EPFL Logo
fr|en
Login
Concept

Embedded database

An embedded database system is a database management system (DBMS) which is tightly integrated with an application software; it is embedded in the application. It is a broad technology category that includes: database systems with differing application programming interfaces (SQL as well as proprietary, native APIs) database architectures (client-server and in-process) storage modes (on-disk, in-memory, and combined) database models (relational, object-oriented, entity–attribute–value model, network/CODASYL) target markets The term embedded database can be confusing because only a small subset of embedded database products are used in real-time embedded systems such as telecommunications switches and consumer electronics. (See mobile database for small-footprint databases that could be used on embedded devices.) Major embedded database products include, in alphabetical order: Advantage Database Server from Sybase Inc. ArcticDB from Man Group Berkeley DB from Oracle Corporation DuckDB from DuckDB Labs CSQL from csqlcache.com Extensible Storage Engine from Microsoft eXtremeDB from McObject Firebird Embedded HSQLDB from HSQLDB.ORG, Informix Dynamic Server (IDS) from IBM InfinityDB from Boiler Bay Inc. InnoDB from Oracle Corporation InterBase (Both server and mobile friendly deeply embedded version) from Embarcadero Technologies KùzuDB LanceDB Lightning Memory-Mapped Database (LMDB) from Symas Corp. Mimer SQL Raima Database Manager from Raima solidDB SQLite SQL Server Compact from Microsoft Corporation Sophia Embeddable key-value storage Advantage Database Server Sybase's Advantage Database Server (ADS) is an embedded database management system. It provides both ISAM and relational data access and is compatible with multiple platforms including Windows, Linux, and Netware. It is available as a royalty-free local file-server database or a full client-server version. ADS is highly scalable, with no administration, and has support for a variety of IDEs including .NET Framework (.

Official source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
Related courses (1)
CS-422: Database systems
This course is intended for students who want to understand modern large-scale data analysis systems and database systems. It covers a wide range of topics and technologies, and will prepare students
Related lectures (26)
File Organization and Indexing
Explores file organization, record formats, indexing techniques, and index classifications in databases, emphasizing the importance of efficient data storage and access.
Query Operators: Part 1
Explores query processing steps, physical plans, pipelined execution, and hashing for projections and joins.
File Organization and Indexing
Explores file organization, indexing methods, and database storage design, including record formats, page formats, and index classification.
Show more
Related publications (83)

When Your AI Becomes a Target: AI Security Incidents and Best Practices

Alexandre Massoud Alahi, Kathrin Grosse

In contrast to vast academic efforts to study AI security, few real-world reports of AI security incidents exist. Released incidents prevent a thorough investigation of the attackers' motives, as crucial information about the company and AI application is ...
AAAI Press2024

Robustness Against Read Committed: A Free Transactional Lunch

Christoph Koch, Bas Ketsman

Transaction processing is a central part of most database applications. While serializability remains the gold standard for desirable transactional semantics, many database systems offer improved transaction throughput at the expense of introducing potenti ...
ASSOC COMPUTING MACHINERY2022

Identifying Mixtures of Isomeric Human Milk Oligosaccharides by the Decomposition of IR Spectral Fingerprints

Thomas Rizzo, Ahmed Ben Faleh, Stephan Warnke, Ali H Abikhodr, Vasyl Yatsyna

The analysis of glycans presents a significant challenge that arises from their isomeric heterogeneity. While high-resolution ion mobility spectrometry (IMS) has shown the ability to resolve subtly different glycan isomers, their unambiguous assignment rem ...
2021
Show more
Related people (25)
Show more
Related units (2)
Data-Intensive Applications and Systems Laboratory
L'IDIAP Laboratory
Related concepts (5)
Key–value database
A key–value database, or key–value store, is a data storage paradigm designed for storing, retrieving, and managing associative arrays, and a data structure more commonly known today as a dictionary or hash table. Dictionaries contain a collection of objects, or records, which in turn have many different fields within them, each containing data. These records are stored and retrieved using a key that uniquely identifies the record, and is used to find the data within the database.
NoSQL
A NoSQL (originally referring to "non-SQL" or "non-relational") database provides a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases. Such databases have existed since the late 1960s, but the name "NoSQL" was only coined in the early 21st century, triggered by the needs of Web 2.0 companies. NoSQL databases are increasingly used in big data and real-time web applications.
Database engine
A database engine (or storage engine) is the underlying software component that a database management system (DBMS) uses to create, read, update and delete (CRUD) data from a database. Most database management systems include their own application programming interface (API) that allows the user to interact with their underlying engine without going through the user interface of the DBMS. The term "database engine" is frequently used interchangeably with "database server" or "database management system".
Show more
Related MOOCs (4)
Geographical Information Systems 1
Organisé en deux parties, ce cours présente les bases théoriques et pratiques des systèmes d’information géographique, ne nécessitant pas de connaissances préalables en informatique. En suivant cette
Geographical Information Systems 1
Organisé en deux parties, ce cours présente les bases théoriques et pratiques des systèmes d’information géographique, ne nécessitant pas de connaissances préalables en informatique. En suivant cette
Introduction to Geographic Information Systems (part 1)
Organisé en deux parties, ce cours présente les bases théoriques et pratiques des systèmes d’information géographique, ne nécessitant pas de connaissances préalables en informatique. En suivant cette
Show more

Copyright © 2025 EPFL, all rights reserved

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.