Apache Hive vs. Treasure Data

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Hive
Score 8.2 out of 10
N/A
Apache Hive is database/data warehouse software that supports data querying and analysis of large datasets stored in the Hadoop distributed file system (HDFS) and other compatible systems, and is distributed under an open source license.N/A
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
Apache HiveTreasure Data
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache HiveTreasure 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
Apache HiveTreasure Data
Considered Both Products
Apache Hive

No answer on this topic

Treasure Data
Chose Treasure Data
We still use all of the above. They are part of an ecosystem of data software products and each of them has its own purpose. As I mentioned before, easiness of "writes" to TD and the capability of querying vast amounts of data in a reasonable time are a reason we will not be …
Chose Treasure Data
this was the first Cloud analytics solution I have worked with. I have chosen it because development team is using FluentD internally, and also because at the time the Business decided not to use AWS because of what our particular business model was at the time (deals against …
Chose Treasure Data
I am not the one who evaluated each product candidates, but these are the reasons I know:
- Treasure Data has more third party data connectors
- it can be connected to some BI Tools (e.g. Redash, Domo)
Top Pros
Top Cons
Best Alternatives
Apache HiveTreasure Data
Small Businesses
Google BigQuery
Google BigQuery
Score 8.6 out of 10
Klaviyo
Klaviyo
Score 8.9 out of 10
Medium-sized Companies
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
SALESmanago
SALESmanago
Score 8.8 out of 10
Enterprises
Oracle Exadata
Oracle Exadata
Score 8.2 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
Apache HiveTreasure Data
Likelihood to Recommend
8.0
(35 ratings)
9.0
(90 ratings)
Likelihood to Renew
10.0
(1 ratings)
9.1
(5 ratings)
Usability
8.5
(7 ratings)
8.0
(4 ratings)
Availability
-
(0 ratings)
9.1
(1 ratings)
Performance
-
(0 ratings)
8.2
(1 ratings)
Support Rating
7.0
(6 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)
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
Apache HiveTreasure Data
Likelihood to Recommend
Apache
Software work execution is on a large scale, it is good to use for new projects or organizational changes, data lineage mapping has always been dubious but this one has had good results. You can store and synchronize data from different departments, the storage process can be manual but it is best automated.
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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
Apache
  • Apache Hive allows use to write expressive solutions to complex problems thanks to its SQL-like syntax.
  • Relatively easy to set up and start using.
  • Very little ramp-up to start using the actual product, documentation is very thorough, there is an active community, and the code base is constantly being improved.
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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
Apache
  • Some queries, particularly complex joins, are still quite slow and can take hours
  • Previous jobs and queries are not stored sometimes
  • Switching to Impala can sometimes be time-consuming (i.e. the system hangs, or is slow to respond).
  • Sometimes, directories and tables don't load properly which causes confusion
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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
Apache
Since I do not know the second data warehouse solution that integrate with HDFS as well as Hive.
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.
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Usability
Apache
Hive is a very good big data analysis and ad-hoc query platform, which supports scaling also. The BI processes can be easily integrated with Hadoop via the Hive. It can deal with a much larger data set that traditional RDBMS can not. It is a "must-have" component of the big data domain.
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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
Apache
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
Apache
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
Apache
Apache Hive is a FOSS project and its open source. We need not definitely comment on anything about the support of open source and its developer community. But, it has got tremendous developer support, awesome documentation. I would justify the fact that much support can be gathered from the community backup.
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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
Apache
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
Apache
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
Apache
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
Apache
Besides Hive, I have used Google BigQuery, which is costly but have very high computation speed. Amazon Redshift is the another product, I used in my recent organisation. Both Redshift and BigQuery are managed solution whereas Hive needs to be managed
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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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Scalability
Apache
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
Apache
  • Apache hive is secured and scalable solution that helps in increasing the overall organization productivity.
  • Apache hive can handle and process large amount of data in a sufficient time manner.
  • It simplifies writing SQL queries, hence helping the organization as most companies use SQL for all query jobs.
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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