Databricks Data Intelligence Platform vs. Google Maps API

Medium to Large data throughput shops will benefit the most from Databricks Spark processing. Smaller use cases may find the barrier to entry a bit too high for casual use cases. Some of the overhead to kicking off a Spark compute job can actually lead to your workloads taking longer, but past a certain point the performance returns cannot be beat.

Incentivized

It is most suited for someone who has a physical office, particularly a retail store which helps them to promote the business locally. I would suggest businessmen should use this tool for promoting their business in a more effective way. It is of least important if you are promoting your business digitally and don't have a physical location.

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

• Very simple UI, easy to use.
• You can send your live location to a person who wants to meet you.
• You can mark and pin the locations you are travelling regularly.
• You can get the code of iframe for any location and embed it into your organization's website also.

Incentivized

• Sometimes, when multiple jobs depend on each other in different environments, it is not always easy to see the full workflow in one place.
• It is sometimes difficult to determine which job or cluster contributes more to the overall cost.
• For beginners, cluster configuration may be a little difficult. So more recommendation in the platform can help.

Incentivized

• Offline location required for some certain locations
• Needs to reduce updates as it is comes from most of the updates.
• Maps needs to be accurate in small areas in order to find destination.

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

Google Maps API is easy to use. Map visibility is good and accurate. Easy to search routes, distance, and travel time based on actual address to address locations or when quoting a zip code to zip code rate. The user interface is friendly and make usage easy and quick to obtain all the information I need to properly quote and plan my driver's routes.

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.

It does everything I need it to do and hasn't let me down yet. It has been a lifesaver for my roofing accounts. Most of my clients for the roofing belong to an Amish community with no computers and so forth. So being able to search the maps and look at the rooftops is imperative for those campaigns.

Incentivized

The most important differentiating factor for Databricks Lakehouse Platform from these other platforms is support for ACID transactions and the time travel feature. Also, native integration with managed MLflow is a plus. EMR, Cloudera, and Hortonworks are not as optimized when it comes to Spark Job Execution. Other platforms need to be self-managed, which is another huge hassle.

Incentivized

Google MAP API is one of the prominent ones as compared to others. In the selection process also we are [complete] with the API provider by Google MAP as it is quite stable.No doubt it is one of the best methods to implement or integrate as compared to any others which is available in the competition.

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

• Definitely it gives optimum ROI to my organization which is positive sign.
• My company overall business showed a positive growth rate.
• I now get more no of people visiting my office .

Incentivized