Databases
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* [[Mork]] | * [[Mork]] | ||
* [[PC-FILE]] | * [[PC-FILE]] | ||
+ | * [[QDB (Robert R. Marsh)]] | ||
== Hierarchical databases == | == Hierarchical databases == | ||
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* [[Access]] (was also known as Jet) | * [[Access]] (was also known as Jet) | ||
* [[Extensible Storage Engine]] (ESE, EDB) | * [[Extensible Storage Engine]] (ESE, EDB) | ||
− | * [[Paradox]] | + | * [[Paradox (database)]] |
== Multiformat platforms/programs/libraries/utilities == | == Multiformat platforms/programs/libraries/utilities == | ||
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* [[CouchDB]] | * [[CouchDB]] | ||
+ | * [[DynamoDB]] (AWS cloud database) | ||
* [[Elliptics]] | * [[Elliptics]] | ||
* [[MongoDB]] | * [[MongoDB]] | ||
Line 59: | Line 61: | ||
== Relational databases == | == Relational databases == | ||
+ | * [[Athena]] (AWS) | ||
* [[Cornerstone]] (Infocom) | * [[Cornerstone]] (Infocom) | ||
* [[Derby]] | * [[Derby]] | ||
* [[FileMaker Pro]] | * [[FileMaker Pro]] | ||
+ | * [[h2database]] | ||
* [[HSQLDB]] | * [[HSQLDB]] | ||
* [[IBM DB2]] | * [[IBM DB2]] | ||
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** [[ARC (database backup format)]] | ** [[ARC (database backup format)]] | ||
** [[Oracle database error messages]] | ** [[Oracle database error messages]] | ||
+ | * [[Provue Panorama]] (.pan, .pandb) | ||
* [[PostGRESQL]] | * [[PostGRESQL]] | ||
* [[SIARD]] | * [[SIARD]] | ||
Line 104: | Line 109: | ||
* [[Clipper (programming language)]] | * [[Clipper (programming language)]] | ||
* [[dBase programming language]] | * [[dBase programming language]] | ||
− | * [[Fauna Query Language]] | + | * [[Fauna Query Language]] (FQL) |
* [[FoxPro programming language]] | * [[FoxPro programming language]] | ||
+ | * [[PRQL]] | ||
* [[SPARQL]] | * [[SPARQL]] | ||
* [[SQL]] | * [[SQL]] | ||
+ | |||
+ | == Encrypted databases == | ||
+ | * [[KBDX]] | ||
== Timeseries == | == Timeseries == | ||
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== Uncategorized == | == Uncategorized == | ||
+ | * [[Apache Parquet]] | ||
+ | * [[AskSam]] (.ask) | ||
* [[DeskMate Filer]] (.fil) | * [[DeskMate Filer]] (.fil) | ||
* [[Folio Infobase]] (.nfo) | * [[Folio Infobase]] (.nfo) |
Latest revision as of 23:45, 15 March 2024
See also Serialization for methods of storing, exporting, importing, and transferring structured data.
Classes of databases:
[edit] CODASYL databases
[edit] General databases
[edit] Hierarchical databases
[edit] ISAM (Indexed Sequential Access Method)
- Ability Database (.adb)
- Access (was also known as Jet)
- Extensible Storage Engine (ESE, EDB)
- Paradox (database)
[edit] Multiformat platforms/programs/libraries/utilities
[edit] NoSQL databases
- CouchDB
- DynamoDB (AWS cloud database)
- Elliptics
- MongoDB
- Clusterpoint
[edit] Object-oriented databases
[edit] Relational databases
- Athena (AWS)
- Cornerstone (Infocom)
- Derby
- FileMaker Pro
- h2database
- HSQLDB
- IBM DB2
- Ingres
- MariaDB
- MemSQL
- MySQL
- Oracle
- Provue Panorama (.pan, .pandb)
- PostGRESQL
- SIARD
- SQL Anywhere
- SQLite
- Virtuoso
- Watcom SQL
[edit] Triplestores
[edit] XML databases
- BaseX
- Documentum xDB
- eXist-db
- MarkLogic
- Oracle XML DB
- Qizx
- Sedna
- Tamino
- TEXTML
- TigerLogic XDMS
- Xpriori XMS
- XQuantum
[edit] Database programming/query languages
- Clipper (programming language)
- dBase programming language
- Fauna Query Language (FQL)
- FoxPro programming language
- PRQL
- SPARQL
- SQL
[edit] Encrypted databases
[edit] Timeseries
[edit] Cloud/network/API databases
[edit] Uncategorized
- Apache Parquet
- AskSam (.ask)
- DeskMate Filer (.fil)
- Folio Infobase (.nfo)
- Info File FLR (.flr)
- GNU Recutils [1]
- Microsoft Works Database
- TDB (Samba)
- Tabular Data Package
[edit] Conversion software
[edit] Links
- Frictionless data
- Open Data Research Network
- Don't use Hadoop - your data isn't that big
- Why Proprietary Big Data Technologies Have No Hope Of Competing With Hadoop
- Social networks stick with MySQL
- From Punched Cards to "Big Data": A Social History of Database Populism
- If you move your mouse continually the query may not fail. Do not stop moving (that's Microsoft for you)
- Who's to blame for 'Daughter Killed in Car Crash' mailing sent to parents? Big Data.
- Big data: are we making a big mistake?
- Big data analysis to see what's missing from the national archives
- Terabyte index, search and faceting with Solr
- Library of Congress Recommended Format Specifications: Datasets
- dataset: databases for lazy people (Python module)
- IBM Hadoop info
- Database Preservation Toolkit
- Gay marriage: the database engineering perspective