Comprehensive data analytics platform coming with a great customer support
Updated September 13, 2017

Comprehensive data analytics platform coming with a great customer support

Chikashi Kato | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Treasure Data

We are using Treasure Data as our main data analysis platform and its main users are Analytics team and Engineering team. We are actively using it for large data analysis such as traffic log analysis of our web site. It helps us to understand customers' needs based on the data in order to provide a better user experience.
  • Treasure Data provides a comprehensive tool set necessary for the big data analysis such as a bulk data loader, data import/export connectors and a workflow engine along with powerful SQL based query engine (Presto).
  • Treasure Data's support is amazing. They provided us the initial setup support as well as conducted the user training sessions. Also, their support engineers are almost always online and super responsive for any type of questions.
  • Since Treasure Data is a managed service, we don't have to worry about the maintenance much. They keep their system up-to-date and make it accessible 24/7 for you. So we can focus on the analysis.
  • Since Treasure Data's product is mainly open source based, it's updated very frequently. So, Treasure Data's documentation was outdated from time to time. It would be great if they can keep their documentation fresh and accurate.
  • This is also related to Treasure Data's frequent update, but they are not providing a release note for each new release. They only provide a release note about the high-level updates happened in the past month. Most of the time, it's not a big issue. But when their update breaks our existing functionalities, it's pretty annoying to find out the root cause of the issue because we cannot know which modules are updated.
  • Treasure Data has a bunch of functionalities, but not all of them have many users. So, when you use their unpopular functionalities, you might face some weird bugs or performance issues and need to work with their support engineers to find out solutions. Basically, they are addressing the issues very quickly, though.
  • Treasure Data allows our data analysts to compute a huge size of the data set which they couldn't handle on the relational database previously and accomplish more complicated data analysis. It helps our executives and product teams make a decision more confidently based on the result of the analysis.
  • Since Treasure Data is a managed service, we can focus on the data analysis. We have more than 100 tables updated daily basis on Treasure Data but still, we don't need a dedicated data engineer for the maintenance. It's a huge cost saving.
  • Treasure Data's support engineers are very knowledgeable and supportive. When our queries don't perform well, we always ask them to give us suggestions for optimizing the queries. One day, they improved the processing time of a query from 3 hours to 1 min. It was a mind blowing experience for us. Being able to access to their knowledgeable engineers are invaluable.
Since Treasure Data is designed to process a large amount of the time series data, it works very well for analyzing system logs such as web servers' access log. But if the data is very sparse or not the time series data, Treasure Data cannot fully provide an expected performance.

Treasure Data allows us to import the data from multiple sources very easily through their variety of data connectors. This is very helpful for analyzing the correlation between the data of isolated systems (e.g. connecting Amplitude's data to Zendesk's data). However, if the data source provides denormalized data (e.g Array of the data or JSON string), you need to spend extra effort to parse it.