Go beyond exploratory analysis to build a data science project architecture on Ensign streams
From 0 to deployment in 3 months
Transform your models into APIs with Ensign’s asynchronous inference engine
From trained model to deployment in 2 weeks
Take control of your own data ingestion with Ensign’s data storage and sharing features
Get the data you need to get started today
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.
Data Science 2.0
Open-source tools to rapidly prototype new data pipelines, integrate realtime analytics, and get your data science predicting beyond the batch.
Ensign for Enterprise
Cooperation-as-a-service. Break down data silos and build low-maintenance topologies tailored to your business. Cloud, on prem, edge or hybrid.
On the Cloud
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PubSub 101 - Creating Data Flows With Topics
If you struggle to build analytics and models that keep up with changing data, it might be because you haven’t yet learned to think about data in terms of topics. In this module, learn how by solving a real-world, real-time problem!
Building Real-Time Apps in Python with Ensign and Streamlit
Python may be the 2nd best language for everything, but it’s a favorite of data scientists worldwide, and delivers a world of functionality. Did you know you can even build customer-facing AI/ML apps with Python now? Learn how…
PubSub 101 - Using the PyEnsign SDK
The Python SDK is the most popular way to use Ensign. In this module you will write some Python code to publish data to your project.