Skip to content
Toolradar
Hydra logo

Hydra

Claim this toolEditor reviewed

Serverless analytics on Postgres with sub-second response times and automatic autoscaling.

Data & DatabasesAnalyticsCloud & Infrastructure
Visit Website
Reviews onG2
2 reviews tracked

The 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?

Editorial review
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.
how we evaluateSourcehydra.so ↗

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)

Hydra holds an aggregate rating of 2.3 out of 5 from 2 reviews across G2, last checked March 18, 2026.

G22 reviews
2.3/5

Ratings aggregated from independent review platforms. Learn more

Key Features

Postgres columnarAnalytics optimizationOLAP queriesParallel processingPostgres compatibleOpen source

Pricing Plans

14-day Free Trial

Pricing checked Aug 16, 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
Calculate your costView full pricing

Is Hydra worth the price?

85/100

Hydra's pricing is generous for those comfortable with self-hosting, offering a full-featured Open Source tier at $0.

The Cloud tier, while custom, suggests a premium for fully managed services and dedicated hardware. This structure is best for both startups leveraging open-source and enterprises needing robust, managed solutions.

Hidden Costs & Gotchas

Cloud tier custom pricing can vary widely

Self-hosting incurs infrastructure costs

No public pricing for Cloud tier features

How Hydra Compares to Competitors

Compared to solutions like TimescaleDB Cloud, which offers usage-based pricing starting around $25/month for basic instances, Hydra's $0 open-source option is highly competitive for self-hosters. For managed services, without specific pricing, it's hard to directly compare to the transparent, albeit variable, costs of competitors like Snowflake or BigQuery, which often have complex consumption models.

Reviews

Improve Your Thinking Patterns Using ChatGPT cover
$99Free with your review

Review Hydra, get a free AI guide

Share your experience and we will send you Improve Your Thinking Patterns Using ChatGPT, free.

Write a review

Best Hydra Alternatives

Top alternatives based on features, pricing, and user needs.

TimescaleDB logo
TimescaleDBFreemium

Time series database on PostgreSQL

4.6
ClickHouse logo
ClickHousePaid

Fast open-source analytics database

4.4
CrateDB logo
CrateDBFreemium

Real-time analytics database for instant insights from any data, at any scale, with SQL.

4.4
DuckDB logo
DuckDBFree

Fast in-process SQL analytics without database servers

See all data & databases tools →

Still deciding?

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

Hydra vs TimescaleDBHead-to-head: features, pricing, who winsHydra vs ClickHouseHead-to-head: features, pricing, who winsHydra vs CrateDBHead-to-head: features, pricing, who wins

Explore More

Best Data & Databases ToolsBest Analytics ToolsBest Cloud & Infrastructure ToolsBest Free Data & DatabasesBest Free AnalyticsBest Free Cloud & Infrastructure

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

Guides & Articles

Best Synthetic Data Tools 2026

Expert guide

Best AI Data Analyst Tools 2026

Expert guide

Best A/B Testing Tools in 2026

Expert guide