Serverless analytics on Postgres with sub-second response times and automatic autoscaling.
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Reviews onG2
2 reviews trackedThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Open source OAuth2
Biggest con
Complex setup
TL;DR - Hydra
- Serverless analytics built on Postgres, leveraging DuckDB for performance.
- Offers sub-second response times, autoscaling, and columnar storage for large datasets.
- Simplifies analytics by integrating directly with existing Postgres stacks, eliminating separate analytical databases.
Pricing: Free plan available
Best for: Growing teams
What is Hydra?
Hydra provides serverless analytics capabilities directly on top of PostgreSQL, leveraging the power of DuckDB for analytical query processing. It's designed for businesses and developers who need to perform fast, real-time analytics on large datasets without the complexity of managing separate analytical databases or infrastructure.
The platform offers predictable, sub-second response times at any scale, featuring automatic caching, compute autoscaling, and bottomless columnar storage. It integrates seamlessly with existing Postgres-based stacks, supporting various programming languages like Node.js, Ruby, Java, PHP, Python, Go, Scala, and Clojure. Hydra aims to simplify the analytics workflow by allowing users to handle both transactional and analytical workloads within a single database.
Key benefits include ease of deployment, enhanced query performance, and the ability to build BI reporting and analytics directly within the application's database. It's particularly beneficial for startups and companies looking to boost and scale analytical query performance on Postgres without extensive performance tuning or data synchronization to separate systems.
Pros & Cons
Pros
- Open source OAuth2
- Good security
- Self-hostable
- Cloud native
- Active development
Cons
- Complex setup
- Learning curve
- Documentation gaps
- Enterprise features paid
- Operational overhead
Ratings Across the Web
2.3(2 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
Postgres columnarAnalytics optimizationOLAP queriesParallel processingPostgres compatibleOpen source
Pricing Plans
14-day Free TrialPricing checked Jul 7, 2026
Open Source
Free
- Self-hosted
- Full Postgres compatibility
- Analytics acceleration
- Open source (Apache 2.0)
Cloud
Custom
- Fully managed
- Dedicated hardware
- 14-day free trial
- Auto-scaling
- Write isolation
Reviews
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Hydra FAQ
How does Hydra enable real-time analytics on PostgreSQL?
Hydra provides serverless analytics directly on PostgreSQL by using DuckDB for analytical query processing. It offers automatic caching, compute autoscaling, and bottomless columnar storage to achieve sub-second response times on large datasets.
Which programming languages does Hydra support for integration?
Hydra integrates with existing Postgres-based stacks and supports various programming languages. These include Node.js, Ruby, Java, PHP, Python, Go, Scala, and Clojure.
What kind of user benefits most from Hydra?
Hydra is particularly beneficial for startups and companies that need to boost and scale analytical query performance on Postgres. It allows them to build BI reporting and analytics directly within their application's database without extensive performance tuning or data synchronization.
How does Hydra compare to TimescaleDB for analytical workloads?
Hydra focuses on providing serverless analytics directly on PostgreSQL by leveraging DuckDB for query processing, aiming for sub-second response times and automatic autoscaling. TimescaleDB, while also extending PostgreSQL for time-series data, has a different approach to handling analytical workloads.
What are the main trade-offs when implementing Hydra?
Implementing Hydra involves a complex setup and a learning curve for users. There are also potential documentation gaps and operational overhead to consider, with some enterprise features requiring paid plans.
Does Hydra include a free tier?
Yes, Hydra is available on a free tier. Paid plans are offered for users requiring more usage and additional features.
Can Hydra handle both transactional and analytical workloads?
Yes, Hydra is designed to simplify the analytics workflow by allowing users to handle both transactional and analytical workloads within a single database. This eliminates the need for managing separate analytical databases or infrastructure.
Source: hydra.so