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DBMS > Amazon Neptune vs. AnzoGraph DB vs. Google Cloud Firestore vs. Microsoft Azure Table Storage vs. OpenEdge

System Properties Comparison Amazon Neptune vs. AnzoGraph DB vs. Google Cloud Firestore vs. Microsoft Azure Table Storage vs. OpenEdge

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOpenEdge  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.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
Graph DBMS
RDF store
Document 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
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score7.85
Rank#51  Overall
#8  Document stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score3.51
Rank#86  Overall
#46  Relational DBMS
Websiteaws.amazon.com/­neptunecambridgesemantics.com/­anzographfirebase.google.com/­products/­firestoreazure.microsoft.com/­en-us/­services/­storage/­tableswww.progress.com/­openedge
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmfirebase.google.com/­docs/­firestoredocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperAmazonCambridge SemanticsGoogleMicrosoftProgress Software Corporation
Initial release20172018201720121984
Current release2.3, January 2021OpenEdge 12.2, March 2020
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedLinuxhostedhostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeSchema-free and OWL/RDFS-schema supportschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnonoyesnoyes
SQL infoSupport of SQLnoSPARQL and SPARQL* as primary query language. Cypher preview.nonoyes infoclose to SQL 92
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Java
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyes, Firebase Rules & Cloud Functionsnoyes
Triggersnonoyes, with Cloud Functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingShardingSharding 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.Multi-source replication in MPP-ClusterMulti-source replicationyes 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 methodsnoKerberos/HDFS data loadingUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsno infonot needed in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesoptimistic 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.yesnono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights based on private key authentication or shared access signaturesUsers and groups

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More resources
Amazon NeptuneAnzoGraph DBGoogle Cloud FirestoreMicrosoft Azure Table StorageOpenEdge
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