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PS Value Prop by Mind Map: PS Value Prop

1. Database Protection

1.1. Thundering herd Protection / Query dedup

1.2. Hot row protection / Query sorting

1.3. Automated Result set/rows limitation (memory/CPU protection)

1.4. Unreasonable query guardrails

2. Scalability

2.1. Connection pooling

2.2. (Pod Autoscaling/Sizing)

2.3. Automated replica setup

2.4. (Sharding)

2.4.1. Sharding for data size

2.4.2. Sharding for read requests

2.4.3. Sharding for write requests

2.4.4. Sharding for GDPR (geo sharding)

3. Developer Productivity

3.1. CLI

3.2. Deploy Requests - non-blocking schema updates

3.3. Web query console

3.4. Query performance view

3.5. Team/access right management

3.6. API

3.7. Database branching

3.8. Web based dashboards

3.9. Automated replica setup for reporting and data science use cases

3.10. (Materialized views)

3.11. (Data branching)

4. Expertise

4.1. Former DB SREs/SRE managers from

4.1.1. Google

4.1.2. GitHub

4.1.3. Booking

4.1.4. Twitter

4.1.5. Flipkart

4.1.6. Youtube

4.1.7. Percona

4.2. Core maintainers, contributors and inventors of key DB and DevOps technology

4.2.1. Vitess

4.2.2. orchestrator

4.2.3. pt-* tools

4.2.4. ghost

4.2.5. GitHub Actions

4.2.6. Kubernetes Orchestrator

4.3. Active support for the largest Vitess setups on the planet

4.3.1. Slack

4.3.2. GitHub

4.3.3. Twitter

4.3.4. Roblox

5. Security

5.1. Complete isolation of data bases

5.2. SOC II

5.3. RBAC on branch level

5.4. separate SSL certs for every DB

5.5. GitHub Token Scanning partner

5.6. no manual passwords - only generated, unique access tokens per DB branch

5.7. only encrypted access (TLS)

5.8. no access tokens / password plain text storage anywhere

5.9. BugBounty program

6. High Availability

6.1. Automated failover

6.2. Automated backups

6.3. Automated disaster recovery

6.4. Non blocking schema updates

6.5. Protection from problematic queries

6.6. (Zero downtime external DB imports / cutover)

6.7. Zero downtime DB version upgrades

7. Innovation

7.1. Only DB natively designed for Kubernetes

7.2. Inventors of DB branching

7.3. Inventors of ghost and orchestrate

7.4. Inventors of VReplication

7.5. Easy to understand, usage based pricing

8. MySQL-Compatibility / ACID guarantees

8.1. Protection of existing investments

8.2. Transactions

8.3. Atomicity

8.4. Consistency

8.5. Isolation

8.6. Durability

8.7. Mature technology, used in every larger enterprise

8.8. Full SQL support, including joins

9. Reliability / Maturity

9.1. MySQL used in production for more than 25 years

9.2. Vitess used in production for more than 10 years

9.3. PlanetScale is using PlanetScale to develop PlanetScale

9.4. Automated CI/Performance regression tests for Vitess

10. Popularity / Community Experience

10.1. Slack

10.2. Square

10.3. Shopify

10.4. Hubspot

10.5. GitHub

10.6. Twitter

10.7. ...

11. PaaS/SaaS/Serverless

11.1. we carry the pager

11.2. you pay by what you use, we determine the necessary infrastructure to optimally serve your requests

11.3. Web based dashboards

11.4. (Data Dog export)