Best PlanetScale Alternatives (2026): What ChatGPT, Claude & Gemini Recommend

PlanetScale is named in 32 of 50 recorded AI answers and named first in none. That puts it fifth of the 17 vendors the models named for startup databases. The alternatives named more often are Supabase (49 of 50, first in 26), AWS RDS (46 of 50, first in 12) and Neon (45 of 50, first in 11). MongoDB ties PlanetScale on 32. Turso (16) and Firebase (12) follow.

These are counts of which products ten AI models name, not tests of the databases.

TL;DR

• Supabase is the switch the models point to most. Nine of the ten models name it more than any other product.
• For a database-only move to Postgres that keeps branching, Neon is the alternative the models name most.
• To stay on MySQL, look at AWS RDS: DB Pro lists it with the self-managed options that give “full MySQL with no compromises”.
• Which assistant a buyer asks changes the answer. Anthropic’s models name PlanetScale (93.3% of their 15 answers), while GPT-5.6 Sol and GPT-5.6 Luna name it once each.
• MongoDB, Turso and Firebase are named for other data shapes, and none of them is ever named first.

Where does PlanetScale sit in AI answers?

PlanetScale sits fifth in the startup-database category: present in most answers, first in none.

Measured: named 32 of 50 (PlanetScale 64%), first 0 of 50 (PlanetScale 0%), average position 4.75.

Google Cloud SQL sits one place above it on 33 of 50. It isn’t one of the six alternatives covered here, and the full category table is on the startup databases index. MongoDB matches PlanetScale’s 32 but sits lower in the answers, at an average position of 5.16. Every one of the ten models names PlanetScale at least once. None names it first.

The models name PlanetScale for its MySQL lineage and for changing schemas without downtime. Claude Opus 5 described it as “MySQL-compatible, built on Vitess, with schema branching and non-blocking schema changes.” Gemini 3.5 Flash gave its key strength as “Incredible horizontal scale and non-blocking schema migrations (meaning zero-downtime updates).” Claude Opus 5 also pointed to the newer Postgres offering in one of its answers.

PlanetScale’s homepage says it offers Vitess/MySQL, Neki and Postgres.

Most of the answers describe the MySQL product. A buyer who reads PlanetScale as a MySQL-only choice is reading those answers, not the vendor.

1. Supabase

Pick Supabase instead of PlanetScale if you want auth, storage and APIs to arrive with the database, and a move from MySQL to Postgres is acceptable.

Measured: named 49 of 50 (Supabase 98%), first 26 of 50 (Supabase 52%), average position 2.06.

The models treat Supabase as the startup default, not as a PlanetScale substitute. What they name it for is the bundle around the database. Claude Opus 5 put it this way: “The biggest genuine time-saver on this list, because auth alone is a week of work you skip.” That reason has nothing to do with sharding or schema changes, which is what PlanetScale is named for. So a buyer weighing the two is really choosing between a backend platform and a database. Supabase is also the only product in the category named first in more than half the answers.

DB Pro describes Supabase as more than just a database, with auth, storage, edge functions and auto-generated APIs.

Pros

• Named in 49 of 50 answers, the highest count in the category
• Auth, storage, edge functions and auto-generated APIs come with the database
• Nine of the ten models include it in all five answers

Cons

• PostgreSQL, not MySQL, so a MySQL schema has to be migrated
• Free-tier projects pause after 1 week of inactivity
• ChatGPT names AWS RDS more often than Supabase

Pricing: Free tier available, Pro starts at $25 a month.

Best for: early teams that want data, auth and storage on one platform and can run Postgres.

2. AWS RDS

Pick AWS RDS instead of PlanetScale if your app already runs on AWS and you want to stay on MySQL.

Measured: named 46 of 50 (AWS RDS 92%), first 12 of 50 (AWS RDS 24%), average position 3.02.

AWS RDS is the conservative answer, and the models say so plainly. Claude Opus 5 called it “The boring, safe choice.” ChatGPT names it in all five of its answers, more than any other product. The answers tend to attach a condition: pick it if you already run on AWS, or if compliance and infrastructure requirements are coming. For a PlanetScale user, the question is what changes. The SQL dialect can stay. The branch-per-change workflow PlanetScale is named for doesn’t come along.

DB Pro lists AWS RDS under self-hosted options and says self-managed means “no branching, no serverless, and you handle backups.”

Pros

• OpenAI’s three models include it in every one of their 15 answers (AWS RDS 100%)
• Full MySQL with no compromises, in DB Pro’s words
• Twelve answers put it first, second only to Supabase

Cons

• Only 2 of 5 Claude Fable 5 answers include it
• No branching and no serverless mode in DB Pro’s self-managed group

Pricing: Free tier available for 12 months, then about $15 a month minimum.

Best for: AWS-based teams that want to keep MySQL and accept a conventional managed instance.

3. Neon

Pick Neon instead of PlanetScale if you want a database-only service with branching and can move to Postgres.

Measured: named 45 of 50 (Neon 90%), first 11 of 50 (Neon 22%), average position 2.4.

Neon sits closest to PlanetScale’s own profile in the answers. Both are named as databases rather than backends, and both are named for branching. The difference is the engine and the lead: Neon is named first 11 times, PlanetScale never. Sonar Reasoning Pro framed Neon as the choice for a buyer who wants only a database, without bundled auth and storage, and who cares about serverless scaling and branching. The OpenAI models are the least consistent about it. ChatGPT names it in 2 of 5 answers.

DB Pro calls Neon “probably the closest spiritual successor to PlanetScale”.

Pros

• Appears in 45 of 50 answers, third in the category
• Scale to zero, so you stop paying when idle
• Every Google and Perplexity model names it in 5 of 5 answers
• LogRocket lists 10 branches on Neon’s free tier

Cons

• Syntax differences from MySQL, especially around auto-increment and JSON functions
• Claude and GPT-5.6 Luna each stop at 4 of 5 answers

Pricing: Free tier available, Pro starts at $19 a month.

Best for: teams that valued PlanetScale’s branching workflow and are ready to run Postgres.

4. MongoDB

Pick MongoDB instead of PlanetScale only if your data is document-shaped, because the models name it for documents, not as a MySQL replacement.

Measured: named 32 of 50 (MongoDB 64%), first 0 of 50 (MongoDB 0%), average position 5.16.

MongoDB ties PlanetScale on presence and trails it on position. The tie hides a different job. The answers file MongoDB Atlas under document or flexible-schema data, usually in a section apart from the relational picks. Claude (Claude Sonnet 5) named it for data that is naturally shaped as nested documents. Here, being named and being recommended part ways. Claude Opus 5 listed it and then added that many teams reach for it and later wish they’d used Postgres with JSONB. A MongoDB mention is often a routing note for one data shape, not a vote against PlanetScale.

LogRocket’s buyer checklist notes that some platforms “specialize in document databases (e.g., MongoDB)”.

Pros

• Level with PlanetScale on 32 of 50 answers
• Claude names it in all 5 of its answers
• Each of the ten models names it at least twice

Cons

• Never named first in 50 answers
• Average position 5.16, behind PlanetScale’s 4.75
• Pricing appears in none of the captured comparison pages

Pricing: No public pricing is recorded in the captured pages.

Best for: products whose core data is nested documents rather than related tables.

5. Turso

Pick Turso instead of PlanetScale if your app is read-heavy, runs close to users at the edge and can live with SQLite semantics.

Measured: named 16 of 50 (Turso 32%), first 0 of 50 (Turso 0%), average position 5.75.

Turso is named for a narrow case, and its count reflects that. The answers place it in an edge or lightweight group, usually beside Cloudflare D1, away from the relational services. Claude Opus 5 put it there for read-heavy, geographically distributed apps and noted that both products are relatively young. Sonar Reasoning Pro relayed a 2026 comparison that ranked Turso first for startups, citing its low entry price and generous free tier. Neither answer groups it with PlanetScale. Its mentions come mostly from the Perplexity pair and Gemini 3.5 Flash, so a buyer asking an OpenAI or Anthropic model is less likely to see it.

DB Pro describes Turso as “based on libSQL (a SQLite fork)”, providing replicated SQLite at the edge.

Pros

• Edge replicas for low latency globally
• Three of five answers from Gemini 3.5 Flash, Perplexity and Sonar Reasoning Pro include it
• 500 databases on the free tier

Cons

• Single-writer limitation, a SQLite constraint
• GPT-5.6 Luna and Claude Fable 5 never name it
• Not first in any of its 16 mentions

Pricing: Generous free tier, Scaler starts at $29 a month.

Best for: read-heavy apps that want data replicated close to their users.

6. Firebase

Pick Firebase instead of PlanetScale if you’re building a mobile or web app that needs realtime sync more than relational queries.

Measured: named 12 of 50 (Firebase 24%), first 0 of 50 (Firebase 0%), average position 4.08.

Firebase is the least-named of the six alternatives, and it’s named for a job PlanetScale isn’t named for. Claude (Claude Sonnet 5) listed Firebase Firestore for teams that want “realtime sync + auth + hosting bundled”, especially mobile and web apps with less complex relational needs. Sonar Reasoning Pro put Firebase Realtime Database under mobile and web apps that need real-time sync. The count is low, but Firebase sits early in the answers that include it. One reading, not measured here, is that the models reach for it only when an answer turns to realtime apps.

LogRocket describes Convex as a backend-as-a-service “similar to Firebase and Supabase”.

Pros

• Claude and Gemini 3.5 Flash each name it in 3 of 5 answers
• Sits at average position 4.08, ahead of PlanetScale’s 4.75
• Seven of the ten models name it at least once

Cons

• Absent from every answer by GPT-5.6 Sol, Claude Opus 5 and Perplexity
• 12 of 50 is the lowest count among the six alternatives
• Pricing is not recorded in any captured page

Pricing: No public pricing is recorded in the captured pages.

Best for: realtime mobile and web apps with light relational needs.

How the alternatives compare

Supabase leads the table. PlanetScale’s row shares a pattern with MongoDB, Turso and Firebase: frequent or occasional presence, no lead.

Share is the share of the 50 answers that named the product. Named first is the share where it appeared before any other tracked product. Entry prices, where the captured guides state them, sit in each entry above.

AWS RDS and Neon sit close together on presence and split by model family. The OpenAI models name AWS RDS in every answer, and name Neon (73.3% of their 15 answers). Below them, PlanetScale, MongoDB, Turso and Firebase are all named first zero times. Across the whole category, only Supabase, AWS RDS, Neon and Northflank are ever named first.

Where the models disagree

The models disagree most about PlanetScale. Its per-model count runs from 1 of 5 to 5 of 5, the widest range of the seven products here.

Anthropic’s models carry PlanetScale. Claude Opus 5 and Claude Fable 5 name it in every answer, and the family names PlanetScale (93.3% of its 15 answers). The Google and Perplexity families each name PlanetScale (70% of their 10 answers). The OpenAI models barely mention it: GPT-5.6 Sol and GPT-5.6 Luna in 1 of 5 each, ChatGPT in 2 of 5.

The leader isn’t unanimous either. ChatGPT’s most-named product is AWS RDS, and the other nine models lead with Supabase. At family level, the OpenAI models lead with AWS RDS and the other three families lead with Supabase.

Turso draws most of its mentions from the Perplexity pair and Gemini 3.5 Flash. Firebase draws its from Claude and Gemini 3.5 Flash, and three models never name it. The practical reading for a buyer is simple. An OpenAI model is unlikely to put PlanetScale in front of you at all. An Anthropic model almost always will.

How the sample was built

10 models x 5 fixed prompts = 50 recorded answers. Each model answered each prompt once, and every answer was recorded on 2026-09-02 for the 2026-09 edition. The method page sets out how names are counted.

The five questions, verbatim:

1. What is the best managed database for a startup? Name specific products.
2. Which managed database would you recommend to a startup in 2026?
3. Compare the top managed database options right now.
4. I’m a startup and I need a managed database. What should I use and why?
5. Best managed database for a Postgres-based SaaS?

The ten models fall into four families. OpenAI has GPT-5.6 Sol, ChatGPT and GPT-5.6 Luna, for 15 answers. Anthropic has Claude Opus 5, Claude and Claude Fable 5, for 15 answers. Google has Gemini and Gemini 3.5 Flash, for 10 answers. Perplexity has Perplexity and Sonar Reasoning Pro, for 10 answers. The column labelled ChatGPT is GPT-5.6 Terra, Claude is Claude Sonnet 5, Gemini is Gemini 3.6 Flash, and Perplexity is Sonar Pro.

The panel tracks 18 vendors in this category. The models named 17 of them. Convex was never named.

How this sits against the PlanetScale alternatives guides

The pages that rank for this query pick products for a buyer. The panel counts which products AI answers actually name. Four of the ranking pages were captured in full.

Northflank.

Northflank’s page is vendor-written and calls Northflank “a production alternative to PlanetScale”.

It says PlanetScale was discontinuing its free tier and that the smallest paid plan is $39 per month.

Northflank’s site is also the host the recorded answers cite most, with 96 citations. Northflank itself is named in only 7 of 50 answers (Northflank 14%).

PlanetScale’s homepage.

The subject’s own homepage lists PlanetScale Postgres from $5 per month.

It claims PlanetScale is less expensive than RDS MySQL and Aurora for most of the workloads customers have migrated to Metal.

Both are the vendor’s claims about its own product.

DB Pro.

DB Pro ranks Neon, Supabase, TiDB Serverless, Railway, Turso and CockroachDB, then lists self-hosted options including AWS RDS.

DB Pro’s pick for teams that must stay on MySQL is TiDB Serverless.

TiDB is not among the 18 vendors the panel tracks, so it has no count here.

LogRocket.

LogRocket’s post, dated 5 April 2024, covers 11 PlanetScale alternatives with free tiers.

Its entries are Supabase, Xata, Cloudflare, Render, CockroachDB, Neon, Tembo, Convex, SingleStore, Astro DB and Appwrite.

Convex is the one tracked vendor in this category that no model named.

Those guides choose products for purchase. The panel adds what they don’t have: how often ten models name each product, how often each comes first, and which model families carry which product. MongoDB and Firebase have no entry of their own in either independent list, yet the models name both next to PlanetScale in startup-database answers.

What these counts cannot tell you

A count of names says nothing about product quality, uptime, support, pricing fairness or fit with your stack. Being named isn’t the same as being recommended, and an answer can name a product only to warn against it. Each model answered each prompt once, so one run can move a small count. This is one dated snapshot. Product names are matched as strings, so a model that describes a product without naming it isn’t counted. API answers can differ from what a person sees in a consumer chat app. The prompts are in English, and one of the five asks specifically about Postgres, which may favour Postgres services. Vendors cannot pay to appear, be reordered or be removed.

Frequently asked questions

Is PlanetScale not free anymore?

PlanetScale announced on 6 March 2024 that it would remove its Hobby plan, the free tier. LogRocket reported the plan would be deprecated on 8 April 2024.

PlanetScale’s homepage now lists PlanetScale Postgres from $5 per month.

The panel doesn’t measure price, so these counts can’t show whether the change moved PlanetScale’s presence in AI answers.

Which is better, Neon or PlanetScale?

The panel measures presence in AI answers, not quality, and on presence Neon is well ahead. It’s named in 45 of 50 answers against PlanetScale’s 32, and named first 11 times against none. The models name both for branching. They name Neon for serverless Postgres and scale to zero, and PlanetScale for MySQL, Vitess and schema changes without downtime.

DB Pro’s summary table picks Neon as the closest match to PlanetScale on “branching + serverless”.

Is PlanetScale cheaper than AWS?

These counts can’t answer that, because the panel counts names, not prices.

PlanetScale’s homepage claims its product is less expensive than RDS MySQL and Aurora for most workloads customers have migrated to Metal. The same page lists PlanetScale Metal from $50 per month.

DB Pro puts AWS RDS at about $15 a month minimum after a 12-month free tier.

The first is the vendor’s own claim, and the two figures don’t describe matched instance sizes.

What are the top 3 relational databases?

This panel doesn’t rank database engines. In the startup-database category, the three products the models name most are Supabase, AWS RDS and Neon.

DB Pro lists Neon and Supabase as PostgreSQL services.

Which PlanetScale alternative keeps you on MySQL?

Of the six alternatives covered here, AWS RDS is the one that keeps you on MySQL.

DB Pro lists AWS RDS among self-hosted routes to “full MySQL with no compromises”.

Does being named in an AI answer mean the model recommends it?

No. An answer can name a product to warn against it or to route a narrow case to it. MongoDB shows this. Claude Opus 5 named it and then said many teams later wish they’d chosen Postgres with JSONB. Named first is a closer signal of a default pick, but it’s still a count of order, not of preference.