Databricks Lakehouse Platform vs. Mapp Intelligence, powered by Webtrekk

If you need a managed big data megastore, which has native integration with highly optimized Apache Spark Engine and native integration with MLflow, go for Databricks Lakehouse Platform. The Databricks Lakehouse Platform is a breeze to use and analytics capabilities are supported out of the box. You will find it a bit difficult to manage code in notebooks but you will get used to it soon.

Incentivized

Webtrekk is a good tool to get insights on your website and app usage. It is possible to get more information on your campaigns and engagements. If Webtrekk is in use with Mapp Engage, it is possible to manage your campaigns with one tool.
It is not possible to use Webtrekk as data lake, but Mapp is actually developing a Customer Data Platform.
Webtrekk (Mapp Intelligence) is a web analytics tool, so it has to be used as web analytics tool.

Incentivized

• Process raw data in One Lake (S3) env to relational tables and views
• Share notebooks with our business analysts so that they can use the queries and generate value out of the data
• Try out PySpark and Spark SQL queries on raw data before using them in our Spark jobs
• Modern day ETL operations made easy using Databricks. Provide access mechanism for different set of customers

Incentivized

• Good visualization in reports for marketing and c-level.
• Part of the big picture Mapp Suite (Engage Intelligence Aquire).
• Integrated tag management.
• No sampled data.
• It is possible to combine 90% variables and metrics.

Incentivized

• Connect my local code in Visual code to my Databricks Lakehouse Platform cluster so I can run the code on the cluster. The old databricks-connect approach has many bugs and is hard to set up. The new Databricks Lakehouse Platform extension on Visual Code, doesn't allow the developers to debug their code line by line (only we can run the code).
• Maybe have a specific Databricks Lakehouse Platform IDE that can be used by Databricks Lakehouse Platform users to develop locally.
• Visualization in MLFLOW experiment can be enhanced

Incentivized

• Webtrekk (Mapp Intelligence) should invest to go real time or near real time.
• Build more APIs to use 3rd-party data in Webtrekk and use Webtrekk Data in 3rd-party tools.
• Webtrekk should build better click-path-analysis and journeys.

Incentivized

Because it is an amazing platform for designing experiments and delivering a deep dive analysis that requires execution of highly complex queries, as well as it allows to share the information and insights across the company with their shared workspaces, while keeping it secured.

in terms of graph generation and interaction it could improve their UI and UX

Incentivized

One of the best customer and technology support that I have ever experienced in my career. You pay for what you get and you get the Rolls Royce. It reminds me of the customer support of SAS in the 2000s when the tools were reaching some limits and their engineer wanted to know more about what we were doing, long before "data science" was even a name. Databricks truly embraces the partnership with their customer and help them on any given challenge.

We are talking weekly to our Partner Manager. We are Webtrekk experts, so we don't use much direct support.

Incentivized

Compared to Synapse & Snowflake, Databricks provides a much better development experience, and deeper configuration capabilities. It works out-of-the-box but still allows you intricate customisation of the environment. I find Databricks very flexible and resilient at the same time while Synapse and Snowflake feel more limited in terms of configuration and connectivity to external tools.

Webtrekk is a German company, in the U.S. company Mapp. It is fully GDPR-compliant. It is not expensive compared to Google and Adobe.

Incentivized

• The ability to spin up a BIG Data platform with little infrastructure overhead allows us to focus on business value not admin
• DB has the ability to terminate/time out instances which helps manage cost.
• The ability to quickly access typical hard to build data scenarios easily is a strength.

Incentivized

• Get insights into your web data.
• Use the marketing automation for easy use cases (save your money by not using expensive 3rd-party tools for simple marketing automation use cases).
• 1 tool for over 20 apps and 100 websites.

Incentivized