On air · 1 of 3 networks
DataPelago
- datapelago.ai
- Data
- US
- 52 employees
DataPelago’s ads on LinkedIn, Meta and Google, recorded by adsrunning. Browse the latest here for free. Sign up free to see all 138. Watch DataPelago with Starter to get each new one in your feed.
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| Network | Status | Live ads | Nov 2025LinkedIn activity · 52 weeksOct 2026 | Checked | Next step |
|---|---|---|---|---|---|
| Running | 127 | Checked 30 Oct 2026 | See all 138 ads → | ||
| Meta | Not checked | — | |||
| None recorded | 0 | No ads found on the Google Ads Transparency Center | Checked 26 Oct 2026 | Collect them with the API → |
DataPelago has 127 live LinkedIn ads. We recorded no Google ads on 26 Oct 2026.
Latest ads
- LINKEDIN · CAROUSELSince 8 Dec 2025
Spark workloads shouldn’t slow your team down—or drain your cloud budget. But too often, engineers end up stuck in tuning loops and late-night firefights instead of building what actually moves the roadmap. There’s finally a better way. 🔥 DataPelago gives your existing Spark environment an instant lift, supercharging even your slowest pipelines without a single code change. Faster runs, dramatically lower compute spend, and engineers who can focus on shipping—not troubleshooting. If leveling up Spark is this effortless… Why wait? See how leading teams are accelerating Spark in minutes.
- LINKEDIN · IMAGESince 8 Dec 2025
Spark workloads shouldn’t slow your team down—or drain your cloud budget. But too often, engineers end up stuck in tuning loops and late-night firefights instead of building what actually moves the roadmap. There’s finally a better way. 🔥 DataPelago gives your existing Spark environment an instant lift, supercharging even your slowest pipelines without a single code change. Faster runs, dramatically lower compute spend, and engineers who can focus on shipping—not troubleshooting. If leveling up Spark is this effortless… Why wait? See how leading teams are accelerating Spark in minutes.
- LINKEDIN · IMAGESince 28 Nov 2025
💡 Moving Spark workloads to a new platform can take six months — and derail your roadmap. Data Engineering Leads face: - Rewriting workflows from scratch - Endless security reviews - Features slipping quarter after quarter - Maintaining old and new systems at the same time. What if you could skip the migration entirely? The DataPelago Accelerator plugs into your existing Spark setup: ⚡ 10x faster performance 💸 Up to 80% lower compute cost 🔒 Enterprise-grade security, zero rewrites
- LINKEDIN · IMAGESince 28 Nov 2025
Run your workloads on Spark - Supercharge it with DataPelago accelerator.
- LINKEDIN · IMAGESince 26 Nov 2025
Yup, these were actual reactions to DataPelago demos. Both are now customers and have saved upwards of a million in Spark costs. You can too, just hit the button to start saving. The best part? You pay $0 for next 6 months :)
- LINKEDIN · IMAGESince 26 Nov 2025
10x Faster Spark. 80% Cost Reduction. 0 Code Changes. Yes, really. This isn't just another plugin that requires you to rewrite your pipelines. Drop-in DataPelago Nucleus which: - Integrates at the Spark Catalyst level. - Recompiles for end-to-end GPU execution. Your Data frame ops, SQL queries, and ML pipelines just got 10x faster and 80% cheaper. No code changes.
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