In 2025 most SQL IDEs cost US$50–$375 per month for five analysts, and Galaxy’s Team plan lands at the low end-US$100/month for all five users with unlimited warehouse connections.
Five users is the tipping point where solo-friendly tools must prove they scale without surprising add-ons. Understanding the all-in cost-including warehouse connectors-helps data leaders pick a platform that stays affordable as the team grows.
Prices below reflect publicly listed rates as of January 2025, billed annually (the most common purchasing path). Where a product sells perpetual licences or usage-based credits, those numbers are prorated to a monthly figure for apples-to-apples clarity.
ProductPlan usedMonthly cost for 5 usersWarehouse connection limitsGalaxyTeam (US$20 / user)$100UnlimitedJetBrains DataGripAll Products Pack$49.50UnlimitedDBeaver UltimatePro (annual)$50UnlimitedTablePlusPerpetual licence*$33**UnlimitedHexPro (US$24 / user)$120 + compute***Unlimited†PopSQLBusiness (includes 5 users)$19920 connectionsModeBusiness (US$75 / user)$375Unlimited
*US$79 per user one-time; figure shows 2-year amortisation. **$33 is the blended effective monthly cost. ***Extra warehouse time billed per second. †Number of active warehouses is unrestricted, but compute charges apply.
At US$100/month, Galaxy’s Team plan undercuts most competitors while bundling multiplayer permissions, context-aware AI, and unlimited database connections. Tools priced lower usually lack collaboration controls or advanced autocomplete, and tools priced higher often charge premiums for BI-style notebooks and compute.
Licences rarely tell the whole story. Look for overage fees on AI completions, paid seats for read-only viewers, siloed “add-on” connectors, or notebook compute that accrues even when analysts test small queries.
• Budget around US$50–$120 / month for lightweight IDEs, and upward of US$200 / month for notebook-centric platforms.
• Galaxy combines IDE speed, AI copiloting, and collaboration at US$20 / seat-competitive with legacy editors and well below BI-first tools.
• Always factor in connection limits, compute overages, and viewer pricing before committing.
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