Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google BigQuery
Score 8.6 out of 10
N/A
Google's BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data.
$0
per month
Treasure Data
Score 8.3 out of 10
Mid-Size Companies (51-1,000 employees)
Treasure Data is an enterprise customer data platform (CDP) that powers the entire business to reclaim 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 that drive value and protect privacy for every customer, every time. According to the vendor, Treasure Data serves customers globally across a broad base of industries that…N/A
Pricing
Google BigQueryTreasure Data
Editions & Modules
Standard edition
$0.04 / slot hour
Enterprise edition
$0.06 / slot hour
Enterprise Plus edition
$0.10 / slot hour
No answers on this topic
Offerings
Pricing Offerings
Google BigQueryTreasure Data
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
Google BigQueryTreasure Data
Considered Both Products
Google BigQuery
Chose Google BigQuery
Treasure Data is more for the marketer rather than a developer audience, so depending on who your main users will be for the machine learning you can decide which tool is better. In our case we went with Treasure Data because it was more for a marketer and less for the …
Treasure Data
Chose Treasure Data
While Google BigQuery is an excellent data warehouse, it does not have all of the functionality of Treasure Data. Treasure Data's components make unifying and activating segments much easier.
Chose Treasure Data
In terms of query speed and performance, Google BigQuery and Snowflake offer better performance at a lower cost. BigQuery's pricing on just the data scanned rather than cost of computation is far more attractive than Treasure Data's current model. We've selected Treasure Data …
Chose Treasure Data
There is a limited amount of human resource in the market who has knowledge in CDP. Treasure Data is simple and easy to navigate so that a newbie might find it easy to grasp its working concepts and initiate performing on the same. Whereas Tealium is more suited for a person …
Chose Treasure Data
- Treasure Data can handle much bigger dataset than Redshift
- Bigquery provides a much better experience and scales much better
Chose Treasure Data
TD can definitely use some one of functionality like adding incremental data feature or creating store procedures
Chose Treasure Data
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.
Top Pros
Top Cons
Features
Google BigQueryTreasure Data
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Google BigQuery
8.5
51 Ratings
3% below category average
Treasure Data
-
Ratings
Automatic software patching8.117 Ratings00 Ratings
Database scalability8.851 Ratings00 Ratings
Automated backups8.524 Ratings00 Ratings
Database security provisions8.844 Ratings00 Ratings
Monitoring and metrics8.546 Ratings00 Ratings
Automatic host deployment8.113 Ratings00 Ratings
Best Alternatives
Google BigQueryTreasure Data
Small Businesses
SingleStore
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Score 9.7 out of 10
Klaviyo
Klaviyo
Score 8.9 out of 10
Medium-sized Companies
SingleStore
SingleStore
Score 9.7 out of 10
SALESmanago
SALESmanago
Score 8.9 out of 10
Enterprises
SingleStore
SingleStore
Score 9.7 out of 10
Tealium Customer Data Hub
Tealium Customer Data Hub
Score 8.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Google BigQueryTreasure Data
Likelihood to Recommend
8.6
(51 ratings)
9.0
(90 ratings)
Likelihood to Renew
7.0
(1 ratings)
9.1
(5 ratings)
Usability
9.4
(3 ratings)
8.0
(4 ratings)
Availability
-
(0 ratings)
9.1
(1 ratings)
Performance
-
(0 ratings)
8.2
(1 ratings)
Support Rating
10.0
(9 ratings)
8.2
(7 ratings)
In-Person Training
-
(0 ratings)
6.4
(1 ratings)
Online Training
-
(0 ratings)
7.3
(1 ratings)
Implementation Rating
-
(0 ratings)
6.4
(2 ratings)
Configurability
-
(0 ratings)
7.3
(1 ratings)
Contract Terms and Pricing Model
10.0
(1 ratings)
-
(0 ratings)
Ease of integration
-
(0 ratings)
9.1
(1 ratings)
Product Scalability
-
(0 ratings)
9.1
(1 ratings)
Professional Services
8.2
(2 ratings)
-
(0 ratings)
Vendor post-sale
-
(0 ratings)
7.3
(2 ratings)
Vendor pre-sale
-
(0 ratings)
7.4
(2 ratings)
User Testimonials
Google BigQueryTreasure Data
Likelihood to Recommend
Google
For organizations looking to avoid the overhead of managing infrastructure, BigQuery's server-less architecture allows teams to focus on analyzing data without worrying about server maintenance or capacity planning. Small projects or startups with limited data analysis needs and tight budgets might find other solutions more cost-effective. Also, it is not suitable for OLTP systems.
Read full review
Treasure Data
Treasure Data is well suited to integrating multiple data sources, including online and digital sources. It is also well suited to trigger audience activations to known customers based on their online activity, integrating 3rd party data, and activating target audiences to ad platforms.
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Pros
Google
  • Its serverless architecture and underlying Dremel technology are incredibly fast even on complex datasets. I can get answers to my questions almost instantly, without waiting hours for traditional data warehouses to churn through the data.
  • Previously, our data was scattered across various databases and spreadsheets and getting a holistic view was pretty difficult. Google BigQuery acts as a central repository and consolidates everything in one place to join data sets and find hidden patterns.
  • Running reports on our old systems used to take forever. Google BigQuery's crazy fast query speed lets us get insights from massive datasets in seconds.
Read full review
Treasure Data
  • 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.
Read full review
Cons
Google
  • Can't use it out of Google's cloud platform which is a minus point if you want a local setup.
  • Can be a little expensive to manage.
  • A little difficult to manage someone with less technical expertise as it requires you to have SQL knowledge of joins, CTEs etc.
Read full review
Treasure Data
  • Documentation is not always fully update --> better off reaching to support for some topics that are not covered
  • Small bugs on the graphical user interface
  • If 2 people are editing on the same project simultaneously, the latter that saves the workflow overwrites the changes of the former one
Read full review
Likelihood to Renew
Google
We have to use this product as its a 3rd party supplier choice to utilise this product for their data side backend so will not be likely we will move away from this product in the future unless the 3rd party supplier decides to change data vendors.
Read full review
Treasure Data
I do think that we definitely will be renewing. We are putting major resources, time, and effort into Treasure Data becoming an extension of our organization, in many ways. We are working toward complete synergies with this product and leadership is very excited about the direction we are heading to be completely customer-centric.
Read full review
Usability
Google
web UI is easy and convenient. Many RDBMS clients such as aqua data studio, Dbeaver data grid, and others connect. Range of well-documented APIs available. The range of features keeps expanding, increasing similar features to traditional RDBMS such as Oracle and DB2
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Treasure Data
It's a easy platform to use and give the user detailed logs about what is going on in the workflows, so someone that do not have a lot of experience can start to work with it. And also the master segment usability is awesome, as we can filter a lot of data the way we want.
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Reliability and Availability
Google
No answers on this topic
Treasure Data
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
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Performance
Google
No answers on this topic
Treasure Data
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.
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Support Rating
Google
BigQuery can be difficult to support because it is so solid as a product. Many of the issues you will see are related to your own data sets, however you may see issues importing data and managing jobs. If this occurs, it can be a challenge to get to speak to the correct person who can help you.
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Treasure Data
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.
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In-Person Training
Google
No answers on this topic
Treasure Data
I was not here when treasure data was implemented to our company.
Read full review
Online Training
Google
No answers on this topic
Treasure Data
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.
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Implementation Rating
Google
No answers on this topic
Treasure Data
Implementation was quick and our developers had very few issues with the SDK.
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Alternatives Considered
Google
Google's Firebase isn't a competitor but we had to use Google's BigQuery because Google's Firebase's database is limited compared to Google's BigQuery. Linking your Firebase project to BigQuery lets you access your raw, unsampled event data along with all of your parameters and user properties. Highly recommend connecting the two if you have a mobile app.
Read full review
Treasure Data
We chose Treasure Data for the supreme customer service and lack of hidden costs. We don't need to manage any infrastructure or scale anything to meet customer demand. Treasure Data handles everything and makes it easy for us to integrate and focus on the tasks at hand. There may be cheaper options but we do not regret our decision to go with Treasure Data one bit.
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Contract Terms and Pricing Model
Google
None so far. Very satisfied with the transparency on contract terms and pricing model.
Read full review
Treasure Data
No answers on this topic
Scalability
Google
No answers on this topic
Treasure Data
In abi we do have a lot of data coming every day, so treasure data always give us god solutions and options that would fix the problem.
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Professional Services
Google
Google Support has kindly provide individual support and consultants to assist with the integration work. In the circumstance where the consultants are not present to support with the work, Google Support Helpline will always be available to answer to the queries without having to wait for more than 3 days.
Read full review
Treasure Data
No answers on this topic
Return on Investment
Google
  • Google BigQuery has had enormous impact in terms of ROI to our business, as it has allowed us to ease our dependence on our physical servers, which we pay for monthly from another hosting service. We have been able to run multiple enterprise scale data processing applications with almost no investment
  • Since our business is highly client focused, Google Cloud Platform, and BigQuery specifically, has allowed us to get very granular in how our usage should be attributed to different projects, clients, and teams.
  • Plain and simple, I believe the meager investments that we have made in Google BigQuery have paid themselves back hundreds of times over.
Read full review
Treasure Data
  • We have built and supported our source of truth data tables using Treasure. This forms the foundation of our decision making.
  • Most of our Tableau data sources are created using a Treasure Data export which is executed by workflows on a daily basis which allows us to have visibility into day to day performance and communicate them to a wide variety of roles.
  • We load custom data into our Salesforce instance which allows us to trigger certain workflows and build accountability - i.e. a "Sale" will only count once a certain product driven event occurs which comes from data we pipe into Treasure and then into Salesforce.
Read full review
ScreenShots

Treasure Data Screenshots

Screenshot of Out of the box integrations across advertising, CRM, databases, eCommerce, machine learning and more.Screenshot of Powerful query toolsScreenshot of Fast and easy audience builder