More about Estuary and related technologies, straight from the team.
Our blog breaks down basic concepts and takes you into the minds of our engineers. We also dig into the business principles that guide our company and allow us to build great solutions for yours.
Connector stories: Apache Kakfa
Apache Kafka is an extremely popular open-source event streaming platform. We talk to Estuary developer Alex about his process and the insights he gained building the Kafka connector.
Introducing Estuary’s open-source connector repository
We believe that an ecosystem of open-source connectors will be critical to the future of data integration. That’s why Estuary is excited to announce our open-source connector repository.
The costs of data integration explained, and how to minimize them
There is a cost associated with putting your data to work, and the benefits you gain depend on the systems you put into place. To maximize net value, you need to strike a balance between minimizing costs and maximizing gain.
Re-evaluating Kafka: issues and alternatives for real-time
Kafka’s challenges have exhausted many an engineer on the path to successful data streaming. What if there was an easier way?
5 example use-cases for real-time data processing
The applications for real-time data processing are diverse and far-reaching. This article highlights just a few.
Real-time and batch data processing: an introduction
Real-time and batch are two broad categories of data processing. Though they handle data differently, both are vital to the systems that make our businesses and society run.
Why MapReduce is making a comeback
What if we could adapt MapReduce to real-time data processing? Spoiler: it’s awesome and we’re building a next-gen data platform based on it!
ETL vs ELT: Breaking down the split paradigm
At first glance, ETL and ELT seem rigidly defined and mutually exclusive. But to understand our data integration options, we need to look closer.
Data pipeline basics for modern organizations
The term “data pipeline” evokes a mental image that speaks for itself. But their significance for your data goes far beyond that.
Putting an end to Unreliable Analytics
When building a product or service, it’s imperative to know that input data will be as expected. If that information comes…
Lead With Vision, Not Metrics: How OKR’s Can Be a Dangerous Tool
Data, if used properly, is key to success in any organization. It’s impossible to improve without metrics which help us understand…
Data Democracy Unlocks Value for Organizations. Here’s How to Start
Sometimes the most relaxing place to travel is nowhere at all.
Keep Privacy and Governance in Mind When Developing or Updating Your Systems
Design a fitness plan that’s simple and fun and you’ll never miss a workout.
How Kubernetes will Enable a new Genre of Vendor to Enterprise
What do you do when geography gets in the way of friendship or love?
Safely Sharing Data Between Companies
You don’t have to be a professional designer to appreciate visual balance and beauty.
How to take advantage of the data revolution in your business
Data is exploding and it takes planning to get in front of that trend.
A Unified Data Foundation for Real-time and Batch
Batch and streaming usually require different architectures and building infrastructure, but shouldn’t.