Most data teams know they’re stuck with an expensive ETL contract. The monthly bills keep climbing, but switching feels like too much risk and disruption.
So they renew. Again. Even when they know there are better options.
The problem is that most teams only see the obvious costs – the monthly subscription fees. But staying with an overpriced ETL platform costs far more than what appears on your invoice:
The Engineering Tax: Your team burns 25+ hours per week on ETL maintenance instead of building features. Manual interventions disrupt sprint flow. Workarounds become technical debt. Innovation gets pushed to “next quarter.”
The Growth Penalty: Success triggers cost spikes. Every new customer, product expansion, or market entry inflates your ETL bill through volume-based penalties – regardless of whether you get more value.
The Waste Multiplier: Up to 30% of your pipelines are inactive “zombie syncs” silently draining your budget. Full dataset reloads when incremental updates would do. You’re paying for inefficiency your current vendor profits from.
The Renewal Trap: Auto-renewal because switching feels too risky. Pricing negotiations from a position of weakness. Another year of the same problems, compounding every quarter.
Most data leaders know their ETL setup is broken. They worry about downtime, getting locked into another overpriced contract, and the strain on already stretched teams.
The difference? We’ve completely redesigned our approach to eliminate every single one of these risks.
The first question we get from data leaders? “How can we be sure this won’t break everything?”
The answer lies in how we’ve completely redesigned the migration process. Instead of the traditional “rip and replace” approach that forces you to gamble with your production systems, Mirror Mode runs your new ETL alongside your current one.
Both systems process your real data simultaneously. You compare outputs, validate performance, and review actual cost savings – not estimates or projections. Your existing workflows keep running without disruption while you prove the new system works exactly as promised.
Traditional ETL migrations are notorious for their 6-12 month timelines, pipeline rebuilds, and extended double payment periods. Most teams can’t afford that disruption, which is exactly why they stay trapped in overpriced contracts.
Mirror Mode changes the entire equation. We mirror your existing logic, preserve your transformations, and let you validate everything works before making any commitment to switch.
No one wants to gamble with their data. That’s why Mirror Mode runs your new and old ETL systems side-by-side with your actual data.
Here’s our 4-step process that proves results before you commit:
1. Assess
We connect to your current environment and map your existing ETL pipelines. No changes, no disruption—just visibility into opportunities for improvement.
2. Build
We mirror your existing logic inside Matatika in parallel. Your syncs, transformations, schedules, and custom connectors—nothing gets rebuilt unless it’s broken.
3. Validate
Both systems run simultaneously with real workloads. You compare outputs, validate performance, and review costs using actual usage patterns—not promises or estimates.
4. Transition
Only when your team is 100% confident do we cut over to Matatika. No disruption to production, no broken dashboards, no double payments.
This approach eliminates the uncertainty that typically makes ETL switching stressful. You’re making decisions based on proven results with your own data.
Here’s how confident we are in Mirror Mode: You don’t pay anything until you’ve validated everything works and decided to go live.
No upfront costs. No setup fees. No billing during the entire validation period.
We mirror your current ETL setup, run both systems in parallel with your real data, and prove the cost savings and performance improvements before you commit to anything.
If Mirror Mode doesn’t prove it’s better than your current setup, you owe us nothing. If it does prove it’s better and you decide to switch, billing only starts when you go live.
Every other vendor asks you to make decisions based on their promises. We let you make decisions based on your own proof.
Many ETL vendors use row-based pricing models that penalise businesses as their data volumes grow. Every new customer, every product expansion, every business success triggers higher ETL bills—regardless of whether you get more value.
Matatika does things differently.
Switching to performance-based pricing is the fastest way to cut ETL costs. Most teams save 30-60% by only paying for what they actually use—compute time, storage, and execution frequency. No arbitrary row counts, no hidden costs, no financial penalty for growing your business.
What this means for your team:
Beyond switching platforms, data teams need a strategic framework to escape vendor lock-in and regain control of their costs. The ETL Escape Plan provides exactly that, a structured approach to assess your situation and plan your next move.
The framework focuses on:
The most successful approach is to plan ahead rather than wait for renewal pressure. This gives you time to validate your options and either negotiate better terms or execute a proven escape route.
Most ETL migrations fail because they demand too much risk upfront.
Traditional Migration Reality:
Mirror Mode Approach:
How CitySprint Fixed Their “Plate of Spaghetti” Data Architecture
CitySprint delivers over four million parcels annually across the UK. Their growth had created a fragmented mess of three separate ETL platforms that consumed 80% of their data team’s time with maintenance and firefighting.
Using Mirror Mode, they transformed their entire data architecture, eliminating system outages, shifting their team’s focus from maintenance to strategic work, and achieving weekly P&L visibility across three business units—all with zero business disruption during the migration.
“We set out to deliver a single version of the truth across the company, and with Matatika, we’ve done that. We now make better decisions, faster and at a lower cost.” — Jonathan Samols, IT Director
We handle everything. From schema conversion to configuring over 500 pre-built connectors, our experts manage the transition while your team stays focused on what matters most.
We also conduct an ETL Escape Audit before any switch, ensuring the move makes financial and operational sense. This isn’t about moving to another ETL provider, it’s about proving cost savings and improved efficiency before you commit.
The Strategic Advantage of Early Planning
Most data leaders wait until renewal pressure hits. By then, you’re negotiating from weakness with no alternative. Teams that plan ahead can validate their escape route, benchmark savings, and negotiate from a position of strength, or walk away entirely.
Whether your renewal is around the corner or further down the line, the strategic approach is the same: assess your current situation, validate alternatives, and make informed decisions based on proof rather than promises.
The difference between hoping something works and knowing it works is the difference between a risky gamble and a strategic decision.
Mirror Mode eliminates migration anxiety by letting you validate everything before committing. Performance-based pricing aligns costs with actual value. The ETL Escape Plan gives you a framework to make informed decisions instead of rushed renewals.
Ready to take control of your ETL future?
This isn’t a demo or sales pitch. It’s a comprehensive audit of your current ETL setup.
We’ll:
You’ll leave with:
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