Hull CDP was a real-time rule and action engine that provided SaaS and Ecommerce businesses with more control over their customer data. Hull was acquired by MessageBird in April, 2021, and is no longer available.
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Treasure Data
Score 9.0 out of 10
Mid-Size Companies (51-1,000 employees)
Treasure Data is an enterprise customer data platform (CDP) that reclaims customer-centricity in the age of the digital customer. It does this by connecting all data and uniting teams and systems into one customer data platform to power purposeful engagements.
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Pricing
Hull CDP (discontinued)
Treasure Data
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Hull CDP (discontinued)
Treasure Data
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
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More Pricing Information
Community Pulse
Hull CDP (discontinued)
Treasure Data
Best Alternatives
Hull CDP (discontinued)
Treasure Data
Small Businesses
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Score 8.6 out of 10
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Medium-sized Companies
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Enterprises
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If you are a fast scaling team using segment and slack, Hull is a must. For your sales reps trying to understand the activity of customers/prospects/users of your applicaiton, there is no easier way to surface that information than using Hull. We've been thoroughly impressed by the wide use cases and integrations Hull can offer and we use it many times a day. 100% would recommend this tool
Any time you need to process and store very large volumes of data at scale, Treasure Data will aways be at the forefront of my mind. Especially if the data being handled is constantly changing or evolving, rigid schemas just wont do. Treasure Data has the ability to adapt as your product needs change over time. Having the storage and processing flexibility is a huge win.
Good fit for our SME marketing/ Sales Tech stack. Integrations like HubSpot and Clearbit are native and easy to use within Hull- and it was one of the only providers that fit that criteria when we were vetting options.
Ease of Use. Hull is fairly intuitive for a casual user. The only real questions that came up for us were doing the data-mapping phase when we mapped fields against Hull.
No database to maintain. A critical selling point for us, and something which has freed up a fair amount of engineering time on an ongoing basis has been that Hull, unlike Segment, didn't require us to maintain a database.
CDP provides a unified view of data from all touchpoints in the customer journey until a single customer uses the service. This feature is very helpful in making service decisions and direction.
It provides a variety of extensions to bring your data together in one place and helps you do this easily.
Kits provided by Treasure Box provide basic but helpful methods for further development of services.
I am not sure about new features, if they are rolling out or what!
It might also be valuable to see the responsiveness of things triggered through Hull, sometimes data takes a bit longer than expected to trigger a workflow (but never really more than a minute so not a huge deal really...)
Pricing is a bit of a black box. We are currently priced on split hour usage and some spikes come out of nowhere and leave us seeking answers (and sometimes finding unsatisfactory ones).
Some jobs will fail, causing workflows to be interrupted due to a product change or a one-time product related issue. We usually contact Support in these cases, and while they are incredibly responsive and helpful, it would be great to have more proactive communication.
Treasure's UI leaves us wanting more in terms of organization and controls, especially as we scale and grow the number of data sources, queries, and workflows.
Because treasure data is a great platform with a great support team behind, it's a scalable solution that deals well with huge amounts of data every day and has a huge catalog of integrations that can be easily use to download data from several platforms, like aws s3, redshift, google bigquery.
If you are a data person, you will likely understand the product and how to use it well. We did find that some of our queries run into memory issues though. If you are a marketer and want to build easy audience segments, I am not sure how easy it will be for you. We are still working through this.
As treasure data has a 24 hours support, every time we has big issues that impacts the zones, we do have immediatly support from the treasure data team, so I would say that we do not have any issues with availability
Since treasure data has started having a huge amount of data, sometimes we do have problems with the workflows logs because we generate a lot of then. But with integrations I have not to complain, its really easy to integrate with other platforms.
The technical team has a good hold on the nuances of the data related to our organization. I have found the online technical support on their site quite responsive including the L1 support. In cases where the L1 team isn't able to resolve, I have found they are prompt in getting the product team's input to get a quick resolution.
I wasnt here at the training in the start, but I had a few training with treasure data for a few functionalities, and they provided me god explanations and great documentations, eve if the project were in beta.
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
Both Tealium and Evergage are mostly focused on online sources. They don't have as easy or robust data model capability to ingest CRM, e-commerce, or offline data. Bluevenn has good identity resolution like TD, but the Unify data processes/model are not exposed to the customer to modify or develop data load workflows.
When there are Treasure Data updates, there might be old functions that are deprecated or existing functions which no longer work as before --> this may have impact on existing workflows/queries
As many developers are working on the same environment, the jobs are queued because there is a limited amount of computation cores available --> if we want to increase it, our client needs to pay for more cores
As data are increasing, some workflows are too expensive and need to be rethought / made more efficient --> this means re-designing existing workflows and also requires constant support from Treasure Data which analyzes the queries and identifies points of improvement that allows client to pay less
