STX Next
European software house specializing in Python and cloud-native development. Fast onboarding and agile delivery model. Strong for application modernization and serverless architectures.
Score Breakdown
STX Next Analysis
✓ Strengths
- • Rapid onboarding and flexible team scaling
- • Strong Python and serverless expertise
- • Competitive European pricing
- • Modern DevOps and CI/CD practices
⚠ Considerations
- • Smaller scale than global integrators
- • Limited managed services offerings
- • Time zone differences for US East Coast
- • Less enterprise experience than larger firms
Best Fit For
- ✓ Mid-market companies ($50M-$500M revenue) seeking application modernization
- ✓ Python-heavy tech stacks migrating to cloud-native architectures
- ✓ Startups scaling up that need senior engineering capacity without Big Four pricing
STX Next Reviews
STX Next has built a strong reputation for Python-first cloud development and rapid team scaling.
Positive Reviews:
- + Fast Onboarding: Most clients report productive work within 2-3 weeks of engagement start
- + Technical Depth: Strong proficiency in Python, serverless architectures (AWS Lambda, Azure Functions), and modern DevOps practices
- + Cost Efficiency: European pricing provides 30-40% savings vs. US-based consultancies with comparable expertise
- + Flexibility: Responsive to changing requirements and comfortable with agile methodologies
Common Concerns:
- ! Scale Limitations: Some enterprise clients note capacity constraints during rapid scaling (500+ engineers vs. 10,000+ at larger SIs)
- ! Time Zone Challenges: US East Coast clients sometimes experience communication delays due to Poland timezone (6-hour difference)
- ! Multi-Cloud Breadth: Primarily AWS/Azure focused; less depth in GCP compared to multi-cloud specialists
STX Next Cloud Projects
E-commerce Platform Migration (AWS)
Migrated monolithic Python/Django application to ECS Fargate. Implemented event-driven architecture using SQS, Lambda, and DynamoDB.
- → 60% cost reduction
- → 3x faster deployment cycles
FinTech Data Pipeline (Azure)
Built real-time data processing pipeline using Azure Functions, Event Hubs, and Cosmos DB. Implemented CI/CD with Azure DevOps and infrastructure-as-code (Terraform).
- → Processing 2M+ events/day with 99.9% uptime
SaaS API Modernization (AWS)
Re-architected REST API to serverless (API Gateway + Lambda + Aurora Serverless). Implemented auto-scaling and multi-region failover.
- → Sub-50ms API latency at scale
- → 80% reduction in infrastructure costs
STX Next Pricing Indication
Pricing varies based on project complexity, duration, and specific requirements. Contact the partner for a detailed quote.
Questions to Ask STX Next
Before engaging with STX Next, here are key questions to help you evaluate fit:
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Python & Serverless Expertise: " Can you share references from projects where you've migrated Python applications to serverless? What patterns did you use for stateful workloads?"
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Team Scaling & Availability: " Given your firm size of 500+ engineers, what's your current capacity for new engagements? How do you handle rapid team scaling if our project scope expands?"
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Time Zone Management: " How do you ensure effective collaboration with US-based teams across the 6-hour time difference? What's your overlap with US East Coast hours?"
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Multi-Cloud Strategy: " While you support AWS, Azure, and GCP, which platform do you have the deepest expertise in? Can you provide client references for each?"
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Managed Services vs. Project Work: " Your model emphasizes project delivery—do you offer post-launch managed services? What happens after go-live?"
Red flags to watch for:
- ⚠ Vague technical responses about serverless patterns or container orchestration (this should be their strength)
- ⚠ Inability to provide Python/cloud-native references in your industry
- ⚠ No clear plan for time zone overlap if you're US-based
- ⚠ Pressure to commit to multi-year contracts before proving value on a smaller engagement
Key Facts
- Headquarters
- Poznań, Poland
- Founded
- 2005
- Team Size
- 500+ cloud engineers
- Industries
- Technology, E-commerce, FinTech, Media
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