Ursa - Top Competitors & Alternatives

Looking for the best Oil & Gas Data provider for your business? Find reviews for Ursa left by Datarade users, and compare Ursa’s data products and performance to the most popular competitors and alternatives. Predik Data-driven, Success.ai, Axiom EMI, and Chain of Demand are the top competitors and alternatives to Ursa.

Top Alternatives to Ursa

Top Competitors & Alternatives to Ursa

Coverage

USA

+247

We wanted to analyse the foot traffic data across Sydney. Predik provided quality traffic density heatmap and raw foot traffic data across Sydney Australia to support us with the use case. Highly recommended.

Coverage

USA

+248

I’m really happy with the contact data I got from success.ai. After talking to a bunch of other providers, they were either way too expensive or didn’t offer the best implementation options. But success.ai was a great fit for me!

Coverage

USA

+247

Axiom EMI is a highly experienced research and advisory firm focussed on the global offshore energy markets. Our service integrates the O&G space with offshore renewables, hydrogen and CCUS opportunities. Our goal is to support our clients in navigating the offshore energy transition.

16000+

Offshore Platforms

9000+

Subsea equipment structures

700+

Upcoming Project Opportunities

Coverage

USA

+16

Chain of Demand provides retail industry data spanning across the US, China and the European market. With three years of data available, we use our proprietary data mining techniques to collect insights, signals and revenue predictions that are powered by our artificial intelligence models.

100M+

data points

168x

faster to analyze data

variance in revenue prediction

Coverage

USA

+247

We provide actionable intelligence by fusing satellite imagery data with advanced statistics, machine learning, and industry expertise.

Coverage

USA

+247

Strong data coverage and quality. Ended up licensing hourly and daily weather data in the United States. Strong historical coverage. Team was easy to work with and moved quickly to deliver the data in the format we needed.