PlanetScale
PlanetScale: managed Vitess and Neki for horizontal sharding plus Postgres with NVMe speed
Worth it once vertical scaling is genuinely exhausted — not before. The branch-plus-deploy-request workflow and Metal's local NVMe fix the two things most managed databases still leave to you: reversible schema changes and latency under real load. On a small app, a plain $5/month Postgres elsewhere will do the job with far less operational surface.
Verified 22h ago · liveness 82/100 · cite: rightaichoice.com/tools/planetscale
- High-traffic Postgres or MySQL workloads that need horizontal sharding
- Teams that ship schema changes often and want reversible, branch-tested merges
- Companies migrating off Aurora or RDS for lower tail latency on NVMe
- Enterprises needing single-tenant or bring-your-own-cloud AWS/GCP deployment
- Small apps with no scaling pressure — managed Postgres elsewhere costs less
- Teams without anyone who thinks about shard keys and replication topology
- Workloads depending on Postgres extensions PlanetScale doesn't support
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Skip PlanetScale if your database is comfortably under a few gigabytes and a flat-fee managed Postgres with no sharding concepts will do — you would be paying resource-based rates for scale you have not reached.
Pricing is resource-based across compute, shards, replicas, storage, and provisioned IOPS, so scaling a topology up mid-month raises the bill immediately rather than at renewal.
A solo or small app fits the $5/month Postgres single-node plan or the free tier; teams needing uptime guarantees move to the $15/month HA cluster with failover across three AZs. The $50/month Metal tier and custom Vitess/Neki pricing put PlanetScale materially above flat-fee managed Postgres options like Neon or Supabase, and resource-based billing means the gap widens with shard count, replicas, and egress. It lands cheaper than self-managing sharded MySQL at scale, which is the comparison it
In short
PlanetScale — PlanetScale: managed Vitess and Neki for horizontal sharding plus Postgres with NVMe speed. Best for High-traffic Postgres or MySQL workloads that need horizontal sharding, Teams that ship schema changes often and want reversible, branch-tested merges, Companies migrating off Aurora or RDS for lower tail latency on NVMe. Plans from $5/mo.
What's new in PlanetScale
Checked yesterdayAcross the latest 10 updates: 8 feature updates, 1 launch and 1 changelog entry.
Huge pages for Postgres and Neki
Huge pages can now be enabled on Postgres and Neki databases on supported cluster sizes, cutting shared-memory management overhead.
Terraform provider v1.13.0 adds Neki router parameter management
Terraform provider v1.13.0 lets teams configure Neki router settings in Terraform and read them via the router data source.
CLI v0.346.0 flags Postgres and Neki parameters needing updates
PlanetScale CLI v0.346.0 adds a Requires update column for Postgres branch parameters and Neki configuration profiles, admins and sidecars.
PlanetScale is now available on Azure
Microsoft Azure added as a cloud provider for Postgres and Neki databases, alongside existing AWS and Google Cloud regions. Vitess is not available on Azure.
Vitess aggressive cutover for a single deploy request
Deploy requests can now opt into aggressive cutover individually via the CLI and API, instead of org-wide.
Vitess deploy requests can retry partially failed migrations
Failed tables in a Vitess deploy request can now be retried individually rather than restarting the entire deploy.
MCP server adds branch metrics
planetscale_get_branch_metrics returns CPU, memory, disk, replication lag and connections to MCP clients inside the editor.
Org admins can limit MCP query access
MCP query access can be set organization-wide to no access, read-only, or read and write, capping what members can grant to MCP clients.
Postgres dedicated read replicas
PlanetScale Postgres supports independently configurable dedicated read replicas for isolating read-only workloads.
Vitess keyspace parameters editable from the CLI
pscale keyspace parameters lets users view and change VTTablet and MySQL parameters of a Vitess keyspace from the terminal.
What people actually say about PlanetScale — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
86 mentions across 5 sources (Hacker News, YouTube, Product Hunt, Bluesky, Lemmy) · researched Jul 26, 2026.
Average across the 5 sources that answered — each source counts once, not each post.
- +Blazing NVMe drives with unlimited IOPS for high-performance workloads.
- +Vitess horizontal sharding scales writes seamlessly for massive databases.
- +Branch-per-environment enables safe, revertable schema changes.
- +Automated failover across three availability zones for high availability.
- +Low starting price ($5/month) for single-node Postgres databases.
- −Vendor lock-in makes migration away from Vitess difficult.
- −DeWitt clause historically discouraged independent benchmarking.
- −Postgres feature set still lags behind MySQL/Vitess sharding.
- −Complexity of sharding and VSchema management can be overwhelming.
- −Some users find NVMe performance a natural improvement, not invention.
- • Data egress fees may apply beyond included limits
- • Sharding and advanced features require higher tiers or custom plans
Viability Score
How well maintained and how widely used is PlanetScale? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Fully managed PostgreSQL clusters on AWS, GCP, and Azure
- Vitess for MySQL-compatible horizontal sharding via a single VTGate connection
- Neki for Postgres horizontal sharding
- PlanetScale Metal on locally-attached NVMe with unlimited IOPS
- High availability: 1 primary + 2 replicas across 3 availability zones
- Automated failover with buffered failovers to reduce connection impact
- Branch-per-environment, each branch on a dedicated cluster prorated per millisecond
- Deploy requests for schema changes with revert and zero data loss
- Online schema changes, resizing, resharding, and version updates
- PgBouncer connection pooling on port 6432
- Database Traffic Control query budgets
- Dedicated Postgres read replicas, independently configurable
- Huge pages support for Postgres and Neki on supported cluster sizes
- MCP query access and branch metrics with org-level none / read-only / read-write controls
- pscale CLI for orgs, branches, backups, keyspace parameters, and metrics
About PlanetScale
PlanetScale runs managed database clusters built for teams whose workload has outgrown a single node. Three engines cover the spread: Vitess for MySQL-compatible horizontal sharding through a single VTGate connection, Neki for the same sharding approach on Postgres, and ordinary PlanetScale Postgres for single-node and high-availability workloads. Vitess was developed at YouTube by PlanetScale's founders and now underpins databases at Slack, GitHub, HubSpot, and Block.
Behind the Verdict
We'd reach for PlanetScale the moment a database starts dictating product decisions — when the team is arguing about shard keys, or when a schema migration needs a maintenance window. That's the inflection point where branch-per-environment and revertable deploy requests stop being nice extras and start being the reason you picked the platform. The sharding story is the real differentiator. Vitess has years of production mileage behind it at companies running petabytes, and Neki brings that same explicit-sharding model to Postgres. If you're on MySQL and outgrowing a node, Vitess is a known quantity. If you're on Postgres, Neki is newer, so we'd want a serious proof-of-concept before committing a Tier 0 workload to it. PlanetScale Metal is the one to benchmark. Locally-attached NVMe with unlimited IOPS is where the tail-latency claims against Aurora and Cloud SQL come from, and the vendor says Metal beats RDS MySQL and Aurora on cost for roughly 85% of migrated workloads. Test that number against your own query mix rather than trusting the headline. When to pass: small apps with no scaling pressure, teams without anyone who owns replication topology, or workloads leaning on Postgres extensions PlanetScale doesn't support. Budget owners who need a flat monthly number will also find resource-based pricing uncomfortable. Compare it against Aurora or Cloud SQL if you want managed databases with less operational weight, and against self-managed Vitess if you have the staff. PlanetScale sits between those: more scale than a single managed node, less work than running sharding yourself. Watch out for the learning curve — shard-key design is on you, and getting it wrong is expensive to undo.
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Real-world workflow fit
Concrete scenarios for the personas PlanetScale actually fits — and what changes day-one when you adopt it.
Read latency on Amazon Aurora is the bottleneck for the customer dashboard. They create a Postgres branch, run the analytics-heavy queries against it, then size a Metal cluster and cut over with PgBouncer in front on port 6432.
Outcome: p50/p95/p99 latency drops on NVMe-backed storage, and the same workflow stays available for the next schema change.
They need to split a growing table across keyspaces. Using pscale branch vtctld move-tables they copy tables between keyspaces, watch copy and traffic state, then switch replica then primary traffic and complete the workflow.
Outcome: The reshard happens without downtime, and per-shard VTTablet sizing lets them tune the hot shards independently.
They deploy PlanetScale Managed into their own AWS account so data stays inside their cloud, and use the shared Slack channel plus bi-weekly meetings with PlanetScale's database team for architecture review.
Outcome: They keep control of the cloud account and PCI DSS certified infrastructure while still getting branching, deploy requests, and query monitoring.
Use Cases
- Run a high-traffic SaaS or e-commerce backend that has outgrown a single primary node
- Migrate from Amazon Aurora or RDS to cut p50/p95/p99 latency on NVMe-backed storage
- Test schema changes on an isolated branch cluster and merge through a revertable deploy request
- Set query budgets with Database Traffic Control to stop runaway queries from taking production down
- Scale Postgres read capacity with replicas and PgBouncer pooling on port 6432
- Manage branch, backup, and service-token lifecycle from the pscale CLI in CI
- Debug query performance with Insights or through the MCP server from an AI assistant
- Run bring-your-own-cloud deployments via PlanetScale Managed for PCI DSS or data-residency requirements
Models Under the Hood
as of 2026-10-16
Limitations
- PlanetScale describes itself as an OLTP database and is not always the right fit for every workload.
- Pricing is resource-based, scaling with cluster size, shard count, replica count, storage, and plan tier, with published entry points from $5/month for single-node Postgres and $50/month for Metal, while Enterprise options require contacting sales.
- Neki is presented in the evidence as newly available, whereas Vitess has been long-standing and widely deployed.
- Vitess databases were not available on Azure as of the evidence, and additional regions require AWS/GCP regions with at least 3 availability zones.
as of 2026-09-29
Verification history
We have re-verified PlanetScale 20 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 20 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published PlanetScale tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
PlanetScale Postgres Single Node
From $5/mo
PlanetScale Metal
From $50/mo
Postgres High Availability
Resource-based
Vitess
Resource-based (custom quote)
Ideal for
MySQL-compatible applications that have outgrown a single primary and need horizontal sharding across many nodes.
What this tier adds
Adds MySQL-compatible horizontal sharding with VTGate routing, priced by cluster size, VTGate configuration, and storage; Metal available.
Neki
Resource-based (custom quote)
Enterprise
Custom
Ideal for
Enterprises with compliance, residency, or single-tenant requirements that need their data in their own cloud account.
What this tier adds
Adds PlanetScale Managed bring-your-own-cloud in your AWS or GCP account, single-tenant deployment, additional regions, PCI DSS certified environments, and Business or Enterprise support.
Where the pricing makes sense
The company stage and team size where PlanetScale's pricing actually pencils out — and where peers do it cheaper.
A solo or small app fits the $5/month Postgres single-node plan or the free tier; teams needing uptime guarantees move to the $15/month HA cluster with failover across three AZs. The $50/month Metal tier and custom Vitess/Neki pricing put PlanetScale materially above flat-fee managed Postgres options like Neon or Supabase, and resource-based billing means the gap widens with shard count, replicas, and egress. It lands cheaper than self-managing sharded MySQL at scale, which is the comparison it
Setup time & first value
How long it actually takes to get something useful out of PlanetScale — broken out by persona, not the marketing-page minute.
Single-node Postgres to first query: minutes, since the Base plan needs no contract or sales interaction. A production HA cluster with PgBouncer pooling and an app cutover: a day or two for a team already on managed Postgres. Vitess or Neki sharding: weeks, and PlanetScale's own migration assistance and database experts — including the majority of the core Vitess maintainers — are part of the
Switching to or from PlanetScale
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Amazon Aurora or RDS: use the public Migration Assessment Tool to size the target, then move via logical replication into a Postgres or Vitess cluster.
- →From self-managed MySQL: attach the existing database as an external Vitess keyspace and query it through Vitess before importing data.
- →From another managed Postgres: connect with a standard Postgres client over PgBouncer on port 6432 and replicate across.
- →From a single-node Postgres you have outgrown: create an HA cluster with 1 primary and 2 replicas across three AZs and switch the connection string.
- ↗To a plain managed Postgres: dump from PgBouncer port 6432 and restore — standard pg_dump works, but you lose branching and deploy requests.
- ↗To self-hosted Vitess: PlanetScale maintains Vitess upstream and publishes its docs, so moving the same topology off the managed service is a supported path.
- ↗To a cheaper flat-fee Postgres for a small database: lift the schema with pg_dump and drop the resource-based topology.
Integrations
Resources & Guides
- Documentationplanetscale.com
Docs · PlanetScale
Full product docs from planetscale.com
- Documentationplanetscale.com
Plans · PlanetScale
Full product docs from planetscale.com
- Documentationplanetscale.com
Vitess · PlanetScale
Full product docs from planetscale.com
- Documentationplanetscale.com
Postgres · PlanetScale
Full product docs from planetscale.com
- Documentationplanetscale.com
Neki · PlanetScale
Full product docs from planetscale.com
- API Referenceplanetscale.com
Api · PlanetScale
Methods, params, types from planetscale.com
- API Referenceplanetscale.com
Cli · PlanetScale
Methods, params, types from planetscale.com
- Resourceplanetscale.com
Changelog · PlanetScale
Helpful link from planetscale.com
- Resourceplanetscale.com
Migrate · PlanetScale
Helpful link from planetscale.com
- Resourceplanetscale.com
Benchmarks · PlanetScale
Helpful link from planetscale.com
Tutorials & Learning
YouTube returned 6 videos for “PlanetScale”, and we withheld 5: 5 could not be judged, because “PlanetScale” is a single word that other videos use for other things. Showing the 1 we can prove is about PlanetScale.
Official links
Tools that pair well with PlanetScale
Common stack mates teams adopt alongside PlanetScale, with the specific reason each pairing earns its keep.
TablePlus
TablePlus is a native database GUI for MySQL, PostgreSQL and SQLite with a one-time license.
Amazon Sage Maker
Amazon SageMaker unifies data, analytics, and AI on AWS — build, train, and deploy ML models on fully managed infrastructure.
Neon
Neon is serverless Postgres with instant branching, autoscaling, and a full backend agents can provision.
Featured Head-to-Head Comparisons
Planetscale vs Spider Cloud
These aren't substitutes — PlanetScale is the database you'd run your product on, Spider Cloud is the tool that fetches outside web data for your agent or RAG pipeline. A realistic buyer might use both: PlanetScale for NVMe-backed Postgres or Vitess MySQL with branch-per-environment deploy requests, Spider Cloud for rendered pages and site crawls. If your problem is database scale, schema-change safety, or failover, PlanetScale is the pick; if your problem is getting live web content into a model, Spider Cloud is the pick. Neither replaces the other, so don't frame this as an either/or.
Planetscale vs Push Security
These are not competing products, so there's no head-to-head to pick from. Push Security is a browser-extension defense layer for security and identity teams — phishing, AiTM, ClickFix, device-code and consent phishing, malicious extensions, plus shadow-AI visibility — priced predictably at $5/user/month for teams under 500 seats. PlanetScale is infrastructure for engineers: managed Postgres and Vitess with NVMe storage, branch-per-environment schema workflows, and recent engineering work on Neki (sharded Postgres) and per-shard Vitess sizing. A budget shortlist would only include both if one org simultaneously needed phishing defense and a database platform — two separate line items, two separate owners.
Planetscale vs Screenplayiq
These are not competitors and no buyer should be choosing between them. PlanetScale is production database infrastructure — branch-per-environment Postgres/Vitess on NVMe, automated failover across three AZs, a 99.99% single-region SLA — sold as freemium to engineering teams running high-traffic workloads. ScreenplayIQ is a per-script analysis service for the film and TV industry: loglines, character emotional journey charts, comparable films, WGA-compliant script handling, priced by page length with no subscription. The only shared trait is the word 'AI.' Pick PlanetScale if you're migrating off Aurora or need reversible schema deploys; pick ScreenplayIQ if you have a draft to evaluate before a rewrite or a stack of scripts to triage.
Alternatives to PlanetScale
View all
TablePlus
TablePlus is a native database GUI for MySQL, PostgreSQL and SQLite with a one-time license.
Amazon Sage Maker
Amazon SageMaker unifies data, analytics, and AI on AWS — build, train, and deploy ML models on fully managed infrastructure.
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