Google Cloud BigTable vs. Presto

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Cloud BigTable
Score 9.5 out of 10
N/A
Google's Cloud Bigtable is a fully managed, scalable NoSQL database service for large analytical and operational workloads with up to 99.999% availability.
$0.03
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
Google Cloud BigTablePresto
Editions & Modules
Backup Storage
$0.026
per month per GB
HDD storage
$0.026
per month per GB
SSD storage
$0.17
per month per GB
Nodes
$0.65/hour
per month per node (minimum 1 nodes)
No answers on this topic
Offerings
Pricing Offerings
Cloud BigTablePresto
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
Community Pulse
Google Cloud BigTablePresto
Features
Google Cloud BigTablePresto
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Google Cloud BigTable
9.2
2 Ratings
8% above category average
Presto
-
Ratings
Automatic software patching10.02 Ratings00 Ratings
Database scalability9.02 Ratings00 Ratings
Automated backups9.02 Ratings00 Ratings
Database security provisions9.02 Ratings00 Ratings
Monitoring and metrics8.02 Ratings00 Ratings
Automatic host deployment10.01 Ratings00 Ratings
Best Alternatives
Google Cloud BigTablePresto
Small Businesses
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
InterSystems IRIS
InterSystems IRIS
Score 8.0 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
InterSystems IRIS
InterSystems IRIS
Score 8.0 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
SAP IQ
SAP IQ
Score 10.0 out of 10
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User Ratings
Google Cloud BigTablePresto
Likelihood to Recommend
9.0
(1 ratings)
7.8
(2 ratings)
Usability
9.0
(1 ratings)
-
(0 ratings)
Support Rating
9.0
(1 ratings)
-
(0 ratings)
User Testimonials
Google Cloud BigTablePresto
Likelihood to Recommend
Google
It works great for any use case that requires high throughput for reads and writes, for key-value kinda data. This enables you to use it for usecases where you need to retain data for a long term or even short term but then use it in pipelines to enrich data, sync states between backend and frontend or to quickly lookup say a user.
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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
Google
  • Analytics: is at Google's heart. No on can beat Google in this space and BigTable is one of its implementation of this. The insights you gain from BigTable are simply usable in your day to day activities and can help you make real difference.
  • Speed: Processing TBs and PBs of data under minutes needs real efficient platform which is capable of doing much more than just processing data. All this data cannot be processed by a single machine, but rather huge pairs of machines working in conjuction with each other. BigTable's implementation is one of the finest and allows you achieve great speeds!
  • Interface: is great. Google has segregated required task under logically placed buttons which takes no time by users to understand and get habituated.
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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
Google
  • Global replication
  • Complete SQL support
  • Size limit of 1MB
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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
Google
For big IT firms like us, data is very important and it only holds its value if it can make sense to us. Therefore, Bigtable's usability is priceless when it comes to decision making based on data.
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Open Source
No answers on this topic
Support Rating
Google
Google provides premium support services for BigTable which is absolutely blazing fast similar to Bigtable's performance.
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Open Source
No answers on this topic
Alternatives Considered
Google
As a hosted solution, that can be managed easily from the Google cloud platform, it enables the teams to think about business use cases vs thinking about the management of the database itself. It is easily to scale it up when you need more throughput or storage. This keeps the developers and the product folks happy.
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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
Google
  • Building new features that can leverage storage on the edge
  • Realtime decision making
  • Data enrichment
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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