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DBMS > Cachelot.io vs. Faircom DB vs. FileMaker vs. Microsoft Access vs. Spark SQL

System Properties Comparison Cachelot.io vs. Faircom DB vs. FileMaker vs. Microsoft Access vs. Spark SQL

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonFileMaker  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionIn-memory caching systemNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeKey-value store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitecachelot.iowww.faircom.com/­products/­faircom-dbwww.claris.com/­filemakerwww.microsoft.com/­en-us/­microsoft-365/­accessspark.apache.org/­sql
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.claris.com/­resources/­documentationdeveloper.microsoft.com/­en-us/­accessspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFairCom CorporationClaris infoa subsidiary of AppleMicrosoftApache Software Foundation
Initial release20151979198319922014
Current releaseV12, November 202019.4.1, November 20211902 (16.0.11328.20222), March 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoSimplified BSD Licensecommercial infoRestricted, free version availablecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0
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 languageC++ANSI C, C++C++Scala
Server operating systemsFreeBSD
Linux
OS X
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
iOS infoclient part only
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
Data schemeschema-freeschema free, schema optional, schema required, partial schema,yesyesyes
Typing infopredefined data types such as float or datenoyes, ANSI SQL Types, JSON, typed binary structuresyesyesyes
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.nonoyes infoA http query request can return the data in XML formatno
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoyes, ANSI SQL with proprietary extensionsyes infovia pluginsyes infobut not compliant to any SQL standardSQL-like DML and DDL statements
APIs and other access methodsMemcached protocolADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Filemaker WebDirect
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
PHPC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yesyes infosince Access 2010 using the ACE-engineno
Triggersnoyesyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnonenoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Source-replica replication, warm standby infosince Version 14nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanotunable from ACID to Eventually ConsistentnoACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentnoYes, tunable from durable to delayed durability to in-memoryyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoFine grained access rights according to SQL-standard with additional protections for filessimple rights management via user accounts and connection to external directory servicesno infoa simple user-level security was built in till version Access 2003no

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More resources
Cachelot.ioFaircom DB infoformerly c-treeACEFileMakerMicrosoft AccessSpark SQL
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