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Implemented A Data Lake Repository On The Treasure Data Platform
What do you like best about the product?
Very easy to get up to speed on the platform, the web interface was simple and easy to use and we were quickly able to leverage our teams existing SQL based skill set without having to know a ton about the underlying HDFS based platform Treasure Data sits on top of. Speed of development was great and built-in connectors for various cloud data sources and destinations were excellent. The ability to write directly to data sets for Tableau Online was a nice feature.
What do you dislike about the product?
The workflow scheduling piece, while very robust was still too code/script heavy for what other integration platforms do easily in a simple UI. The UI will need to improve here to accommodate all the underlying features and functionality that can be implemented via the scripting language. Updating data does not exist as part of the platform features so you just have to know what you want to use the platform for before implementation. This would be a nice feature enhancement.
What problems is the product solving and how is that benefiting you?
Time to market for getting data in the hands of users and easily integrating into other platforms to centralize this data in a single place was a huge win for us. The ability to then query across data sets from different source systems at a large scale was great. The performance on very large data sets (billions of rows) was pretty good as well.
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Do it – Find the Treasure in your Data
What do you like best about the product?
I like the ease and simplicity of storing and accessing vast amounts of data.
What do you dislike about the product?
There's not much to dislike. Only criticism I can offer would be that Presto is often a version or two behind, but that's largely due to how fast the Presto community is developing.
What problems is the product solving and how is that benefiting you?
We're using Treasure Data to store inconceivable amounts of data and building near real time reporting to influence the decision making for our business and our customers. We've been able to offload the massive overhead of data management and focus squarely on our reporting needs.
Recommendations to others considering the product:
Treasure Data is well suited for anyone looking for a managed solution for dealing with massive amounts of data. Trying to roll your own Hadoop/Presto farm takes lots of time and resources, so leveraging a firm who deal with these sorts of things is a no-brainer.
Treasure Data provides a great service for startups with lots of data and analytical needs.
What do you like best about the product?
Having a SaaS distributed analytic engine like Presto available for an affordable price.
What do you dislike about the product?
Sometimes the interface can be a bit confusing. The user roles system is a bit messy.
What problems is the product solving and how is that benefiting you?
We have many disparate data sources that we're working with to bring data together to inform better business decisions. The Presto engine has allowed us to automate some pretty intense data queries.
Recommendations to others considering the product:
Ensure you understand how their data structures work and that they align with your needs.
Treasure your Data - like Treasure Data
What do you like best about the product?
The team at Treasure Data is incredibly responsive to requests and provides expert advice on how best to leverage their product/service offering, making the implementation smooth.
What do you dislike about the product?
It would be quite helpful if a request could be prioritized; API requests stay at the front of the queue while web UI requests can be pushed back.
What problems is the product solving and how is that benefiting you?
We leverage Treasure Data to store large volumes of unstructured data. Using a provider to handle this peice of infrastructure allows our engineers to focus on improving our product offerings instead.
CTO/CIO Private Equity
What do you like best about the product?
The main reason we looked into Treasure Data was it's ability to handle extremely large amounts of data well. After speaking with their head of engineering and architecture, I was amazing as to how much knowledge they had regarding the technical capabilities of the TD system.
What do you dislike about the product?
At this time, the only thing that we wish we could have with TD is more flexibility with AWS.
What problems is the product solving and how is that benefiting you?
We had a unique problem where we were trying to find a solution which could handle approximately 1M columns and 100B rows of data and TD can handle this.
Great Service
What do you like best about the product?
Abstracts out all the complexities of maintaining a data warehouse and makes it easy for any developer to conduct data analysis.
What do you dislike about the product?
Queries can sometimes be too slow, and sometimes there is lack of transparency about issues going on that may result in slow performance.
What problems is the product solving and how is that benefiting you?
We use it as a data warehouse for all of our data needs such as product feature analysis. We have been able to conduct rapid prototyping and A/B testing powered by TD.
Easy access to cloud data
What do you like best about the product?
Simple, easy to ingest, access, and distribute data. Tasks that would take multiple engineers have been condensed into one, easy to use service. On top of that, support has been amazing in the 2 years we've been using Treasure Data.
What do you dislike about the product?
Not all third parties are supported, for both ingestion and output. Not a deal-breaker and the TD has been receptive to feedback.
What problems is the product solving and how is that benefiting you?
We use Treasure Data as our data lake. One access point to capture all of our log data has been the biggest benefit. The access to that data via hive/presto has proven to be a huge benefit that we didn't anticipate at the time.
Treasuring your data without much hassle
What do you like best about the product?
Data ingestion setup can be done by the analysts themselves without troubling the engineers too much. It forms independent data analysts and fasten our project timeline.
Having knowledge on SQL query is sufficient to create ETL job, and it doesn't require steep learning curve.
Having knowledge on SQL query is sufficient to create ETL job, and it doesn't require steep learning curve.
What do you dislike about the product?
We still find inconvenience on implementing Treasure Workflow, since at the time we assessed it, we could not define the session schedule time parameter on the config - the value follows the default value at 00:00:00 UTC except we run it manually via CLI and add the parameter. Other than that, we find Treasure Data really useful.
What problems is the product solving and how is that benefiting you?
Data integration from various sources, creating master data warehouses and data marts for business users
Recommendations to others considering the product:
Treasure Data allows your team to integrate data from various source, thus make it easier for analyst to work independently without troubling the engineers.
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