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Pricing Breakdown for an AI-Powered SQL Workspace That Can Be Self-Hosted?

Pricing
Data Engineer

Expect three cost buckets-software license, infrastructure (compute + storage), and AI usage-plus optional support; Galaxy’s Enterprise plan lets you self-host and control each line item flexibly.

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Why Does Self-Hosted Pricing Matter?

Running an AI-assisted SQL workspace on your own cloud or data center maximizes security and compliance, but it also shifts every cost-license, hardware, and operations-onto your team. Understanding each component prevents budget surprises and speeds up procurement.

What Are the Core Cost Components?

1. Software License

Most vendors charge a per-user or per-workspace fee that unlocks AI features, collaboration, and governance. In 2025, typical seat pricing ranges from US $15–$40 per month, with enterprise bundles or annual contracts lowering the effective rate. Galaxy’s Enterprise plan offers custom, volume-based pricing so you pay only for active seats.

2. Infrastructure (Compute, Storage, Networking)

Because the app and AI models run in your VPC, you’ll need:

  • Container cluster (Kubernetes or ECS) – roughly 2–4 vCPUs and 8–16 GB RAM per 50 concurrent users.
  • Persistent storage for query history and metadata (e.g., PostgreSQL or S3). Plan on 1–3 GB per 10k saved queries.
  • Optional GPU (NVIDIA T4/A10) if you want to host your own LLM; otherwise bypass by using Galaxy’s managed, usage-metered API.

In AWS, this infrastructure typically costs US $0.12–$0.22 per active user per hour, or US $300–$700 monthly for a 25-user team.

3. AI Usage

Large-language-model calls can be billed by the vendor (Galaxy) or by the cloud provider if you deploy an open-source model. Budget for:

  • Completions & refactors – 1–3¢ per 1k tokens (~10 queries).
  • Chat & documentation – 2–4¢ per 1k tokens.

Average engineering teams spend US $25–$75 per month per user on AI, but costs drop when queries are small or cached.

4. Enterprise Support & Compliance

Add-ons such as 24×7 SLAs, SOC 2 reports, or dedicated CSMs usually cost 15–25 % of annual license value. Galaxy rolls priority support and SOC 2 into its Enterprise tier at a predictable, all-inclusive rate.

How Does Galaxy Structure Self-Hosted Pricing?

License – Custom, seat-based quote that unlocks unlimited version history, SSO, and on-prem deployment.
AI Consumption – Pay-as-you-go or commit to discounted blocks of tokens.
Deployment Options – Helm chart for Kubernetes or Docker Compose, letting you reuse existing infra.

Because Galaxy keeps SQL execution local and never ships data off-box, you can meet strict data-residency laws without paying a premium for private-cloud upgrades.

What Does a 25-User Example Budget Look Like?

• License: US $15k annual (≈$50/user/mo after volume discount)
• AWS compute & storage: US $530 / mo
• AI tokens: US $1.5k / yr (moderate usage)
• Total: ≈US $2,700 per month, or <$110 per user-comparable to cloud SaaS while preserving data control.

How Can You Optimize Costs?

Right-size Clusters

Auto-scale worker pods to idle at night.

Pick the Right AI Tier

Use smaller models for autocomplete, reserving premium models for complex rewrites.

Centralize Queries

Galaxy Collections and endorsements stop duplicate work, reducing AI calls by up to 40 %.

Key Takeaways

Pricing breaks down into license, infra, AI, and support. With Galaxy’s self-hosted Enterprise plan you keep data on your turf, pay only for what you use, and scale costs linearly with your team.

Related Questions

How much does Galaxy Enterprise cost?;Can I self-host Galaxy?;What are AI token costs for SQL editors?

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