Crunchy Data

Name: Crunchy Data
Brand: Crunchy Data

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Postgres solutions for cloud, Kubernetes, or enterprise environments.

Paid plans only

Paid Cloud & Infrastructure Data & Databases DevOps

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Tracked since 2026

The Bottom Line

Updated Oct 1, 2026

Price: Paid plans only. Compare plans

Key facts

Offers production-ready PostgreSQL for various deployment environments.
Provides a fully managed cloud Postgres option with superior developer experience.
Introduces a Postgres-native data warehouse for high-performance analytics and OLAP workloads.

Pros

Offers flexible deployment options (bare metal, VMs, Kubernetes, cloud)
Leverages unmodified PostgreSQL, ensuring compatibility and full ecosystem access
Crunchy Data Warehouse provides high-performance analytics without leaving Postgres
Reduces data storage costs with columnar storage and compression
Focuses on developer experience with fully managed cloud options

Cons

Pricing details are not transparently listed on the website
Requires contacting sales for specific product pricing

What is Crunchy Data?

Crunchy Data provides a comprehensive suite of PostgreSQL solutions designed for various deployment needs, from bare metal to fully managed cloud services. It caters to organizations of all sizes, offering production-ready PostgreSQL with essential features like backups, disaster recovery, high availability, and monitoring. The platform aims to simplify database management and enhance developer experience by providing robust, scalable, and secure Postgres environments. Crunchy Data also offers Crunchy Data Warehouse, a next-generation Postgres-native data warehouse. This solution extends PostgreSQL for analytical workloads, featuring a vectorized query engine, parallel processing, and full Iceberg support. It allows users to perform high-performance analytics and transactional processing within a single Postgres environment, leveraging existing Postgres knowledge and tools while reducing data storage costs and complexity. It's suitable for use cases like monitoring, IoT, web analytics, and time series data.

Available on: Web

Data compiled by Toolradar Pricing checked Oct 1, 2026 · How we evaluate

Source crunchydata.com

Preview

Key Features

Production-ready PostgreSQL
Backups and disaster recovery
High availability
Monitoring and automation
Cloud-native Postgres on Kubernetes (PGO)
Fully managed cloud Postgres (Crunchy Bridge) on AWS, Azure, GCP
Postgres-native data warehouse (Crunchy Data Warehouse)
Vectorized query engine and parallel processing for analytics

Pricing Plans

Pricing checked Oct 1, 2026. Source: crunchydata.com, read Oct 1, 2026

Crunchy Data plans and prices, checked October 2026
Plan	Price	Details
Crunchy Postgres	Contact Sales	Backups Disaster recovery High availability +3 more Show less Monitoring Automation Self managed
Crunchy Postgres for Kubernetes	Contact Sales	Simple provisioning Backups and DR included High availability +3 more Show less Seamless upgrades Scale from 1 to thousands of databases Self managed
Crunchy Bridge	Pay for what you use	Cloud agnostic (AWS, Azure, GCP) Continuous protection Backups included +2 more Show less Point in time recovery built-in The developer experience you want

View full pricing

Is Crunchy Data worth the price?

Fair value

However, the lack of transparent pricing suggests it's likely tailored for enterprise clients with custom needs, potentially making it expensive for smaller businesses or those seeking predictable costs.

It's best for organizations requiring robust, managed Postgres solutions with enterprise-grade features and support.

Full Crunchy Data pricing: every plan, hidden costs and alternatives

Crunchy Data by the numbers

Crunchy Data compared with 447 DevOps tools on Toolradar, as of Oct 2026
Metric	Crunchy Data	Peer median	Position (1 is best)
Free plan	No	77% have one	n/a
Listed as an alternative to	3 tools	2	#174 of 447 (joint)

Each position is counted among the tools that have data for that row, as noted under it. All DevOps data · How we compute this. Advertising and placement fees are not inputs to any position.

Cite this: Toolradar, “Crunchy Data by the numbers”, Oct 2026.

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Crunchy Data FAQ

How does Crunchy Data support analytical workloads alongside transactional processing?

Crunchy Data offers Crunchy Data Warehouse, a Postgres-native data warehouse designed for analytical workloads. This solution provides a vectorized query engine, parallel processing, and full Iceberg support, allowing users to perform high-performance analytics within their existing Postgres environment.

Which teams would benefit most from using Crunchy Data?

Teams focused on Data & Databases, Cloud & Infrastructure, and DevOps would find Crunchy Data particularly beneficial. It provides robust, scalable, and secure Postgres environments that simplify database management and enhance developer experience across various deployment needs.

How does Crunchy Data compare to Azure for PostgreSQL solutions?

Crunchy Data focuses on providing flexible deployment options for unmodified PostgreSQL, including bare metal, VMs, Kubernetes, and cloud environments. Unlike Azure, it emphasizes a Postgres-native data warehouse solution that integrates analytical and transactional processing within a single Postgres ecosystem.

What kind of limitations should users be aware of regarding Crunchy Data's pricing?

Crunchy Data does not publicly list its pricing details on its website. Prospective users need to contact sales directly to obtain specific product pricing information.

Can Crunchy Data help reduce data storage costs?

Yes, Crunchy Data Warehouse is designed to reduce data storage costs. It achieves this through features like columnar storage and compression, which are integral to its next-generation Postgres-native data warehouse solution.

How is Crunchy Data priced?

Crunchy Data is a paid product and does not offer a permanently free tier. Specific pricing details are not transparently listed and require contacting their sales department.

Does Crunchy Data support various deployment environments?

Yes, Crunchy Data offers flexible deployment options, including bare metal, virtual machines, Kubernetes, and fully managed cloud services. This allows organizations to choose the environment that best suits their infrastructure needs.

Source: crunchydata.com

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