Treasure Data

Treasure Data

(19)
4.3 out of 5 stars

Analytics Infrastructure. Simplified in the Cloud.

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Showing 19 Treasure Data reviews
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Treasure Data review by <span>Drew J.</span>
Drew J.
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Taking our data platform to the next level!

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What do you like best?

1. API/Connectors to a number of different business systems

2. Easy to use analytical database

3. Great customer support (direct chat, etc.)

What do you dislike?

Does not integrate directly with our BI system (Looker) yet

What business problems are you solving with the product? What benefits have you realized?

Treasure Data is being used as an ETL platform and analytical database across the organization at Silvercar. Treasure Data supports three different business units within the company (our B2C airport car rental business, our B2B dealership hardware/software business and our B2B2C corporate product). At Silvercar we use Treasure Data to ingest data directly from our business systems (GA, AppAnnie, Salesforce, NetSuite, JIRA, etc.) and internal databases (MySQL) to create a data lake and run all our data transformation jobs accordingly. We also use Treasure Data as an analytical database to process our largest jobs.

We choose to use Treasure Data for this process because we can create, manage and schedule these jobs without the need for a data engineer or developer to create these custom scripts for us.

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Response from Sarah Battaglia of Treasure Data

Thank you, Drew, for your review!

It's a pleasure working with you, and always great to hear your feedback, whether it be here or during our regular sync calls. Love that you're seeing such value out of TD! As you know, we're working diligently with Looker to enhance our integration for a more seamless experience. I know you know this, but as always, should there be anything that we can do to to improve your experience with TD, please do not hesitate to reach out.

Cheers,

Sarah

Sarah N Battaglia, Director of Customer Success

sarah@treasure-data.com | www.treasuredata.com

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Treasure Data review by <span>Giacomo V.</span>
Giacomo V.
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What do you like best?

Flexible schema on read data storage, quick and robust data ingestion with fluentD and embulk, integratjons with data science tools such as R and Python Pandas, Presto and Hive support and Google tag manager integration to track users behaviour. Great support.

What do you dislike?

Limited support with Python Luigi workflow magement solution, although they offer alternative solution called dig dag which might be even better. Admin dashboard could be improved to see data limits based on existing contract so that you can manage better data ingestion and avoid going above limit. More concrete business cases and mkre technical examples on how to design pipelines in hive or presto would be useful.

What business problems are you solving with the product? What benefits have you realized?

Big Data pipeline to get insight for the business and generate report in Shiny.

Storing unstructured data which are then pulled using Python Pandas to train and test machine learning solutions used in the company.

Treasure data Google tag manager integration to build marketing attribution models and support product analytics.

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Treasure Data review by <span>Chikashi K.</span>
Chikashi K.
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Verified Current User
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Comprehensive data analytics platform

Updated On
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What do you like best?

Treasure Data is packaging several powerful open source software very well and providing it with amazing customer support. Their product is easy to use and almost maintenance free, but if I have a problem, their customer support helps me to solve the problem almost 24/7.

What do you dislike?

Since their product is open-source based, their documentation is old or incomplete often times. Also, they are upgrading their system very frequently, but not providing the release note each time. It's fine as long as their change doesn't cause any issues, but once it causes an issue, it's very frustrating to figure out the root cause of the issue without the release note.

Recommendations to others considering the product

Treasure Data is very powerful data analytics platform which is coming with a comprehensive toolset such as data connector, bulk importer, and workflow engine. Also, their customer support is amazing. I highly recommend it!

What business problems are you solving with the product? What benefits have you realized?

We hit the capacity limit of the relational database and migrated our data analytics platform to Treasure Data. Since Treasure Data is providing tons of data connectors, the migration was smooth. Also, it's super easy to feed more data from 3rd party software such as Zendesk to Treasure Data.

We don't have to have a dedicated data engineer in Analytics team because Treasure Data is almost maintenance free.

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Treasure Data review by <span>Kevin F.</span>
Kevin F.
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Do it – Find the Treasure in your Data

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What do you like best?

I like the ease and simplicity of storing and accessing vast amounts of data.

What do you dislike?

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.

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.

What business problems are you solving with the product? What benefits have you realized?

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.

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Treasure Data review by User in Computer Software
User in Computer Software
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Treasure Data Review

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What do you like best?

It saves queries so they can be reused in the future.. The API is pretty fast when downloading relatively sizeable amounts of data.

What do you dislike?

When I'm inspecting a table, and I want to query it, the UI forces me to go through an unnatural path. There should be a button to query a table from the table page (maybe writing a SELECT * FROM table ?).

When I download data through the API, there should be a way to get the names of the columns that are being pulled. In some instances, the tuples have 100+ items, and I've had to download the query in a different way just to get the names of the columns and paste them in the interpreter to build a "dictionary" between indices and columns

What business problems are you solving with the product? What benefits have you realized?

It's our main source for logging. It is also the intermediate step between our production DB and the DB that our less technical users have access to.

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Treasure Data review by <span>Mike G.</span>
Mike G.
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What do you like best?

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?

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 business problems are you solving with the product? What benefits have you realized?

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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