Related Products
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About
An automated, accessible, scalable, and API-first satellite imagery platform from Planet. Planet Platform is an entirely automated, cloud-based imagery and analytics platform that provides access to the comprehensive, daily dataset captured by the PlanetScope and SkySat constellations. 8 bands, and 3.7 m spatial resolution, captured by Planet’s Dove constellation. RGB, NIR, and pan bands, 0.5 spatial resolution. Built for scale, speed, and flexibility, the cloud-based platform provides efficient access to Planet’s satellite data, enabling customers to run analytics and build solutions at scale. Understand change with an unprecedented dataset of every location on Earth. Model data to understand trends, predict change, and discover your competitive edge. Work with Planet data in the applications and workflows of your choice. Daily imagery enables strategic, timely decision-making across industries.
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About
PlanetScale brings you the fastest databases available in the cloud. Both our Postgres and Vitess databases deliver exceptional speed and reliability, with Vitess adding ultra scalability through horizontal sharding.
Our blazing fast NVMe drives unlock unlimited IOPS, bringing data center performance to the cloud. We offer a range of deployment options to cover all of your security and compliance requirements — including bring your own cloud with PlanetScale Managed.
In addition to Vitess and Postgres, PlanetScale offers Neki — sharded Postgres by the team behind Vitess — and Metal, the fastest way to run databases in AWS or GCP.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Organizations requiring an API-first satellite imagery platform to sccess and integrate satellite imagery
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Audience
PlanetScale is designed for engineers seeking a Vitess- or Postgres-compatible database platform that offers near-infinite scalability and enhances developer productivity through a streamlined workflow.
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
$5 per month
Starts at $5/month
(PlanetScale Metal starts at $50/month)
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Company InformationPlanet Platform
United States
www.planet.com/products/platform/
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Company InformationPlanetScale
United States
planetscale.com
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Alternatives |
Alternatives |
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Categories |
Categories |
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Database Features
Backup and Recovery
Supported
Creation / Development
Supported
Data Migration
Not Supported
Data Replication
Supported
Data Search
Not Supported
Data Security
Supported
Database Conversion
Not Supported
Mobile Access
Not Supported
Monitoring
Supported
NOSQL
Not Supported
Performance Analysis
Supported
Queries
Supported
Relational Interface
Supported
Virtualization
Not Supported
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Integrations
Airbyte
Not Supported
Amazon Web Services (AWS)
Not Supported
Athenic AI
Not Supported
Authorizer
Not Supported
Cloudflare
Not Supported
Datadog
Not Supported
Django
Not Supported
Draxlr
Not Supported
Go
Not Supported
Google Cloud Platform
Not Supported
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Integrations
Airbyte
Supported
Amazon Web Services (AWS)
Supported
Athenic AI
Supported
Authorizer
Supported
Cloudflare
Supported
Datadog
Supported
Django
Supported
Draxlr
Supported
Go
Supported
Google Cloud Platform
Supported
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