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DBMS > Amazon Neptune vs. Faircom EDGE vs. InterSystems Caché vs. ITTIA vs. Microsoft Azure AI Search

System Properties Comparison Amazon Neptune vs. Faircom EDGE vs. InterSystems Caché vs. ITTIA vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonITTIA  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionFast, reliable graph database built for the cloudFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA multi-model DBMS and application serverEdge Time Series DBMS with Real-Time Stream ProcessingSearch-as-a-service for web and mobile app development
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSSearch engine
Secondary database modelsDocument storeRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score0.44
Rank#267  Overall
#23  Time Series DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Websiteaws.amazon.com/­neptunewww.faircom.com/­products/­faircom-edgewww.intersystems.com/­products/­cachewww.ittia.comazure.microsoft.com/­en-us/­services/­search
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.intersystems.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperAmazonFairCom CorporationInterSystemsITTIA L.L.C.Microsoft
Initial release20171979199720072015
Current releaseV3, October 20202018.1.4, May 20208.7V1
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++C and C++
Server operating systemshostedAndroid
Linux infoARM, x86
Raspbian
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
Windows
hosted
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)depending on used data modelFixed schemayes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL TypesyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyes
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.noyesyesnono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyes infoANSI SQL queriesyesyesno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
WebSocket
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
C++
Java
C
C++
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yesyesno
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning infoCustomizable business rules for partitioningnoneSharding infoImplicit feature of the cloud service
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.yes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replicationyesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infowhen using SQLyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes, multi-version concurrency control (MVCC)yes
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.yesyesyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Fine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users, groups and rolesDatabase file passwordsyes infousing Azure authentication

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More resources
Amazon NeptuneFaircom EDGE infoformerly c-treeEDGEInterSystems CachéITTIAMicrosoft Azure AI Search
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