dbt vs. Limelight Software

The prerequisite is that you have a supported database/data warehouse and have already found a way to ingest your raw data. Then dbt is very well suited to manage your transformation logic if the people using it are familiar with SQL. If you want to benefit from bringing engineering practices to data, dbt is a great fit. It can bring CI/CD practices, version control, automated testing, documentation generation, etc. It is not so well suited if the people managing the transformation logic do not like to code (in SQL) but prefer graphical user interfaces.

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Limelight is well suited for reporting, especially if you're GL is integrated with it. I've been able to create many different types of reports for a wide user base. It's easy to copy reports and change them based on different scenarios. Limelight has been great as a replacement for Excel for forecasting and budgeting. We have many users updating their individual forecasts, which then get consolidated. Previously, we would have to manually consolidated many Excel workbooks. Now this is done automatically by Limelight. Limelight struggles with processing speed if you create more complex reports/templates. I've asked how to speed up reports and most of the response is to make them less complex or have less people using the templates, neither of which work well for us as a solution. The help desk response use to be much better in the past. They have struggled in this area recently.

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• dbt supports version control through GIT, this allows teams to collaborate and track the data transformation logic.
• dbt allows us to build data models which helps to break complex transformation logic into simple and smaller logic.
• dbt is completely based on SQL which allows data analyst and data engineers to build the transformation logic.
• dbt can be easily integrated with snowflake.

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• Agile reporting
• Collaborative forecasting and budgeting
• Up to date reporting with GL integration

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• Field-level lineage (currently at table level)
• Documentation inheritance - if a field is documented the downstream field of the same name could inherit the doc info
• Adding python model support (in beta now)

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• Complex template speed
• Customer service response - was good initially, but has become worse recently
• Formatting options in charts

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dbt is very easy to use. Basically if you can write SQL, you will be able to use dbt to get what you need done. Of course more advanced users with more technical skills can do more things.

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I actually don't know what the alternative to dbt is. I'm sure one must exist other than more 'roll your own' options like Apache Airflow, say, bu tin terms of super easy managed/cloud data transforms, dbt really does seem to be THE tool to use. It's $50/month per dev, BUT there's a FREE version for 1 dev seat with no read-only access for anyone else, so you can always start with that and then buy yourself a seat later.

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Felt modern. Liked how it was similar to Excel. Liked the flexibility.

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• Simplified our BI layer for faster load times
• Increased the quality of data reaching our end users
• Makes complex transformations manageable

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• Limelight has helped us increase the speed of our forecasting, budgeting, and reporting
• Limelight has helped us create models to look at many years in the future.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info