1010data vs. Presto

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
1010data
Score 8.4 out of 10
N/A
N/AN/A
Presto
Score 2.9 out of 10
N/A
Presto is an open source SQL query engine designed to run queries on data stored in Hadoop or in traditional databases. Teradata supported development of Presto followed the acquisition of Hadapt and Revelytix.N/A
Pricing
1010dataPresto
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
1010dataPresto
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Best Alternatives
1010dataPresto
Small Businesses
Google BigQuery
Google BigQuery
Score 8.6 out of 10
SingleStore
SingleStore
Score 9.7 out of 10
Medium-sized Companies
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
SingleStore
SingleStore
Score 9.7 out of 10
Enterprises
Oracle Exadata
Oracle Exadata
Score 8.2 out of 10
SingleStore
SingleStore
Score 9.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
1010dataPresto
Likelihood to Recommend
10.0
(2 ratings)
7.8
(2 ratings)
Usability
8.0
(1 ratings)
-
(0 ratings)
User Testimonials
1010dataPresto
Likelihood to Recommend
1010data
The software is excellent for any application which is too large for Excel. The visual interface surpasses that of most SQL platforms. It is quite useful for data mining in an exploratory way but less useful in statistical and regression analysis.
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Open Source
Presto is for interactive simple queries, where Hive is for reliable processing. If you have a fact-dim join, presto is great..however for fact-fact joins presto is not the solution.. Presto is a great replacement for proprietary technology like Vertica
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Pros
1010data
  • To "pool" their data for market analysis
  • Very large data analysis
  • Performance and scalability
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Open Source
  • Linking, embedding links and adding images is easy enough.
  • Once you have become familiar with the interface, Presto becomes very quick & easy to use (but, you have to practice & repeat to know what you are doing - it is not as intuitive as one would hope).
  • Organizing & design is fairly simple with click & drag parameters.
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Cons
1010data
  • The ten.do interface could use more detailed documentation
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Open Source
  • Presto was not designed for large fact fact joins. This is by design as presto does not leverage disk and used memory for processing which in turn makes it fast.. However, this is a tradeoff..in an ideal world, people would like to use one system for all their use cases, and presto should get exhaustive by solving this problem.
  • Resource allocation is not similar to YARN and presto has a priority queue based query resource allocation..so a query that takes long takes longer...this might be alleviated by giving some more control back to the user to define priority/override.
  • UDF Support is not available in presto. You will have to write your own functions..while this is good for performance, it comes at a huge overhead of building exclusively for presto and not being interoperable with other systems like Hive, SparkSQL etc.
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Usability
1010data
That's votes by our team.
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Open Source
No answers on this topic
Alternatives Considered
1010data
While we have used SQL, 1010data is really the only industry standard product available for our use.
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Open Source
Presto is good for a templated design appeal. You cannot be too creative via this interface - but, the layout and options make the finalized visual product appealing to customers. The other design products I use are for different purposes and not really comparable to Presto.
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Return on Investment
1010data
  • Positive impact on help business make a data-drive decision
  • Positive impact on big data analysis
  • Negative impact on user friendly
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Open Source
  • Presto has helped scale Uber's interactive data needs. We have migrated a lot out of proprietary tech like Vertica.
  • Presto has helped build data driven applications on its stack than maintain a separate online/offline stack.
  • Presto has helped us build data exploration tools by leveraging it's power of interactive and is immensely valuable for data scientists.
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ScreenShots