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  1. Stackups
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  4. Databases
  5. Azure Functions vs SQLite

Azure Functions vs SQLite

OverviewDecisionsComparisonAlternatives

Overview

SQLite
SQLite
Stacks19.9K
Followers15.2K
Votes535
Azure Functions
Azure Functions
Stacks785
Followers705
Votes62

Azure Functions vs SQLite: What are the differences?

Introduction:

This markdown code provides a comparison between Azure Functions and SQLite, highlighting their key differences.

  1. Scalability and Usage: Azure Functions is a serverless compute service that allows developers to run small pieces of code or functions in the cloud. It offers automatic scaling and can handle large workloads efficiently. On the other hand, SQLite is a software library that provides a relational database management system. It is designed for embedded use and can be included as part of an application. SQLite is suitable for small to medium-sized applications and does not scale as well as Azure Functions.

  2. Architecture: Azure Functions follows a serverless architecture, where the code is executed in response to events or triggers. It supports various programming languages and integrates well with other Azure services. SQLite, on the other hand, follows a client-server architecture where the database engine runs as a separate process. Applications communicate with the SQLite engine using SQL queries.

  3. Data Storage: Azure Functions are primarily used for executing code and can utilize various data storage options provided by Azure, such as Azure Storage, Azure SQL Database, and Cosmos DB. SQLite, on the other hand, provides a local relational database that stores data in a single file on the file system. It does not support distributed storage options like Azure Functions.

  4. Deployment and Management: Azure Functions can be deployed and managed easily using Azure Portal, Azure CLI, or Azure DevOps. It offers built-in monitoring, logging, and automatic scaling features. SQLite, on the other hand, needs to be included as part of an application package and deployed with the application. It does not have built-in management features and needs to be managed through the application code.

  5. Performance and Reliability: Azure Functions benefit from the scalability and reliability provided by the underlying Azure infrastructure. They can handle high workloads and have built-in fault tolerance mechanisms. SQLite, on the other hand, is optimized for local database operations and can provide high performance for small to medium-sized datasets. However, it may not be as reliable as Azure Functions for large-scale applications.

  6. Cost: Azure Functions follow a pay-as-you-go model, where you are billed based on the actual consumption of resources. The pricing depends on factors such as execution time, memory usage, and number of executions. SQLite, on the other hand, is open source and free to use. There are no additional costs associated with using SQLite as it is embedded within the application.

In summary, Azure Functions provide a scalable and serverless compute platform with various integration options, while SQLite offers a lightweight and embedded database solution suitable for local storage in applications.

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Advice on SQLite, Azure Functions

Dimelo
Dimelo

Nov 5, 2020

Needs adviceonSQLiteSQLiteMySQLMySQLPostgreSQLPostgreSQL

I need to add a DBMS to my stack, but I don't know which. I'm tempted to learn SQLite since it would be useful to me with its focus on local access without concurrency. However, doing so feels like I would be defeating the purpose of trying to expand my skill set since it seems like most enterprise applications have the opposite requirements.

To be able to apply what I learn to more projects, what should I try to learn? MySQL? PostgreSQL? Something else? Is there a comfortable middle ground between high applicability and ease of use?

671k views671k
Comments
Mark
Mark

Nov 2, 2020

Needs adviceonMicrosoft AzureMicrosoft Azure

Need advice on what platform, systems and tools to use.

Evaluating whether to start a new digital business for which we will need to build a website that handles all traffic. Website only right now. May add smartphone apps later. No desktop app will ever be added. Website to serve various countries and languages. B2B and B2C type customers. Need to handle heavy traffic, be low cost, and scale well.

We are open to either build it on AWS or on Microsoft Azure.

Apologies if I'm leaving out some info. My first post. :) Thanks in advance!

133k views133k
Comments
Stephen
Stephen

Senior DevOps Engineer at Vital Beats

Nov 9, 2020

Review

A question you might want to think about is "What kind of experience do I want to gain, by using a DBMS?". If your aim is to have experience with SQL and any related libraries and frameworks for your language of choice (python, I think?), then it kind of doesn't matter too much which you pick so much. As others have said, SQLite would offer you the ability to very easily get started, and would give you a reasonably standard (if a little basic) SQL dialect to work with.

If your aim is actually to have a bit of "operational" experience, in terms of things like what command line tools might be available as standard for the DBMS, understanding how the DBMS handles multiple databases, when to use multiple schemas vs multiple databases, some basic privilege management etc. Then I would recommend PostgreSQL. SQLite's simplicity actually avoids most of these experiences, which is not helpful to you if that is what you hope to learn. MySQL has a few "quirks" to how it manages things like multiple databases, which may lead you to making less good decisions if you tried to take your experience over to different DBMS, especially in bigger enterprise roles. PostgreSQL is kind of a happy middle ground here, with the ability to start PostgreSQL servers via docker or docker-compose making the actual day-to-day management pretty easy, while still giving you experience of the kinds of considerations I have listed above.

At Vital Beats we make use of PostgreSQL, largely because it offers us a happy balance between good management and backup of data, and good standard command line tools, which is essential for us where we are deploying our solutions within Kubernetes / docker, and so more graphical tools are not always appropriate for us. PostgreSQL is also pretty universally supported in terms of language libraries and frameworks, without having to make compromises on how we want to store and layout our data.

316k views316k
Comments

Detailed Comparison

SQLite
SQLite
Azure Functions
Azure Functions

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.

-
Easily schedule event-driven tasks across services;Expose Functions as HTTP API endpoints;Scale Functions based on customer demand;Develop how you want, using a browser-based UI or existing tools;Get continuous deployment, remote debugging, and authentication out of the box
Statistics
Stacks
19.9K
Stacks
785
Followers
15.2K
Followers
705
Votes
535
Votes
62
Pros & Cons
Pros
  • 163
    Lightweight
  • 135
    Portable
  • 122
    Simple
  • 81
    Sql
  • 29
    Preinstalled on iOS and Android
Cons
  • 2
    Not for multi-process of multithreaded apps
  • 1
    Needs different binaries for each platform
Pros
  • 14
    Pay only when invoked
  • 11
    Great developer experience for C#
  • 9
    Multiple languages supported
  • 7
    Great debugging support
  • 5
    Can be used as lightweight https service
Cons
  • 1
    Poor support for Linux environments
  • 1
    Sporadic server & language runtime issues
  • 1
    No persistent (writable) file system available
  • 1
    Not suited for long-running applications
Integrations
No integrations available
Azure DevOps
Azure DevOps
Java
Java
Bitbucket
Bitbucket
Node.js
Node.js
Microsoft Azure
Microsoft Azure
GitHub
GitHub
Visual Studio Code
Visual Studio Code
JavaScript
JavaScript
Azure Cosmos DB
Azure Cosmos DB
C#
C#

What are some alternatives to SQLite, Azure Functions?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

AWS Lambda

AWS Lambda

AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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