Databricks Data Intelligence Platform vs. Yext

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

We have multiple branch locations throughout our market area. It's very challenging to manage the web listings for each location, with a large volume of listings across numerous platforms for each of those locations. Yext significantly reduces the workload by allowing me to make a single update and Yext automatically pushes the notifications across the other platforms

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

• Yext is very, very user-friendly and easy to use.
• Yext provides information within the portal on how you can enhance your listings as well as how you can fix any issues with your listings that may exist.
• Yext's dedicated account managers can help you with any issues that may arise. For example our location pin on Apple Maps was wrong on one of our clinic listings and our Yext account manager reached out directly to Apple support and fixed the issue.

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

• Cost. This platform offers a lot of powerful features, but it has an expensive barrier to entry.
• Annual contracts limit flexibility for smaller companies
• The biggest drawback is that you need to keep your subscription active or listings/citation data will revert back to what it was pre-Yext implementation

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

Yext is pretty easy and straightforward to utilize out of the box. While I work for a digital marketing agency, and this is second nature to me at this point, I do believe the average SMB owner with zero digital marketing experience could be a proficient Yext user within 1 hour or so of usage. It's easy

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.

Have been very impressed with the support we receive from Yext. I always feel I am listened to and if I have any problems or concerns they are quickly addressed. I have multiple ways to obtain support, either technical or strategic support, and they are responsive. I couldn't ask for more.

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

We initially chose Yext because it provided the greatest control for our multiple listings. Plus, it had access to the most publishers. However, when evaluating Synup we were very impressed. You would not go wrong to choose either!

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

• Consistency in business listing management - without Yext, we would surely have more inconsistencies with our business address across the web. This can lead to poor communication to our customers, and potentially lost business if we lose trust as a reputable business.
• Yext saves me hours of legwork to manage numerous web listing platforms individually.

Incentivized