We are back with another
Every week, we highlight a standout company from our
This week, we are proud to present DataOps.live, the automation platform bringing DevOps discipline to enterprise data engineering. Instead of manual data pipeline management and chaotic releases, DataOps.live provides automated CI/CD, testing, and observability for data teams. The result is data engineering that moves 10x faster at 60% lower cost.
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When DevOps Meets Data
DataOps.live was founded with a vision to help companies reduce time to insight and accelerate time to value. The company was born out of nearly a decade of professional services and hundreds of successful data projects to meet the needs of modern, data-driven companies trying to orchestrate pipelines with vast volumes of IoT and Non-IoT data.
Until three years ago, the underlying technology capabilities simply weren't there to allow DataOps to exist. Innovations by Snowflake, such as Zero Copy Clone and Time Travel, transformed what was possible. DataOps.live became one of the first to leverage these capabilities to create what they call #TrueDataOps.
Here's where things get really interesting. DataOps.live didn't just build a platform for Snowflake customers. Snowflake became their customer.
More than 1200 in-house Snowflake sales engineers and field CTOs use the DataOps.live platform every day to create and deliver customer demos, and 800 other employees use it for observability and analytics.
Think about that for a second. The very company whose technology powers DataOps.live uses DataOps.live to power their own sales demos and analytics.
https://hackernoon.com/ai-belongs-inside-dataops-not-just-at-the-end-of-the-pipeline?embedable=true
DataOps.live in the Enterprise Data Ecosystem
As data becomes the foundation for AI and machine learning initiatives, DataOps.live is positioning itself at the intersection of several critical enterprise needs:
- Automated data pipeline development and deployment
- Enterprise-grade testing and quality assurance
- Full-lifecycle observability and governance
- CI/CD for analytics and data transformation
- AI-ready data scoring and validation
The Gartner 2023 Market Guide for DataOps Tools highlighted DataOps.live's approach, predicting that by 2025, a data engineering team guided by DataOps practices and tools will be 10 times more productive than teams that don't use DataOps.
HackerNoon 🤝 DataOps.live
DataOps.live has been actively sharing their expertise on HackerNoon, publishing insightful articles that showcase their deep understanding of data engineering, AI integration, and enterprise-scale automation. Their recent pieces include thought-provoking discussions on moving from AI-supported to AI-first engineering, why AI belongs inside DataOps rather than just at the end of the pipeline, and how automation makes DataOps work in real enterprise environments.
Read DataOps.live on HackerNoon:
- Back to Basics: Database Design as Storytelling
- We Need to Sound the Alarm on Technical Debt. Here’s How I Do It.
- AI Exposes the Fragility of "Good Enough" Data Operations
- From AI-Supported to AI-First: What We’ve Learned Re-Engineering How We Build Software
Automate Like DataOps.live: Tell Your Story on HackerNoon
Here’s what’s in it for you:
- Full editorial support – we’ll help refine your story so it truly shines.
- Multiple permanent placements – across HackerNoon, plus social media amplification.
- Audio storytelling – your articles converted into audio format and distributed via RSS feeds.
- Global reach – automatic translation into 12-76 languages.
- SEO & domain authority boost – piggyback on HackerNoon’s trusted brand to strengthen your search rankings.
And that’s all for this week, hackers.
Stay Electric, Stay Inspired.
HackerNoon Team.