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DBMS > Amazon Neptune vs. FileMaker vs. Google Cloud Datastore vs. ITTIA vs. Oracle Coherence

System Properties Comparison Amazon Neptune vs. FileMaker vs. Google Cloud Datastore vs. ITTIA vs. Oracle Coherence

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonFileMaker  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonITTIA  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudFileMaker is a cross-platform RDBMS that includes a GUI frontend.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformEdge Time Series DBMS with Real-Time Stream ProcessingOracles in-memory data grid solution
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument storeTime Series DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.17
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score42.78
Rank#20  Overall
#14  Relational DBMS
Score3.98
Rank#70  Overall
#12  Document stores
Score0.37
Rank#269  Overall
#22  Time Series DBMS
Score1.81
Rank#128  Overall
#22  Key-value stores
Websiteaws.amazon.com/­neptunewww.claris.com/­filemakercloud.google.com/­datastorewww.ittia.comwww.oracle.com/­java/­coherence
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.claris.com/­resources/­documentationcloud.google.com/­datastore/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperAmazonClaris infoa subsidiary of AppleGoogleITTIA L.L.C.Oracle
Initial release20171983200820072007
Current release19.4.1, November 20218.714.1, August 2023
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java
Server operating systemshostediOS infoclient part only
Linux
OS X
Windows
hostedLinux
Windows
All OS with a Java VM
Data schemeschema-freeyesschema-freeFixed schemaschema-free
Typing infopredefined data types such as float or dateyesyesyes, details hereFloat/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.noyes infoA http query request can return the data in XML formatnonono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoyes infovia pluginsSQL-like query language (GQL)yesno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Filemaker WebDirect
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
WebSocket
JCache
JPA
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
PHP.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
JavaScript (Node.js)
Python
.Net
C++
Java
Server-side scripts infoStored proceduresnoyesusing Google App Engineyesno
TriggersnoyesCallbacks using the Google Apps Enginenoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
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.Source-replica replication, warm standby infosince Version 14Multi-source replication using Paxosyesyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsyesconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)simple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Database file passwordsauthentification to access the cache via certificates or http basic authentication

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More resources
Amazon NeptuneFileMakerGoogle Cloud DatastoreITTIAOracle Coherence
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