Things look different from up here


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Things look different from up here


Working with Big Data is hard. It doesn't have to be. 

We don't purport to be all things to all people. For the vast majority of you working with large volumes of data, however, there is an easier way.

Our mission is to get you out of the weeds, and help you find a clearer point of view.

Getting lost is easy


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Getting lost is easy


We'll help you see the forest through the trees.

We've been there before. Seriously. We've been writing MapReduce jobs since 2005. We've deployed production systems on Hadoop, Cassandra, Spark, and Kafka when they were still in the "oh-dots", and scaled these systems to billions of events per day. We've learned a lot

The most valuable thing we learned was that companies disproportionately allocate resources to the "how" as opposed to the "why". Ascend.io's platform introduces new cognitive models for working with your big data pipelines that refocusses your efforts on what matters most to your business.

Want to learn more?

Already see things differently?


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Already see things differently?


Join our team

We're looking for a handful of talented people to help us change the way the world works with data. 

What we look for:

  • Polymaths: we believe the best teams are those comprised of individuals who have demonstrated excellence in a variety of technical areas, love sharing knowledge with their team, and actively seek out environments where they are not the smartest person in the room.
  • Context seekers: we love the 5 Whys technique. Why? The more you ask, the more context you have about our market, our company, our mission, and our product. Why (do we care)? With more context, you make more well informed decisions by yourself. Why (is this important)? It means less process, less management overhead, and most importantly, more personal growth for you.
  • Impact thinkers: the biggest challenge we face each day is how best to invest our time. The best people we've worked with have this remarkable ability to take a step back and identify how they, and the company, can have the largest impact. They are the ones who view the design of the wheel as sufficient, and passionately pursue the innovations that most profoundly affect our users.
  • Foundation builders: every team, when designing technology, tools, or process, must decide for which horizon to build. Do you design with the next few months, years, or decades in mind? We believe great engineers build for horizon n+1, while designing for n+2. Great engineers find that incredible balance between simplicity and extensibility, initial and recurring time investments.

What we offer:

  • The usual: free food, lots of equity, fancy Palo Alto office, etc... you know, the usual. We don't believe this is why you should join a company, however. We do these things simply to take good care of the people who take such great care of our company.
  • The unique: day 1. Day 1 is when you look at everything done before, leverage exceptional innovations of past, and rethink the rest. At Ascend, you get the opportunity to design things from the ground up and set the direction for years to come. 

How we build:

  • Code: today we do most of our work in Scala, Go and JavaScript (Node.js), with some Java and scripting here and there. Why these languages? In short, we like them and we found that they're the best tools for data pipelines, backend, and frontend development, respectively. We could have just as easily picked other languages and frameworks, but have thus far are quite happy with these. We'll give more details soon in a blog post.
  • Environment: we run as high up in the stack as we can, such as on GAE and Lambda. Why? Because we like things that are incredibly performance, scale quickly, and most of all, it's really nice when somebody does the hard stuff for us, you know, like auto-scaling in less than 250ms. We also run a number of services on Docker when appropriate, and utilize a number of other underlying big data services.
  • Testing & Deploy: our continuous deployment pipeline gates all changes on 100% test pass rate. Why? We believe technical debt is a slippery slope and people always underestimate the impact of short cuts. It really is better to do things right from the beginning.
  • Docs: we believe not just in TDD, but in DDD (Doc Driven Development). We design, review, and iterate on our APIs (including with customers) before we even start writing tests. 
  • Comms: Slack. It's really just that good. 

Current Opportunities:

Point of View


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Point of View