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DBMS > FileMaker vs. GreptimeDB vs. OrigoDB vs. Spark SQL

System Properties Comparison FileMaker vs. GreptimeDB vs. OrigoDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonGreptimeDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.An open source Time Series DBMS built for increased scalability, high performance and efficiencyA fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSTime Series DBMSDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.claris.com/­filemakergreptime.comorigodb.comspark.apache.org/­sql
Technical documentationwww.claris.com/­resources/­documentationdocs.greptime.comorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperClaris infoa subsidiary of AppleGreptime Inc.Robert Friberg et alApache Software Foundation
Initial release198320222009 infounder the name LiveDB2014
Current release19.4.1, November 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC#Scala
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes
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 formatnono infocan be achieved using .NETno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infovia pluginsyesnoSQL-like DML and DDL statements
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
gRPC
HTTP API
JDBC
.NET Client API
HTTP API
LINQ
JDBC
ODBC
Supported programming languagesPHPC++
Erlang
Go
Java
JavaScript
.NetJava
Python
R
Scala
Server-side scripts infoStored proceduresyesPythonyesno
Triggersyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesSimple rights management via user accountsRole based authorizationno
More information provided by the system vendor
FileMakerGreptimeDBOrigoDBSpark SQL
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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FileMakerGreptimeDBOrigoDBSpark SQL
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