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Neki

Neki is sharded Postgres by the team behind Vitess. We're building the next generation of database sharding technology, architected from first principles to bring Vitess-level scale and reliability to PostgreSQL workloads.

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Why we're building Neki

Proven expertise at scale

  • Built by the team that created and maintains Vitess
  • Operating thousands of production workloads at extreme scale
  • Deep experience managing sharded clusters for the world's largest companies

Built from first principles

  • Architected specifically for Postgres, not a fork of Vitess
  • Leverages PostgreSQL's unique strengths
  • Engineered around Postgres-specific challenges

Operational knowledge baked in

  • Designed by engineers who actually operate sharded clusters
  • Every decision informed by real-world production experience
  • Built to eliminate operational complexity

Open source foundation

  • Will be released as an open source project
  • Suitable for the most demanding Postgres workloads
  • Built alongside design partners for real-world use cases

What is Neki?

Vitess transformed MySQL sharding from an operational nightmare into an accessible, proven technology. It powers some of the largest sites on the Internet: Slack, GitHub, Square, and hundreds more by making it possible to scale MySQL horizontally across thousands of servers.

Neki brings this same power to PostgreSQL.

But Neki is not a fork of Vitess. Vitess succeeds by leveraging MySQL's strengths and engineering around its weaknesses. Postgres is a fundamentally different database with its own architecture, replication model, and operational characteristics. To achieve Vitess-level capabilities for Postgres, we're building from scratch—applying everything we've learned from years of operating sharded databases at massive scale.

Built by operators, for operators

The PlanetScale team runs some of the world's largest sharded Vitess clusters. We manage thousands of production workloads and have deep expertise in what it takes to keep distributed databases running reliably at scale.

Neki is being built with this operational knowledge at its core. Every architectural decision is informed by real-world production experience:

We're not just building a product. We're building the tool we wish we had when we started scaling Postgres.

The path forward

Neki is currently in active development. We're working closely with design partners who operate Postgres at significant scale to ensure Neki meets the needs of the most demanding production environments.

When Neki is ready and tested in real production workloads, we'll release it as an open source project. Our goal is to make sharded Postgres accessible to everyone, backed by PlanetScale's expertise and support.

Until then, we recommend starting on our Postgres product. You'll be the first in line to get access to Neki when it is available in private preview, and migrating to Neki will be easiest if you're already running on PlanetScale Postgres.

Our Metal nodes can support extremely high throughput and provide incredible performance that you don't get with network-attached storage solutions. We have NVMe drives that can hold up to 120 TB.

Join us

We're building Neki in close collaboration with companies running Postgres at scale. If your organization faces PostgreSQL scaling challenges and you're interested in being part of Neki's development, we'd love to hear from you.

Stay updated: Sign up at neki.dev to receive updates on Neki's progress

Questions? Contact us at neki@planetscale.com


About Vitess

Learn about Vitess, the proven MySQL sharding technology that Neki builds upon conceptually for PostgreSQL.

Explore Vitess

PlanetScale for Postgres

Already running Postgres and need high availability and performance? Check out our managed PostgreSQL offering.

Learn about Postgres

Read the announcement

Read the full story behind Neki and why we're building Vitess-level capabilities for PostgreSQL.

Read the announcement

Database sharding explained

New to sharding? Learn about horizontal scaling and why it's critical for the largest databases.

Learn about sharding