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DBMS > FileMaker vs. Google Cloud Bigtable vs. HarperDB vs. ITTIA

System Properties Comparison FileMaker vs. Google Cloud Bigtable vs. HarperDB vs. ITTIA

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Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHarperDB  Xexclude from comparisonITTIA  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.HarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.Edge Time Series DBMS with Real-Time Stream Processing
Primary database modelRelational DBMSKey-value store
Wide column store
Document storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score45.20
Rank#20  Overall
#14  Relational DBMS
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score0.55
Rank#243  Overall
#38  Document stores
Score0.36
Rank#272  Overall
#22  Time Series DBMS
Websitewww.claris.com/­filemakercloud.google.com/­bigtablewww.harperdb.iowww.ittia.com
Technical documentationwww.claris.com/­resources/­documentationcloud.google.com/­bigtable/­docsdocs.harperdb.io/­docs
DeveloperClaris infoa subsidiary of AppleGoogleHarperDBITTIA L.L.C.
Initial release1983201520172007
Current release19.4.1, November 20213.1, August 20218.7
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree community edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageNode.jsC and C++
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
hostedLinux
OS X
Linux
Windows
Data schemeyesschema-freedynamic schemaFixed schema
Typing infopredefined data types such as float or dateyesnoyes infoJSON data typesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Interval
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
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infovia pluginsnoSQL-like data manipulation statementsyes
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
RESTful HTTP API
WebSocket
Supported programming languagesPHPC#
C++
Go
Java
JavaScript (Node.js)
Python
.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
C
C++
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnoCustom Functions infosince release 3.1yes
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Internal replication in Colossus, and regional replication between two clusters in different zonesyes infothe nodes on which a table resides can be definedyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsAtomic execution of specific operationsyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlsimple 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)Access rights for users and rolesDatabase file passwords

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More resources
FileMakerGoogle Cloud BigtableHarperDBITTIA
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