Ibis · Voltron Data
Open Source Paves the Way for
We’re investing heavily in open source technologies that align to crucial challenges developers, engineers, and enterprises face today. These projects serve as a runway for communities to adopt as common standards over time.
Open-source projects like Datafusion, Polars, and Velox are making it possible to develop query engines for use cases that were previously considered 'too niche' to build for. As the industry standardizes on Arrow for in-memory data representation, the challenge of how data is shared across these new platforms is solved.
- Bucky Moore, Kleiner Perkins
We are adopters, maintainers, and contributors to these leading open source initiatives:
ALL IN ON IBIS
The Standard Dataframe API for Python
The Ibis project is the new front door for data analytics and machine learning. It fills a critical gap in data analytics. It’s all the plumbing required to connect to different data sources and maintain code.
→ EMBRACING A FAMILIAR INTERFACE
Enabling Production-Grade Pythonic Analytics with the Flexibility of pandas at Scale
→ MAINTENANCE WITH EASE
Standardizing Workflows for Manipulating Data
→ SCALABLE WHERE YOU NEED IT
Go from Code to Dev to Production with Ease
Ibis Adoption is Taking Off
Contributors / Maintainers
Ibis in Leading Enterprises
Get into Ibis
Blogs about Ibis
Ibis tackles massive datasets more efficiently than pandas. As a consistent Python API, it pares down large datasets before pulling what you need into memory. Learn more about how Ibis stacks up against pandas.+
No matter the engine you’re using to wrangle data, the Ibis syntax and concepts stay the same. Gain insight into how Ibis can increase code portability, and the performance gains you’ll get, with this 101.+
Ibis can solve technical debt and organizational issues that arise from maintaining a python-centric, SQL-heavy, memory-intensive analytics code base. Learn how its lightweight interface can be a boon for analytics teams.+
Learn how Ibis can give a single developer power over data movement and migration - all without having to understand how to manipulate the programming infrastructures of the data sources they need to connect to.+
Go in-depth: We take a Hacker News dataset from Google BigQuery and use Ibis to analyze the platform’s most common topics – without needing to pull the dataset’s 33 million rows into local memory.+
What People are Saying
@DuckDB 🤝 @IbisData! Like using a DataFrame API, but want 8x the speed of Pandas? Use Ibis with the new DuckDB backend! Now you can use the Ibis API both for querying remote DBs and super fast local analysis. You can always mix and match with SQL too!@__AlexMonahan__
VAST's Sigma frontend is the best example for why we need something like@IbisData 😊 standardized query plan representation) for #infosec. #dataengineering leads the way. ⚙️@mavam
Exciting to see the accumulated UX improvements in authoring complex analyses in @IbisData — significant productivity improvements over both SQL and pandas in many places. 👉 Here @cpcloudy analyzes the project’s CI performance data in BigQuery.@wesmckinn
Voltron Data offers support for developers and enterprises working with Ibis.
We understand that working with open source tools can sometimes be difficult and challenging. From answering technical issues on GitHub to partnering on developing core system technology, we are here to help as little and as much as you require. Please reach out to email@example.com with any questions or needs you may have.