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DBMS > Faircom DB vs. FileMaker vs. HugeGraph vs. SAP HANA

System Properties Comparison Faircom DB vs. FileMaker vs. HugeGraph vs. SAP HANA

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Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonFileMaker  Xexclude from comparisonHugeGraph  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionNative 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.A fast-speed and highly-scalable Graph DBMSIn-memory, column based data store. Available as appliance or cloud service
Primary database modelKey-value store
Relational DBMS
Relational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#298  Overall
#42  Key-value stores
#137  Relational DBMS
Score48.81
Rank#21  Overall
#15  Relational DBMS
Score0.14
Rank#340  Overall
#31  Graph DBMS
Score45.49
Rank#22  Overall
#16  Relational DBMS
Websitewww.faircom.com/­products/­faircom-dbwww.claris.com/­filemakergithub.com/­hugegraph
hugegraph.apache.org
www.sap.com/­products/­hana.html
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.claris.com/­resources/­documentationhugegraph.apache.org/­docshelp.sap.com/­hana
DeveloperFairCom CorporationClaris infoa subsidiary of AppleBaiduSAP
Initial release1979198320182010
Current releaseV12, November 202019.4.1, November 20210.92.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++Java
Server operating systemsAIX
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
Linux
macOS
Unix
Appliance or cloud-service
Data schemeschema free, schema optional, schema required, partial schema,yesyesyes
Typing infopredefined data types such as float or dateyes, 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.noyes infoA http query request can return the data in XML formatnono
Secondary indexesyesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsyes infovia pluginsnoyes
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Filemaker WebDirect
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
PHPGroovy
Java
Python
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yesasynchronous Gremlin script jobsSQLScript, R
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes, 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 14yes infodepending on used storage backend, e.g. Cassandra and HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually ConsistentnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filessimple rights management via user accounts and connection to external directory servicesUsers, roles and permissionsyes

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More resources
Faircom DB infoformerly c-treeACEFileMakerHugeGraphSAP HANA
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