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DBMS > c-treeACE vs. FileMaker vs. SAP HANA vs. Spark SQL

System Properties Comparison c-treeACE vs. FileMaker vs. SAP HANA vs. Spark SQL

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Editorial information provided by DB-Engines
Namec-treeACE  Xexclude from comparisonFileMaker  Xexclude from comparisonSAP HANA  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionHigh speed key-value store, desgined for high availability, mission critical applications with automatic recovery and immediately consistent transaction support.FileMaker is a cross-platform RDBMS that includes a GUI frontend.In-memory, column based data store. Available as appliance or cloud serviceSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#210  Overall
#38  Key-value stores
#101  Relational DBMS
Score47.39
Rank#23  Overall
#14  Relational DBMS
Score54.24
Rank#19  Overall
#13  Relational DBMS
Score19.47
Rank#33  Overall
#20  Relational DBMS
Websitewww.faircom.com/­-products/­-c-treeacewww.claris.com/­filemakerwww.sap.com/­products/­hana.htmlspark.apache.org/­sql
Technical documentationlearn.faircomcorp.com/­developers/­documentation_directorywww.claris.com/­resources/­documentationhelp.sap.com/­hanaspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFairCom CorporationFileMaker infoa subsidiary of AppleSAPApache Software Foundation
Initial release1979198320102014
Current releaseV11.5, November 201719, May 20202.0 SPS04 (April 5, 2019), April 20193.0.1, October 2020
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++Scala
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
iOS
OS X
Windows
Appliance or cloud-serviceLinux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL 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.noyes infoA http query request can return the data in XML formatnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infoANSI SQL queriesyes infovia pluginsyesSQL-like DML and DDL statements
APIs and other access methodsADO.NET
Direct SQL
JDBC
ODBC
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
Java
JavaScript
PHP
Python
Visual Basic
PHPJava
Python
R
Scala
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yesSQLScript, Rno
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnoneyesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replication, warm standby infosince Version 14yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.simple rights management via user accounts and connection to external directory servicesyesno
More information provided by the system vendor
c-treeACEFileMakerSAP HANASpark SQL
Specific characteristicsSpeed, reliability and consistency are the reasons businesses choose FairCom™s c-treeACE...
» more
Competitive advantagesTop Features High-speed transaction processing Immediately consistent, ACID-compliant,...
» more
Typical application scenariosc-treeACE speed, reliability, and flexibility are direct reasons this technology...
» more
Key customersVISA, UPS, Verizon, Motorola, CommVault, Thomson Reuters, ACI, BNY Mellon, Rockwell...
» more
Market metricsFrom banking and financial transactions, transportation, warehouse automation, package...
» more
Licensing and pricing modelsJust as the technical aspects of c-treeACE are flexible to meet operation requirements,...
» more

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More resources
c-treeACEFileMakerSAP HANASpark SQL
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