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DBMS > Amazon DocumentDB vs. Amazon Neptune vs. Microsoft Azure Synapse Analytics vs. OpenEdge vs. TigerGraph

System Properties Comparison Amazon DocumentDB vs. Amazon Neptune vs. Microsoft Azure Synapse Analytics vs. OpenEdge vs. TigerGraph

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOpenEdge  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceFast, reliable graph database built for the cloudElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerApplication development environment with integrated database management systemA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument storeGraph DBMS
RDF store
Relational DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websiteaws.amazon.com/­documentdbaws.amazon.com/­neptuneazure.microsoft.com/­services/­synapse-analyticswww.progress.com/­openedgewww.tigergraph.com
Technical documentationaws.amazon.com/­documentdb/­resourcesaws.amazon.com/­neptune/­developer-resourcesdocs.microsoft.com/­azure/­synapse-analyticsdocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.tigergraph.com
DeveloperAmazonMicrosoftProgress Software Corporation
Initial release20192017201619842017
Current releaseOpenEdge 12.2, March 2020
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemshostedhostedhostedAIX
HP-UX
Linux
Solaris
Windows
Linux
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnonoyesyes infoclose to SQL 92SQL-like query language (GSQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
Java
PHP
Progress proprietary ABL (Advanced Business Language)C++
Java
Server-side scripts infoStored proceduresnonoTransact SQLyesyes
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding, horizontal partitioninghorizontal partitioning infosince Version 11.4
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.yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoRelationships in graphsno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACIDACID
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)yesUsers and groupsRole-based access control

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More resources
Amazon DocumentDBAmazon NeptuneMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOpenEdgeTigerGraph
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