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DBMS > Amazon Neptune vs. EDB Postgres vs. FileMaker vs. InterSystems Caché vs. Netezza

System Properties Comparison Amazon Neptune vs. EDB Postgres vs. FileMaker vs. InterSystems Caché vs. Netezza

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonEDB Postgres  Xexclude from comparisonFileMaker  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  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 cloudThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.FileMaker is a cross-platform RDBMS that includes a GUI frontend.A multi-model DBMS and application serverData warehouse and analytics appliance part of IBM PureSystems
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websiteaws.amazon.com/­neptunewww.enterprisedb.comwww.claris.com/­filemakerwww.intersystems.com/­products/­cachewww.ibm.com/­products/­netezza
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.enterprisedb.com/­docswww.claris.com/­resources/­documentationdocs.intersystems.com
DeveloperAmazonEnterpriseDBClaris infoa subsidiary of AppleInterSystemsIBM
Initial release20172005198319972000
Current release14, December 202119.4.1, November 20212018.1.4, May 2020
License infoCommercial or Open Sourcecommercialcommercial infoBSD for PostgreSQL-componentscommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemshostedLinux
Windows
iOS infoclient part only
Linux
OS X
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux infoincluded in appliance
Data schemeschema-freeyesyesdepending on used data modelyes
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.noyes infospecific XML-type available, but no XML query functionality.yes infoA http query request can return the data in XML formatyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyes infostandard with numerous extensionsyes infovia pluginsyesyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Filemaker WebDirect
JDBC
ODBC
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
PHPC#
C++
Java
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesyesyes
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoby hash, list or rangenonenoneSharding
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 replicationSource-replica replication, warm standby infosince Version 14Source-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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.noyes
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-standardsimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and rolesUsers with fine-grained authorization concept

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More resources
Amazon NeptuneEDB PostgresFileMakerInterSystems CachéNetezza infoAlso called PureData System for Analytics by IBM
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