Database meets streaming for data scientists.

Build real-time data products without breaking Prod or learning DevOps. Ensign is a database-meets-event-streaming platform for data science teams that want to get their data moving and their models into production.

Disconnected Data Sources? Meet Real-time Insights

Ensign is a cloud native, cloud agnostic, real-time data streaming platform that seamlessly integrates your disconnected data.

  • Faster analytics that don’t wait for data to accumulate
  • Build rapid prototypes in days rather than months
  • No cluster management or YAML editing required
  • Leverage the skills and infrastructure you already have

Get started in minutes with an API key and developer-friendly SDKs. Made to fit any tech stack.

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  • Ciphertrace
  • Tactile
  • Trisa
  • Qredo
  • 202 Group
  • University of Chicago

Data Science 2.0

Sea Otter Engineers

Open-source tools to rapidly prototype new data pipelines, integrate realtime analytics, and get your data science predicting beyond the batch.

Ensign for Enterprise

Sea Otter Product Managers

Cooperation-as-a-service. Break down data silos and build low-maintenance topologies tailored to your business. Cloud, on prem, edge or hybrid.

Get Started

Getting Started Steps

Curious? Check out the GitHub Repo.

On the Cloud

  • Google Cloud Partner
  • Linode - Akamai Connected Cloud Partner

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How to Dockerize Python Data Science Processes

Docker is great, but most tutorials are geared toward devOps users, not data scientists. If you’re building long-running processes for NLP, ML, or generative AI, here’s a blueprint for Python Docker containers for data science!

Benjamin Bengfort
Sep 14, 2023

My First Year as a Junior Developer at Rotational Labs

🎉 I just celebrated my first year as a junior developer. In this post, I’ll share some of the things I’ve learned and techniques I’ve grown to value over the last twelve months.

Danielle Maxwell
Sep 1, 2023

Intro to Polars: A Pandas Alternative for Efficiently Working with Large Datasets

Dataframes are a powerful data structure for data processing, analytics, and ML. For many years, Pandas has been my go-to. But it can really slow you down when you’re working with big or high-dimensional data. Enter Polars!

Prema Roman
Aug 22, 2023