary indexesyesnorestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLnononoyes infoclose to SQL 92yes infodistributed, parallel query execution
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
C++ API
Thrift
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Java
Perl
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language).Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnononoyesuser defined functions
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardinghorizontal partitioning infosince Version 11.4horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-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.selectable replication factor on file system levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoRelationships in graphsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnoACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noUsers and groupsfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBAmazon NeptuneHypertableOpenEdgePostgres-XL
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