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DBMS > DolphinDB vs. Faircom DB vs. FileMaker vs. SAP HANA vs. Ultipa

System Properties Comparison DolphinDB vs. Faircom DB vs. FileMaker vs. SAP HANA vs. Ultipa

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonFileMaker  Xexclude from comparisonSAP HANA  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Native 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.In-memory, column based data store. Available as appliance or cloud serviceHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Relational DBMSRelational DBMSGraph DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score44.69
Rank#22  Overall
#16  Relational DBMS
Score0.13
Rank#335  Overall
#31  Graph DBMS
Websitewww.dolphindb.comwww.faircom.com/­products/­faircom-dbwww.claris.com/­filemakerwww.sap.com/­products/­hana.htmlwww.ultipa.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmldocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.claris.com/­resources/­documentationhelp.sap.com/­hanawww.ultipa.com/­document
DeveloperDolphinDB, IncFairCom CorporationClaris infoa subsidiary of AppleSAPUltipa
Initial release20181979198320102019
Current releasev2.00.4, January 2022V12, November 202019.4.1, November 20212.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open Sourcecommercial infofree community version availablecommercial infoRestricted, free version availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ANSI C, C++
Server operating systemsLinux
Windows
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
Appliance or cloud-service
Data schemeyesschema free, schema optional, schema required, partial schema,yesyes
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyes, ANSI SQL with proprietary extensionsyes infovia pluginsyes
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
PHPC++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyes info.Net, JavaScript, C/C++yesSQLScript, R
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, 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
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayestunable from ACID to Eventually ConsistentnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAdministrators, Users, GroupsFine grained access rights according to SQL-standard with additional protections for filessimple rights management via user accounts and connection to external directory servicesyes

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More resources
DolphinDBFaircom DB infoformerly c-treeACEFileMakerSAP HANAUltipa
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