PostgreSQL
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Layerbase is a managed database platform built around flat monthly pricing instead of metered billing. One account gives you 18 database engines in the cloud, including PostgreSQL, MySQL, MariaDB, FerretDB (MongoDB wire protocol), Valkey, DuckDB, ClickHouse, QuestDB, and InfluxDB, all managed from a single dashboard with query consoles for every engine, automatic backups, database branching, and wake-on-connect hibernation.
Plans are Free, Solo ($5/month), and Pro ($15/month). Dedicated servers ($35-$120/month) have no database or branch limits. All billing is unmetered, so your monthly bill is always predictable. Free-tier databases hibernate when idle and wake on connection instead of being deleted, so side projects keep working. Pro adds features like mTLS client certificates for PostgreSQL.
The same team ships Layerbase Desktop, a macOS app for running and browsing local databases, and the Layerbase CLI on npm, which manages 21 engines locally for development, CI pipelines, and AI agents.
PostgreSQL LayerbaseLayerbase's answer:
Layerbase gives you 18 database engines in one account with flat monthly pricing. Instead of running Postgres on one vendor, Redis on another, and ClickHouse on a third, you provision all of them from a single dashboard, and the bill never changes based on usage. Every engine gets the same tooling: query console, automatic backups, branching, and wake-on-connect hibernation, so a free-tier side project stays alive instead of being deleted for inactivity.
Layerbase's answer:
Pick Layerbase when you want a predictable bill and more than one kind of database. Most competitors host a single engine and meter usage, so costs are hard to forecast and a second engine means a second vendor. Layerbase replaces that stack with one account: Postgres for your app, Valkey for caching, ClickHouse for analytics, FerretDB for documents, all on Free, Solo ($5/month), or Pro ($15/month) plans, with dedicated servers from $35/month when you outgrow shared capacity. The free tier hibernates idle databases and wakes them on connection rather than deleting them.
Layerbase's answer:
Developers and small teams who run real products without a dedicated ops person: indie hackers with side projects, startups that want Postgres plus a cache plus analytics without three vendors, and agencies managing databases for multiple clients. The CLI also makes it a fit for CI pipelines and AI coding agents that need to spin up disposable local databases.
Layerbase's answer:
Layerbase started as a command-line tool for spinning up local databases without wrestling with Docker configs or Homebrew versions: one command, any engine, running in seconds. Once that worked for local development, the obvious next question was why the cloud version of the same idea had to mean a different vendor for every engine and a bill that changes every month. So we built the managed platform around the same principles: every engine in one place, provisioning in seconds, and flat pricing you can predict. The desktop app and the CLI are still there for local work, and the cloud picks up where they leave off.
Layerbase's answer:
TypeScript end to end. The web app and dashboard are Next.js and React, the desktop app is Electron, and the CLI ships on npm. Databases run in containers on bare-metal servers with ZFS storage, which is what makes near-instant database branching possible, and connections are routed with TLS/SNI so hibernated databases can wake on connect.
Based on our record, PostgreSQL seems to be more popular. It has been mentiond 19 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In this new series we will be creating an API written in go, using a framework like Chi, connecting to a PostgreSQL, and have it deployed to a site like Railway. - Source: dev.to / 5 months ago
PostgreSQL 17 Performance Guide โ Official docs for the latest performance improvements. - Source: dev.to / 5 months ago
You also might be saying, Why not include the credit and attribution data with the product data and just use one data file? Thats a great question. I could have for the purpose of this demo, but if there were a backend to this project and a relational database like PostgreSQL attached to it, I would still have both sets of data in separate tables in the database. By using a foreign key between related records in... - Source: dev.to / 11 months ago
In this quick post, weโll walk through implementing an Upsert operation in Hasura using PostgreSQL and GraphQL. - Source: dev.to / almost 2 years ago
Iโm on MacOS and erlang.org, elixir-lang.org, and postgresql.org all suggest installation via Homebrew, which is a very popular package manager for MacOS. - Source: dev.to / over 2 years ago
MySQL - The world's most popular open source database
Supabase - An open source Firebase alternative
Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.
Neon Database - Postgres made for developers. Easy to Use, Scalable, Cost efficient solution for your next project.
SQLite - SQLite Home Page
PlanetScale - The last database you'll ever need. Go from idea to IPO.
