Bedrock VS litestream

Also Expensify's Bedrock, which powers their famous "Scaling SQLite to 4M QPS" article:

https://bedrockdb.com/

https://use.expensify.com/blog/scaling-sqlite-to-4m-qps-on-a...

Lots of things don't need failover, but if you do, you can use Bedrock, which is built on sqlite.

At first, I thought Amazon was launching their own SQLite hosted database.

BedrockDB is a SQLite based database with MySQL compatible drivers.

https://bedrockdb.com

Vapor[0] based on Swift. Advantage of this is that you don't have to evaluate multiple frameworks for Swift and suffer paralysis by analysis. All the Swift community is behind one framework.

The next is Actix[1] based on Rust. There are many frameworks in Rust and most of them have not reached 1.0 And which framework will survive becomes a question.

Other not so well-known is Wt[2] based on C++. This actually is created for programmers who are not web developers. The development experience is similar to desktop app development like Qt.

If that is not acceptable then Django[3], based on Python, is the one that will be good for you.

For the front-end I would recommend Flutter[4]. As much as I dislike getting tied to a single company for whom the framework is not their bread-and-butter, I don't see any other viable options to Flutter that will cover all web, mobile and desktop out of the box.

For databases, I would recommend BedrockDB[5], if you are not averse to SQLite. Or FoundationDB[6], if you want NoSQL. But if you are not concerned about horizontal scalability or okay with self-managing database availability, then PostgreSQL[7] is a very good option.

For push notifications, PushPin[8] is a good option.

[0] https://vapor.codes

[1] https://actix.rs

[2] https://webtoolkit.eu

[3] https://www.djangoproject.com

[4] https://flutter.dev

[5] https://bedrockdb.com

[6] https://www.foundationdb.org

[7] https://postgresql.org

[8] https://pushpin.org

Recently I stumbled upon BedrockDB[0] from Expensify. It is based on SQLite and has very interesting idea on HA and distributed DB.

[0] https://bedrockdb.com

This is not SQLite though, also the test is trivial compared to TPC: https://github.com/Expensify/Bedrock/blob/dbarrett_perftest/...

Don’t forget BedrockDB (built on SQLite) that’s used in production at Expensify.

How it scales as well.

https://bedrockdb.com/

https://blog.expensify.com/2018/01/08/scaling-sqlite-to-4m-q...

I have not, but I keep meaning to collate everything I've learned into a set of useful defaults just to remind myself what settings I should be enabling and why.

Regarding Litestream, I learned pretty much all I know from their documentation: https://litestream.io/

This presentation is focused on the use-case of vertically scaling a single server and driving everything through that app server, which is running SQLite embedded within your application process.

This is the sweet-spot for SQLite applications, but there have been explorations and advances to running SQLite across a network of app servers. LiteFS (https://fly.io/docs/litefs/), the sibling to Litestream for backups (https://litestream.io), is aimed at precisely this use-case. Similarly, Turso (https://turso.tech) is a new-ish managed database company for running SQLite in a more traditional client-server distribution.

This post intends to help you setup replication for SQLite using Litestream.

I've been messing around with litestream. It is so cool. And, I either found a bug in the -timestamp switch or don't understand it correctly.

What I want to do is time travel into my sqlite database. I'm trying to do some forensics on why my web service returned the wrong data during a production event. Unfortunately, after the event, someone deleted records from the database and I'm unsure what the data looked like and am having trouble recreating the production issue.

Litestream has this great switch: -timestamp. If you use it (AFAICT) you can time travel into your database and go back to the database state at that moment. However, it does not seem to work as I expect it to:

https://github.com/benbjohnson/litestream/issues/564

I have the entirety of the sqlite database from the production event as well. Is there a way I could cycle through the WAL files and restore the database to the point in time before the records I need were deleted?

Will someone take sqlite and compile it into the browser using WASM so I can drag a sqlite database and WAL files into it and then using a timeline slider see all the states of the database over time? :)

We're using SQLite in production very heavily with millions of databases and fairly high operations throughput.

But we did run into some scariness around trying to use Litestream that put me off it for the time being. Litestream is really cool but it is also very much a cool hack and the risk of database corruption issues feels very real.

The scariness I ran into was related to this issue https://github.com/benbjohnson/litestream/issues/510

Litestream is a library that allows you to easily create backups. You can probably just do analytic queries on the backup data and reduce load on your server.

https://litestream.io/

One possible strategy is to have one directory/file per customer which is one SQLite file. But then as the user logs in, you have to look up first what database they should be connected to.

OR somehow derive it from the user ID/username. Keeping all the customer databases in a single directory/disk and then constantly "lite streaming" to S3.

Because each user is isolated, they'll be writing to their own database. But migrations would be a pain. They will have to be rolled out to each database separately.

One upside is, you can give users the ability to take their data with them, any time. It is just a single file.

[0]. https://litestream.io/

Upstream Kuma uses a local SQLite database to store account data, configuration for services to monitor, notification settings, and more. To make sure that our data is available across redeploys, we will bundle Uptime Kuma with Litestream, a project that implements streaming replication for SQLite databases to a remote object storage provider. Effectively, this allows us to treat the local SQLite database as if it were securely stored in a remote database.