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DBMS > FileMaker vs. HarperDB vs. Hawkular Metrics vs. Interbase vs. Netezza

System Properties Comparison FileMaker vs. HarperDB vs. Hawkular Metrics vs. Interbase vs. Netezza

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonHarperDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonInterbase  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Light-weight proven RDBMS infooriginally from BorlandData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSDocument storeTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitewww.claris.com/­filemakerwww.harperdb.iowww.hawkular.orgwww.embarcadero.com/­products/­interbasewww.ibm.com/­products/­netezza
Technical documentationwww.claris.com/­resources/­documentationdocs.harperdb.io/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.embarcadero.com/­products/­interbase
DeveloperClaris infoa subsidiary of AppleHarperDBCommunity supported by Red HatEmbarcaderoIBM
Initial release19832017201419842000
Current release19.4.1, November 20213.1, August 2021InterBase 2020, December 2019
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageNode.jsJavaC
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Linux
OS X
Windows
Android
iOS
Linux
OS X
Windows
Linux infoincluded in appliance
Data schemeyesdynamic schemaschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyesyes
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.yes infoA http query request can return the data in XML formatnonono infoexport as XML data possible
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyes infovia pluginsSQL-like data manipulation statementsnoyesyes
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP RESTADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
Supported programming languagesPHP.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Go
Java
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyesCustom Functions infosince release 3.1noyes infoInterbase procedure and trigger languageyes
Triggersyesnoyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a clusterSharding infobased on CassandranoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14yes infothe nodes on which a table resides can be definedselectable replication factor infobased on CassandraInterbase Change ViewsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesAccess rights for users and rolesnofine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
FileMakerHarperDBHawkular MetricsInterbaseNetezza infoAlso called PureData System for Analytics by IBM
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