MongoDB Atlas vs. Presto

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
MongoDB Atlas
Score 8.3 out of 10
N/A
MongoDB Atlas is the company's automated managed cloud service, supplying automated deployment, provisioning and patching, and other features supporting database monitoring and optimization.
$57
per month
Presto
Score 10.0 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
MongoDB AtlasPresto
Editions & Modules
Dedicated Clusters
$57
per month
Dedicated Multi-Reigon Clusters
$95
per month
Shared Clusters
Free
No answers on this topic
Offerings
Pricing Offerings
MongoDB AtlasPresto
Free Trial
NoNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
MongoDB AtlasPresto
Features
MongoDB AtlasPresto
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
MongoDB Atlas
8.9
6 Ratings
5% above category average
Presto
-
Ratings
Automatic software patching9.16 Ratings00 Ratings
Database scalability9.86 Ratings00 Ratings
Automated backups9.96 Ratings00 Ratings
Database security provisions9.16 Ratings00 Ratings
Monitoring and metrics6.76 Ratings00 Ratings
Automatic host deployment9.05 Ratings00 Ratings
Best Alternatives
MongoDB AtlasPresto
Small Businesses
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
InterSystems IRIS
InterSystems IRIS
Score 7.7 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
InterSystems IRIS
InterSystems IRIS
Score 7.7 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
SAP IQ
SAP IQ
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
MongoDB AtlasPresto
Likelihood to Recommend
8.4
(6 ratings)
7.8
(2 ratings)
Usability
8.0
(1 ratings)
-
(0 ratings)
Support Rating
10.0
(2 ratings)
-
(0 ratings)
User Testimonials
MongoDB AtlasPresto
Likelihood to Recommend
MongoDB
It is good if you: 1. Have unstructured data that you need to save (since it is NoSQL DB) 2. You don't have time or knowledge to setup the MongoDB Atlas, the managed service is the way to go (Atlas) 3. If you need a multi regional DB across the world
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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
MongoDB
  • Generous free and trial plan for evaluation or test purposes.
  • New versions of MongoDB are able to be deployed with Atlas as soon as they're released—deploying recent versions to other services can be difficult or risky.
  • As the key supporters of the open source MongoDB project, the service runs in a highly optimized and performant manner, making it much easier than having to do the work internally.
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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
MongoDB
  • For someone new, it could be challenging using MongoDB Atlas. Some official video tutorials could help a lot
  • Pricing calculation is sometimes misleading and unpredictable, maybe better variables could be used to provide better insights about the cost
  • Since it is a managed service, we have limited control over the instances and some issues we faced we couldn't;'t know about without reaching out to the support and got fixed from their end. So more control over the instance might help
  • The way of managing users and access is somehow confusing. Maybe it could be placed somewhere easy to access
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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
MongoDB
I would give it 8. Good stuff: 1. Easy to use in terms of creating cluster, integrating with Databases, setting up backups and high availability instance, using the monitors they provide to check cluster status, managing users at company level, configure multiple replicas and cross region databases. Things hard to use: 1. roles and permissions at DB level. 2. Calculate expected costs
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Open Source
No answers on this topic
Support Rating
MongoDB
We love MongoDB support and have great relationship with them. When we decided to go with MongoDB Atlas, they sent a team of 5 to our company to discuss the process of setting up a Mongo cluster and walked us through. when we have questions, we create a ticket and they will respond very quickly
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Open Source
No answers on this topic
Alternatives Considered
MongoDB
MongoDB is a great product but on premise deployments can be slow. So we turned to Atlas. We also looked at Redis Labs and we use Redis as our side cache for app servers. But we love using MongoDB Atlas for cloud deployments, especially for prototyping because we can get started immediately. And the cost is low and easy to justify.
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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
MongoDB
  • Positive - Faster provisioning so we don't have development teams waiting.
  • Positive - Automated backups and server management - eliminates need for dedicated DBAs.
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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