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DBMS > Amazon Neptune vs. Apache Doris vs. Firebase Realtime Database vs. Microsoft Azure Table Storage vs. OpenEdge

System Properties Comparison Amazon Neptune vs. Apache Doris vs. Firebase Realtime Database vs. Microsoft Azure Table Storage vs. OpenEdge

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Doris  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOpenEdge  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAn MPP-based analytics DBMS embracing the MySQL protocolCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A Wide Column Store for rapid development using massive semi-structured datasetsApplication development environment with integrated database management system
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument storeWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score3.51
Rank#86  Overall
#46  Relational DBMS
Websiteaws.amazon.com/­neptunedoris.apache.org
github.com/­apache/­doris
firebase.google.com/­products/­realtime-databaseazure.microsoft.com/­en-us/­services/­storage/­tableswww.progress.com/­openedge
Technical documentationaws.amazon.com/­neptune/­developer-resourcesgithub.com/­apache/­doris/­wikifirebase.google.com/­docs/­databasedocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperAmazonApache Software Foundation, originally contributed from BaiduGoogle infoacquired by Google 2014MicrosoftProgress Software Corporation
Initial release20172017201220121984
Current release1.2.2, February 2023OpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedLinuxhostedhostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
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.nonononoyes
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoyesnonoyes infoclose to SQL 92
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
MySQL client
Android
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
JavaJava
JavaScript
Objective-C
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresnouser defined functionslimited functionality with using 'rules'noyes
TriggersnonoCallbacks are triggered when data changesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding infoImplicit feature of the cloud servicehorizontal partitioning infosince Version 11.4
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.noneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardyes, based on authentication and database rulesAccess rights based on private key authentication or shared access signaturesUsers and groups

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More resources
Amazon NeptuneApache DorisFirebase Realtime DatabaseMicrosoft Azure Table StorageOpenEdge
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