Coginiti vs. Hull CDP (discontinued)

Aginity is able to track productivity which has been helping us be able to determine areas that need improvement. we have found agility very user-friendly in terms of ease of scalability. moreover, its ability to reuse SQL has saved us a lot of time because we do not have to re-code SQL.

Incentivized

Hull is definitely the leading CDP for the small to mid-sized business in which the marketing team wants or needs to have a fair amount of autonomy from engineering, or when it's unrealistic or cost-prohibitive to use internal engineering resources to maintain the marketing database. It's also a great choice for companies who are trying to bring newer and smaller best-of-breed elements into place in their marketing--enabling you to sync customer data records to CTAs/ Chat scenarios/ Email Service Providers, or any type of 3rd party campaign tools. It's probably not the best fit for companies trying to stay in a larger Marketing Cloud Ecosystem, e.g. Adobe/ Oracle.

Incentivized

• Query auto-completion
• Database exploration including schemas, tables, columns, distribution keys, sort keys, etc.
• Common scenario query samples, and easy access to table DDL
• Table size operational report
• Free community edition

Incentivized

• Slack integration - we revolve around slack as our central comm hub and having our customer information surfaceable is just gold.
• Making back-end data easy to read and digest - there is a lot of data that gets generated by our customers and it's impossible to sift through without Hull consolidating that information for us.
• Customer support - we have only had a couple issues in the many months using Hull and it's always been a quick resolution. They use Slack to support BTW which I love.

Incentivized

• For one, I don't like how the parenthesis are automatically created as a set. Often times I only need to type one part of the parenthesis, but it creates a set of ( and ), forcing me to delete them because I didn't need the other half at where my cursor was. Same goes with any other sort of characters, such as ' '. I understand that it's suppose to be smart, but more often than not, it's causing more inconvenience and wasting more time, than actually saving time simply because it types an extra ) or ' for me.
• The error message and the log. I would think there probably is a log somewhere, but the fact that I've been using Aginity for close to a year now, and I still haven't found something similar to a log, is saying something about this feature. A log is like a standard thing nowadays, for running codes, to check against what has happened with the code, and for debugging what you have done wrong within the code. It also contains error messages, and help you troubleshoot with a clearer picture. The error message display current is very small and hard to read, sometimes the error message itself is not as easy to understand either. I use SAS on a daily basis as well, I feel like SAS has done a way better job on this issue, than Aginity.

Incentivized

• Needs a deduplication engine
• Needs to be able to perform bulk and automated data cleansing (unified data is messy)
• Needs to integrate with more tools
• Needs to be able to be tailored to different use cases, such as a retail/ecommerce use case, with RFM metrics

Incentivized

Aginity offers the best tools for data research, which are easy to use and customize. Unlike Aginity, AdvancedMiner wasn't only hard to deploy but also was highly-priced.

Incentivized

We had initially identified Segment as a solution due to the number of integrations they supported. The problem is that with Segment we would have still had to build and maintain a database along with query tools. Overall Hull emerged as a better starting point for us

Incentivized

• The tool helped us to implement all Supply Chain and Retail data into the DWH
• The tool allowed us to control ETL and reporting access, monitor them, and prioritize user's access
• If you do not use the tool in the correct way, the risk is to delete some business information

Incentivized

• Positive: No longer asking engineering for customer activity data
• Positive: Allowing additional data integrations for where our customer activity data can be seen

Incentivized