1. Home
  2. Customer Data Platforms (CDP)
  3. Treasure Data Reviews
  4. User Review of Treasure Data
Treasure Data: Data infrastructure as a Service
November 01, 2017

Treasure Data: Data infrastructure as a Service

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Treasure Data

We are e-commerce startup without a data engineer. It's quite hard to find a good one and it also takes time to set up the infrastructure ourselves. However, the urgency of processing data is critical for us. We spend a lot on paid e-marketing and we need a way to measure the ROI daily.

Using Treasure Data, we started fast. We could track all user actions and which paid channel the users come from just by using Treasure Data's JS library. Since Treasure Data also has a connector to Postgres (our transaction DB), Facebook Ads, and Google Ads, data ingestion becomes much easier. Moreover, since Treasure Data already has a cron scheduler, we can easily run the queries (we have over hundreds Treasure Data queries) repetitively. The output is fed to Periscope data to be visualized and accessible across the organization any time. Now, all decision-makers in our company monitor the dashboard and make decisions based on it.

Yet, all that is done only by 2 data analyst and no data engineers.
  • Data engineering as a service. It's like PaaS but for data infrastructure.
  • Rich end-points. Almost all major services are connected to Treasure Data.
  • Easy to use the web UI, yet feature rich.
  • Pricing, a bit too expensive. Also hoping more flexible pricing plans
  • We cut down the spending on paid marketing, yet our earnings didn't decrease. Thanks to the ROI calculated daily by Treasure Data.
  • We managed to make the company data-oriented.
  • JOIN-ing the spending on FB & Google ads with the transaction data. Then, the ROI is derived for each campaigns. By having this data, we could cut not-so-well-performed campaign and spend more budget on higher-ROI campaign
  • A/B Testing. We just put TD Javascript and store the A/B testing result in TD
  • Google Big Query and Amazon Athena
In Treasure Data, everything is managed. While in the other products, we need to set up and maintain it ourselves. None of them provide an all-in-one data platform like Treasure Data.
Treasure Data is well suited if your company wants to move fast (is data-oriented), without having to worry about data infrastructure. How much time and cost would be needed for planning, development, tweaking, and maintenance if you consider implementing it by yourself? Consider the opportunity costs as well.

However, Treasure Data is not really suitable if you do need to build a complex data infrastructure. If your company is familiar - and willing to set up Kafka, Spark, Hadoop, Apache Beam, HBase, Presto, etc., Treasure Data is not suitable for you.