Azure Databricks vs. Pecan.ai

Having access to all databases and tables in one place is what has helped me and my team to function better. The in built functionality/access to SQL and Python is definitely an added bonus! The icing on the cake is the ability to export your data into an Excel spreadsheet for additional analysis. If you have less to no working knowledge of SQL or Python, its better to look at alternatives.

Incentivized

Pecan is something that few know and that I feel can represent a great utility for an entire company, to focus and prioritize all its products and services in favor of the right path, avoiding making mistakes and jumping directly to the solution of future problems before they happen. Pecan will allow you to always be one step ahead and improve your trading system quickly.

Incentivized

• Consistently great performance when dealing with huge scale data with the help of spark architecture
• Magic commands such as spark sql, pyspark, scala . This comes really handy in day to day work
• Integration with other Azure services is super smooth and robust

Incentivized

• One of the main important characteristics is its ease of use and the intuitive nature of the platform. It is possible to carry out analyzes quickly and efficiently without requiring user experience. This positive point really gives us what we need for our work: optimization and automation.
• The creation of reports and statistics allows us to fully visualize the analysis carried out, in order to develop our work and carry out the pertinent actions.
• Segmentation allows us to prioritize potential customers, more focused marketing campaigns, highlight our services with what our public is really interested in.

Incentivized

• Intuitive interface
• Ease of use
• Providing FAQ or QRGs

Incentivized

I particularly believe that CrossEngage has some features that Pecan does not offer, such as A/B Testing, however, we were looking for a good predictor and analyst and the truth is that Pecan does its job very well.

Incentivized

• Helped reduce time for collecting data
• Reduced cost in maintaining multiple data sources
• Access for multiple users and management of users/data in a single platform

Incentivized