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Enterprise Layer Intelligence
Categories/Data Platform & Integration/PlanetScale
PlanetScale

PlanetScale

Founded by Jiten Vaidya & Tanner Ingle in 2018

Host, scale, and manage relational databases with branching and automated failover

Pricing model

Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use PlanetScale to host and manage high-performance MySQL and Postgres databases in the cloud. It allows you to horizontally shard your database across multiple nodes using Vitess or Neki to handle millions of queries without downtime. You can create isolated database branches for development, test schema updates safely, and deploy migrations online without locking tables. PlanetScale also provides built-in connection pooling, automated backups, multi-zone high availability failover, and hardware options running on fast NVMe drives to sustain intensive data workloads.

What PlanetScale does

Create database branches for development and testing environmentsDeploy schema migrations safely with zero application downtimeSet query traffic limits to prevent database overloadsScale database read capacity by adding replica nodesConfigure automatic failover across multiple availability zonesMonitor query latencies and database performance benchmarksHorizontally shard MySQL and Postgres databases across multiple nodesBranch databases to safely test and deploy schema changes without downtimeRevert schema changes instantly without losing application dataAutomated failover across three availability zonesBuilt-in connection pooling using PgBouncerDedicated NVMe storage drives for high IOPS performanceTraffic control rules to prevent runaway queries from overwhelming databases

Pricing breakdown

Pricing model: Paid

PlanList price
Base$5 / mo

Tutorials & Demos

Frequently asked

AWSAWSGoogle CloudGoogle CloudMicrosoft AzureMicrosoft Azure

Used by

Manuel Parra

Manuel Parra

Software Engineer @ Stack

In their stack

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PlanetScale, Database Management, Postgres, Vitess, MySQL, Neki, database sharding, cloud database, database branching, connection pooling, high availability, NVMe, schema migrations, automated failover, relational database