AS THE VOLUME, VELOCITY, AND VARIETY OF YOUR DATA INCREASES, SO HAS THE BURDEN OF MANAGING YOUR DATA LIFECYCLE.
Managing the data lifecycle now stands between you and realizing measurable benefits to your big data initiatives. Current tools and solutions are built by experts, for experts, and offer little help as your needs evolve from DevOps to DataOps.
3 key pain points emerge:
Managing the data lifecycle is manual and prone to error.
Partitioning, error handling, scheduling, and much more drain your team’s resources and haven’t been effectively automated.
DataOps requires big data specialists.
These highly-paid experts are hard to find and always oversubscribed.
- Innovation lags on big data bottlenecks.
Data-driven innovation requires company-wide collaboration and rapid innovation currently impossible with big data.
WE’VE BEEN THERE BEFORE.
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.
WE’RE HERE TO SHOW YOU THERE’S A BETTER WAY.
Ascend productizes the data lifecycle and removes your roadblocks to innovation. We are currently in private release and welcome any inquiries from companies interested.
Ascend is backed by top tier investors: