Stratalis vs. Bright Data

Enterprise web data platform

Bright Data sells scraping infrastructure. Stratalis engineers the full system your business actually runs on. Compare the two approaches.

Talk to our engineering team

Tell us what data you need and how you use it. We’ll scope the full system, not just the extraction.

The verdict

Choose Bright Data for proxy infrastructure and self-service tools. Choose Stratalis for a dedicated engineering team that builds and runs your entire data operation.

Stratalis is best for

Teams that need an engineering partner — not a platform login — to deliver production-grade data systems they can rely on.

Bright Data is best for

Technical teams with in-house scraping expertise who need proxy networks, browser tools, or ready-made datasets.

When to choose differently: Teams that want to self-serve on infrastructure and have engineers to build and maintain everything.

How they compare

What you’re buying

Stratalis

A dedicated engineering team that builds, runs, and maintains your data pipelines end-to-end.

Bright Data

A product suite: proxies, scraping browsers, web unlocker, ready-made datasets, and APIs.

Products require someone to operate them. If you don’t have that someone, you need a team.

Depth of focus

Stratalis

We’re a boutique firm. Web scraping and data engineering is all we do. Every project gets senior engineering attention.

Bright Data

Broad product portfolio serving thousands of customers across many use cases.

Breadth is good for self-service. Depth is good when your use case needs engineering judgment.

Beyond extraction

Stratalis

We build the full stack: scrapers, databases, APIs, UIs, and monitoring — whatever the data needs to become useful.

Bright Data

Primarily focused on data collection. What happens after extraction is your responsibility.

Raw data isn’t valuable until it’s structured, stored, and accessible to the people who need it.

Handling complexity

Stratalis

We engineer the right approach per target — mobile scraping, browser-based extraction, API reverse-engineering — and adapt when things break.

Bright Data

Powerful infrastructure tools, but choosing and combining them correctly is on you.

The difference between scraping that works once and scraping that runs in production is engineering judgment.

Scale and self-service

Stratalis

Scoped engagements with direct engineer access. Not designed for self-service at scale.

Bright Data

Self-service platform designed for high-volume, programmatic access by technical teams.

If you already have a scraping team and need infrastructure, self-service is more efficient.

Evidence

Boutique engineering delivers complete systems, not just data points.

The ferry-line project required not just scraping 200+ routes daily, but building the database, API, and delivery pipeline the pricing team actually works with.

How to transition

If you’re using Bright Data tools but spending too much time on integration, maintenance, or post-extraction processing, start with one business-critical pipeline and let us build the full system.

Get an estimate

Talk to our engineering team

Tell us what data you need and how you use it. We’ll scope the full system, not just the extraction.

Get a Quote See our web scraping approach Back to Comparisons

This comparison reflects Stratalis's perspective based on publicly available information. Features, pricing, and capabilities may have changed since publication.