In today’s AI-driven world, the importance of efficient data management cannot be overstated. Vector databases play a crucial role in providing the infrastructure for ML applications. In this article, we will explore the significance of vector databases in AI and examine the current top vector database options available in the market.
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Flutter databases in 2023 – an overview
Flutter databases are databases specifically designed to give Flutter / Dart apps fast data persistence. Other databases can be used depending on the database and use case, but in our experience Flutter databases are easier to use and faster in Flutter/Dart apps. Note: Because “Dart” is such an ambiguous term, “Flutter database” is the established terminology (even though from a tech perspective it is not a great name).
As a Flutter app developer, selecting the right local database is important. After a market overview and terminology, we’ll compare the most popular options (ObjectBox, sqflite, Drift, Floor, Isar, Sembast, Realm) in a matrix.
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Embedded databases explained
Accelerated by the Corona pandemic, exploding numbers of connected devices and data volumes drive a shift towards decentralized Edge Computing and with it the need for embedded database management systems continues to grow rapidly. Analysts expect the Embedded Database market to grow by 60% annually (CAGR) from 2022-2029.
What is an Embedded Database?
What is a database vs. a DBMS?
A “database” is an organized collection of (structured or unstructured) data, typically stored electronically in a computer system. The most common database operations are Create, Read, Update, Delete (CRUD). “Database Management System” (or DBMS) refers to the piece of software for storing and managing that data. However, often the term “database” is also used loosely to refer to a DBMS, and you will find most DBMS only use the term database in their name and communication.
What does “embedded” mean in the database world?
The term “embedded” can mean two different things when used in the context of databases:
- “Database for embedded systems” is a database specifically designed to be used in embedded systems. Embedded systems are systems consisting of a deeply integrated hardware / software combination, e.g. electronic control units (ECUs), IoT devices. A database for such systems must have
- a small footprint and
- be optimised to run on highly restricted hardware
- thrifty with resource-use, e.g. CPU, Memory, Battery.
- “Embedded database”: this means that the database is deeply integrated in the software / application. Also referred to as an “embeddable database”, “embedded database management system” or “embedded DBMS (Database Management System)”.