Azure Synapse Analytics vs. Treasure Data

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Synapse Analytics
Score 7.6 out of 10
N/A
Azure Synapse Analytics is described as the former Azure SQL Data Warehouse, evolved, and as a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives users the freedom to query data using either serverless or provisioned resources, at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.
$4,700
per month 5000 Synapse Commit Units (SCUs)
Treasure Data
Score 8.4 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
Azure Synapse AnalyticsTreasure Data
Editions & Modules
Tier 1
$4,700
per month 5,000 Synapse Commit Units (SCUs)
Tier 2
$9,200
per month 10,000 Synapse Commit Units (SCUs)
Tier 3
$21,360
per month 24,000 Synapse Commit Units (SCUs)
Tier 4
$50,400
per month 60,000 Synapse Commit Units (SCUs)
Tier 5
$117,000
per month 150,000 Synapse Commit Units (SCUs)
Tier 6
$259,200
per month 360,000 Synapse Commit Units (SCUs)
No answers on this topic
Offerings
Pricing Offerings
Azure Synapse AnalyticsTreasure Data
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
Azure Synapse AnalyticsTreasure Data
Top Pros
Top Cons
Best Alternatives
Azure Synapse AnalyticsTreasure Data
Small Businesses
Google BigQuery
Google BigQuery
Score 8.7 out of 10
SALESmanago
SALESmanago
Score 9.1 out of 10
Medium-sized Companies
Snowflake
Snowflake
Score 9.0 out of 10
SALESmanago
SALESmanago
Score 9.1 out of 10
Enterprises
Snowflake
Snowflake
Score 9.0 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
Azure Synapse AnalyticsTreasure Data
Likelihood to Recommend
8.2
(9 ratings)
9.0
(90 ratings)
Likelihood to Renew
-
(0 ratings)
9.1
(5 ratings)
Usability
9.6
(2 ratings)
8.0
(4 ratings)
Availability
-
(0 ratings)
9.1
(1 ratings)
Performance
-
(0 ratings)
8.2
(1 ratings)
Support Rating
9.6
(2 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)
Vendor post-sale
-
(0 ratings)
7.3
(2 ratings)
Vendor pre-sale
-
(0 ratings)
7.4
(2 ratings)
User Testimonials
Azure Synapse AnalyticsTreasure Data
Likelihood to Recommend
Microsoft
It's well suited for large, fastly growing, and frequently changing data warehouses (e.g., in startups). It's also suited for companies that want a single, relatively easy-to-use, centralized cloud service for all their data needs. Larger, more structured organizations could still benefit from this service by using Synapse Dedicated SQL Pools, knowing that costs will be much higher than other solutions. I think this product is not suited for smaller, simpler workloads (where an Azure SQL Database and a Data Factory could be enough) or very large scenarios, where it may be better to build custom infrastructure.
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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
Microsoft
  • Create data pipelines to connect with multiple data workspace(s) and external data
  • Ability to connect with Azure Data Lake (sequentially) for data warehousing
  • Being able to manage connections and create integration runtimes (for onPrem data capture)
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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.
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Cons
Microsoft
  • It takes some time to setup a proper SQL Datawarehouse architecture. Without proper SSIS/automation scripts, this can be a very daunting task.
  • It takes a lot of foresight when designing a Data Warehouse. If not properly designed, it can be very troublesome to use and/or modify later on.
  • It takes a lot of effort to maintain. Businesses are continually changing. With that, a full time staff member or more will be required to maintain the SQL Data Warehouse.
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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
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Likelihood to Renew
Microsoft
No answers on this topic
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.
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Usability
Microsoft
The data warehouse portion is very much like old style on-prem SQL server, so most SQL skills one has mastered carry over easily. Azure Data Factory has an easy drag and drop system which allows quick building of pipelines with minimal coding. The Spark portion is the only really complex portion, but if there's an in-house python expert, then the Spark portion is also quiet useable.
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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
Microsoft
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
Microsoft
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
Microsoft
Microsoft does its best to support Synapse. More and more articles are being added to the documentation, providing more useful information on best utilizing its features. The examples provided work well for basic knowledge, but more complex examples should be added to further assist in discovering the vast abilities that the system has.
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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
Microsoft
No answers on this topic
Treasure Data
I was not here when treasure data was implemented to our company.
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Online Training
Microsoft
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
Microsoft
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
Microsoft
When client is already having or using Azure then it’s wise to go with Synapse rather than using Snowflake. We got a lot of help from Microsoft consultants and Microsoft partners while implementing our EDW via Synapse and support is easily available via Microsoft resources and blogs. I don’t see that with Snowflake
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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
Microsoft
Basically, the billing is predictable, and this all about it.
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Treasure Data
No answers on this topic
Scalability
Microsoft
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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Return on Investment
Microsoft
  • We have had an improvement in our overall processing time
  • Cost was much lower than most of its competitors
  • Our reporting needs have grown and housing the data here has been great
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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.
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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