Firebase vs PlanetScale for Solo Developers

Quick Comparison

Firebase Overview

Firebase is Google's app development platform. You get Firestore (a NoSQL document database), authentication, file storage, hosting, cloud functions, push notifications, analytics, and remote config. It's a complete backend with especially strong mobile SDKs. You can build a full application without writing a single backend API endpoint.

The Spark (free) tier is genuinely generous. 1GiB Firestore storage, 50,000 daily reads, 20,000 daily writes, 10GB hosting bandwidth. For prototypes and early-stage projects, that's plenty of room to build and test without spending money.

Real-time sync is Firebase's signature feature. Update a document in Firestore and every connected client sees the change instantly. No WebSocket setup, no pub/sub configuration, no polling. Just listen to a document or collection, and changes appear. For chat apps, collaborative tools, and dashboards, this is transformative.

The tradeoff is that Firestore is NoSQL. No joins, no SQL, no relational queries. You model your data as documents and collections, and you query within those constraints. Complex data relationships that are natural in SQL become awkward in Firestore.

PlanetScale Overview

PlanetScale is serverless MySQL built on Vitess. The core value is database branching and non-blocking schema changes. Create a branch, modify your schema, test it, and merge it back to production without any downtime. No locked tables, no maintenance windows. Your application keeps running while the schema changes apply.

PlanetScale removed their free tier. The old Hobby plan was retired on April 8, 2024, and every database created since then sits on a paid plan from day one. The cheapest MySQL option is now the PS-10 cluster on the Base plan at $39/month. PlanetScale has since added managed Postgres, which starts cheaper at PS-5 for $5/month, so MySQL is no longer the only entry point. Either way, for a solo developer, paying from day one is a real commitment when free alternatives exist.

The developer experience is solid. A clean dashboard, a CLI for managing branches, and compatibility with standard MySQL tools and ORMs. If you know MySQL, PlanetScale feels familiar. The branching workflow adds a layer of safety for schema changes that traditional MySQL doesn't provide.

Key Differences

Data model. Firebase uses Firestore, a NoSQL document database. You store JSON-like documents in collections. PlanetScale runs MySQL, a relational database with tables, rows, columns, and SQL. If your data is naturally relational (users, orders, products with relationships between them), PlanetScale's SQL model is a better fit. If your data is document-oriented with less rigid structure, Firebase might work.

Scope of service. Firebase is a platform with database, auth, storage, hosting, functions, analytics, and more. PlanetScale is just a MySQL database. If you choose PlanetScale, you need separate services for auth, file storage, and hosting. Firebase bundles everything. For a solo developer minimizing moving parts, Firebase's integrated approach saves time.

Free tier. Firebase has a generous one. PlanetScale doesn't have one at all. For experimentation, prototyping, and side projects, this matters. You can build and launch on Firebase's free tier. PlanetScale costs $39/month from the start.

Query capabilities. PlanetScale supports full SQL: joins, aggregations, subqueries, window functions. Firebase's Firestore supports basic document queries with limited filtering and no joins. If you need to generate reports, run analytics queries, or join data across entities, PlanetScale (or any SQL database) is dramatically more capable.

Real-time. Firebase has built-in real-time sync across all connected clients. PlanetScale has no real-time capability. If your application needs live updates (chat, collaborative editing, live dashboards), Firebase delivers that out of the box. With PlanetScale, you'd need to build real-time on top with something like Pusher or Socket.io.

Pricing model. Firebase charges per read, write, and storage. Costs can spike unpredictably with traffic. PlanetScale charges a flat monthly fee with usage limits. Firebase's pay-per-operation model is cheaper for low-traffic apps but riskier for apps that go viral. PlanetScale's flat pricing is more predictable.

By the Numbers (2026)

Here is the verified state of both platforms as of 2026-05-28.

Firebase (Spark free tier, Cloud Firestore Standard edition)

• Stored data, 1 GiB total
• Document reads, 50,000 per day
• Document writes, 20,000 per day
• Document deletes, 20,000 per day
• Network egress, 10 GiB per month
• Cloud Storage, 5 GB with 1 GB per day transfer
• Hosting, 10 GB storage with 360 MB per day transfer
• Authentication, 50,000 monthly active users
• No payment method required to start

Firebase (Blaze pay-as-you-go, charges only above the free allocation)

• Document reads, $0.06 per 100,000
• Document writes, $0.18 per 100,000
• Document deletes, $0.02 per 100,000
• Stored data, $0.18 per GiB per month
• Cloud Functions, 2 million invocations per month free, then $0.40 per million
• No hard spending cap, so a runaway query can run the bill up fast

Those Blaze unit rates are the multi-region (nam5) values Google publishes in its own Firestore billing example. Single-region locations such as us-central1 are cheaper per operation, so treat the figures above as the conservative end.

PlanetScale

• No free tier, the Hobby plan was retired on April 8, 2024
• MySQL (Vitess), from $39 per month at the PS-10 cluster size on the Base plan
• Postgres, from $5 per month at the PS-5 cluster size
• Metal (NVMe-backed) tiers start higher, from $50 per month
• Pricing shown is for AWS us-east-1, and varies by cloud provider and region

The headline takeaway has not changed since this post first ran. Firebase still lets you start at zero dollars. PlanetScale still bills from the first day a database exists. What has changed is that PlanetScale now has a $5 Postgres entry point, so the $39 MySQL figure is no longer the only door in.

Real Cost at Solo-Dev Scale

Numbers in isolation do not help you decide. So here is a worked example for a realistic early-stage solo project, using the real per-unit rates above.

Assumptions. A small app with 1,000 daily active users. Each user triggers roughly 80 document reads and 25 document writes per day. That is 80,000 reads and 25,000 writes per day, or about 2.4 million reads and 750,000 writes per month. Storage sits at 2 GiB. No real-time fan-out beyond normal listeners.

On Firebase Blaze. The Spark allocation covers the first 50,000 reads and 20,000 writes every day for free, so you only pay for what spills over.

• Reads, 80,000 per day minus 50,000 free, leaves 30,000 billable per day. Over 30 days that is 900,000 reads, at $0.06 per 100,000, about $0.54 per month.
• Writes, 25,000 per day minus 20,000 free, leaves 5,000 billable per day. Over 30 days that is 150,000 writes, at $0.18 per 100,000, about $0.27 per month.
• Storage, 2 GiB with 1 GiB free, leaves 1 GiB billable at $0.18, about $0.18 per month.

That lands near $1 per month, and that is before the $300 in Google Cloud credit most new Blaze projects get. For a project this size, Firebase is effectively free.

On PlanetScale. There is no usage math to do at this scale because the floor is the plan price. MySQL starts at $39 per month flat at PS-10, or Postgres at $5 per month flat at PS-5. The 1,000-user workload sits well inside either plan, so you pay the plan price and nothing more.

The honest read. At 1,000 users, Firebase costs about a dollar and PlanetScale Postgres costs $5, or PlanetScale MySQL costs $39. Firebase wins on raw price at this scale by a wide margin. The picture flips at the other end. The same per-operation model that makes Firebase nearly free here is the one with no spending cap, so a viral spike or a bad query loop can turn that dollar into hundreds in a day. PlanetScale's flat fee is the predictable opposite. You overpay early for a bill that does not surprise you later. For a solo developer validating an idea, the Firebase math is hard to argue with. For a solo developer who has already found traction and wants relational queries with a bill they can forecast, PlanetScale Postgres at $5 is now a far easier sell than the old $39-only MySQL story.

When to Choose Firebase

• You're building a mobile app or real-time web application
• You want a complete platform with auth, storage, hosting, and database
• Real-time sync across clients is important
• You want to start free and pay only as usage grows
• Your data model works well as documents rather than relational tables

When to Choose PlanetScale

• Your data is relational and you need SQL querying
• You need non-blocking schema changes for a production database
• Database branching is important for your development workflow
• You prefer MySQL and want a managed, serverless MySQL platform
• Your application doesn't need real-time sync from the database layer

The Verdict

For most solo developers, Firebase is the better choice. The 8/10 vs 6/10 rating reflects Firebase's broader feature set, free tier, and lower barrier to entry.

Firebase gives you a complete backend platform. Auth, storage, hosting, real-time database, and more. You can build and ship a full application without adding any other services. The free tier lets you validate your idea before spending money.

PlanetScale gives you an excellent MySQL database with great tooling for schema changes. But that's all it gives you. You need to add auth, storage, hosting, and everything else separately. The lack of a free tier means you're spending $39/month before your first user signs up.

The main reason to choose PlanetScale over Firebase is if your data is highly relational and you need SQL. Firestore's NoSQL model breaks down with complex data relationships and reporting queries. If your application needs serious querying power, a SQL database is essential, and PlanetScale provides a great managed MySQL experience.

My recommendation: if you're building something fast and don't need complex SQL, Firebase gets you there with less effort and less cost. If your data model demands SQL, skip PlanetScale and look at Supabase or Neon instead. Both offer PostgreSQL with free tiers. The only compelling reason for PlanetScale is MySQL-specific requirements.

Sources

All figures checked on 2026-05-28.

• PlanetScale pricing, plan SKUs and prices (PS-10 MySQL at $39/mo, PS-5 Postgres at $5/mo, Metal from $50/mo)
• PlanetScale Hobby plan deprecation FAQ, free tier retired April 8, 2024
• PlanetScale Hobby plan deprecation changelog, deprecation timeline
• Firebase pricing, Spark free-tier limits and Blaze plan
• Firebase pricing plans documentation, Spark vs Blaze product limits
• Firestore billing example, Blaze per-operation unit rates ($0.06 per 100K reads, $0.18 per 100K writes, $0.02 per 100K deletes, $0.18 per GiB storage)
• Google Cloud Firestore pricing, regional vs multi-region operation pricing