Is Hydra suitable for startups or small businesses?

Yes, Hydra is ideal for startups looking for scalable analytics solutions. Its serverless architecture means you only pay for what you use, and its predictable pricing ($29/month subscription) combined with compute autoscaling makes it a cost-effective and efficient choice for growing businesses needing powerful analytics without heavy upfront investment.

What makes Hydra different from other analytics tools?

Hydra stands out due to its Postgres-native, open-source foundation, offering seamless integration for teams already using Postgres. Its serverless execution with compute autoscaling and bottomless columnar storage provides sub-second, real-time analytics performance, ensuring predictability and scalability that traditional solutions often lack.

Hydra

Serverless analytics on Postgres

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Shyft Score

Directory quality rating

Reviewed

55/100

Active

Found in 1 source

Our take

The verdict on Hydra

AI-generated

Hydra offers serverless, real-time analytics on Postgres with integration, but lacks AI agent support and has a small ecosystem.

Strengths

Real-time data processing
Seamless integration with Postgres
Customizable dashboards

Limitations

Limited to Postgres analytics
No AI agent support
Small ecosystem

Best for: Data teams using Postgres needing real-time analytics

Request a demo to evaluate Hydra for your team.

See how Hydra fits your stack

Benefits

Why teams choose Hydra

Get analytics results in under a second instead of waiting minutes or hours

Scale your analytics automatically without managing servers or infrastructure

Keep using your existing Postgres knowledge and tools without learning new systems

Pay only for what you use with predictable serverless execution costs

About

What is Hydra?

Serverless analytics engine built on Postgres for teams needing real-time insights without infrastructure overhead. Query data directly, scale automatically, and integrate with your existing tools. Built for analytics engineers and data teams.

Key capabilities

Open source, Postgres-native

Predictable, serverless execution

Compute autoscaling

Bottomless, columnar storage

Sub-second, realtime analytics

Automatic caching

At a glance

Capabilities

API

Use cases

What you can do with Hydra

Serverless BI Reporting

ORM (Drizzle) for analytics

Joining row & columnstore tables

Exploration and analysis of large datasets

Realtime analytics on Postgres

Serverless analytics for startups

Best for

Data analystsBusiness intelligence teamsStartups looking for scalable analytics solutions

Pricing

Hydra pricing

Compare Hydra plans and find the right fit for your team

Hydra Pricing & Plans

Compare all Hydra pricing tiers to find the right plan for your team

Ship

$$50/monthper month

Serverless processing at $2.50/compute hour
Community Support
Up to 500 GB storage at $0.10/GB per month
Up to 5 members
Snapshot-based backups for 1 day

Scale

$$499/monthper month

Serverless processing at $1.50/compute hour
Unlimited storage at $0.10/GB per month
Compute and storage autoscale
Read scaling replicas
Priority email support & SLAs
Snapshot & WAL backups for 7 days
Up to 10 members

Business

$Customper month

Unlimited serverless hours + XL Compute Autoscale
Unlimited storage
Premium support
Private Slack channel
Unlimited members, unlimited teams
Security questionnaires
BYO Cloud supported

Ecosystem

Connected ecosystem

MCP servers, AI skills, and integrations that work with Hydra

MCP servers

Use Hydra with AI agents via these MCP servers

BifrostMCP

Unlock advanced coding capabilities with BifrostMCP for AI-assisted development.

npx 208

Browse all MCP servers

Integrations

Node.jsRubyJavaPHPPythonGoScalaClojure

AI & automation capabilities

REST API

MCP ServerN/A

WebhooksN/A

Free TierN/A

FAQs

Frequently asked questions

Common questions about Hydra and its capabilities

Hydra is a serverless analytics tool built on Postgres, designed for sub-second, real-time analytics. It helps data analysts and BI teams by offering predictable, serverless execution, compute autoscaling, and bottomless columnar storage, making your analytics faster and more scalable without managing infrastructure.