What users are saying about
36 Ratings
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Score 7 out of 100
186 Ratings
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Score 8.3 out of 100

Attribute Ratings

  • Amazon Redshift is rated higher in 1 area: Likelihood to Recommend

Likelihood to Recommend

7.0

Hortonworks Data Platform

70%
9 Ratings
9.3

Amazon Redshift

93%
34 Ratings

Usability

Hortonworks Data Platform

N/A
0 Ratings
10.0

Amazon Redshift

100%
9 Ratings

Support Rating

Hortonworks Data Platform

N/A
0 Ratings
9.1

Amazon Redshift

91%
12 Ratings

Implementation Rating

9.0

Hortonworks Data Platform

90%
2 Ratings

Amazon Redshift

N/A
0 Ratings

Contract Terms and Pricing Model

Hortonworks Data Platform

N/A
0 Ratings
10.0

Amazon Redshift

100%
1 Rating

Likelihood to Recommend

Cloudera

I find HDP easy to use and solves most of the problems for people looking to manage their big data. Evaluating the Hortonworks Data Platform is easy as it is free to download and install in your cluster. Single node cluster available as Sandbox is also easy for POCs.
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Amazon AWS

If the number of connections is expected to be low, but the amounts of data are large or projected to grow it is a good solutions especially if there is previous exposure to PostgreSQL. Speaking of Postgres, Redshift is based on several versions old releases of PostgreSQL so the developers would not be able to take advantage of some of the newer SQL language features. The queries need some fine-tuning still, indexing is not provided, but playing with sorting keys becomes necessary. Lastly, there is no notion of the Primary Key in Redshift so the business must be prepared to explain why duplication occurred (must be vigilant for)
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Pros

Cloudera

  • It does a good job of packaging a lot of big data components into bundles and lets you use the ones you are interested in or need. It supports an extensive list of components which lets us solve many problems.
  • It provides the ability to manage installations and maintenance using Apache Ambari. It helps us in using management packs to install/upgrade components easily. It also helps us add, remove components, add, remove hosts, perform upgrades in a convenient manner. It also provides alerts and notifications and monitors the environment.
  • What they excel in is packaging open source components that are relevant and are useful to solve and complement each other as well as contribute to enhancing those components. They do a great job in the community to keep on top of what would be useful to users, fixing bugs and working with other companies and individuals to make the platform better.
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Amazon AWS

  • [Amazon] Redshift has Distribution Keys. If you correctly define them on your tables, it improves Query performance. For instance, we can define Mapping/Meta-data tables with Distribution-All Key, so that it gets replicated across all the nodes, for fast joins and fast query results.
  • [Amazon] Redshift has Sort Keys. If you correctly define them on your tables along with above Distribution Keys, it further improves your Query performance. It also has Composite Sort Keys and Interleaved Sort Keys, to support various use cases
  • [Amazon] Redshift is forked out of PostgreSQL DB, and then AWS added "MPP" (Massively Parallel Processing) and "Column Oriented" concepts to it, to make it a powerful data store.
  • [Amazon] Redshift has "Analyze" operation that could be performed on tables, which will update the stats of the table in leader node. This is sort of a ledger about which data is stored in which node and which partition with in a node. Up to date stats improves Query performance.
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Cons

Cloudera

  • Since it doesn't come with propriety tools for big data management, additional integration is need (for query handling, search, etc).
  • It was very straightforward to store clinical data without relations, such as data from sensors of a medical device. But it has limitations when needed to combine the data with other clinical data in structured format (e.g. lab results, diagnosis).
  • Overall look and feel of front-end management tools (e.g. monitoring) are not good. It is not bad but it doesn't look professional.
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Amazon AWS

  • We've experienced some problems with hanging queries on Redshift Spectrum/external tables. We've had to roll back to and old version of Redshift while we wait for AWS to provide a patch.
  • Redshift's dialect is most similar to that of PostgreSQL 8. It lacks many modern features and data types.
  • Constraints are not enforced. We must rely on other means to verify the integrity of transformed tables.
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Pricing Details

Hortonworks Data Platform

Starting Price

Editions & Modules

Hortonworks Data Platform editions and modules pricing
EditionModules

Footnotes

    Offerings

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services

    Entry-level set up fee?

    No setup fee

    Additional Details

    Amazon Redshift

    Starting Price

    $0 per hour

    Editions & Modules

    Amazon Redshift editions and modules pricing
    EditionModules
    Current Generation$0.25 - $13.041
    Previous Generation$0.25 - $4.082
    Redshift Spectrum$5.003
    Redshift Managed Storage$0.244

    Footnotes

    1. per hour
    2. per hour
    3. per terabyte of data scanned
    4. per GB per month

    Offerings

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services

    Entry-level set up fee?

    No setup fee

    Additional Details

    Usability

    Cloudera

    No answers on this topic

    Amazon AWS

    Just very happy with the product, it fits our needs perfectly. Amazon pioneered the cloud and we have had a positive experience using RedShift. Really cool to be able to see your data housed and to be able to query and perform administrative tasks with ease.
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    Support Rating

    Cloudera

    No answers on this topic

    Amazon AWS

    The support was great and helped us in a timely fashion. We did use a lot of online forums as well, but the official documentation was an ongoing one, and it did take more time for us to look through it. We would have probably chosen a competitor product had it not been for the great support
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    Implementation Rating

    Cloudera

    Try not to change variable names.
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    Amazon AWS

    No answers on this topic

    Alternatives Considered

    Cloudera

    We chose [Hortonworks Data Platform] because it's free and because [it] was an IBM partner, suggested as big data platform after biginsights platform.
    You can install in more physical computer without high specs, then you can use it in order to learn how to deploy, configure a complete big data cluster.
    We installed also in a cloud infrastructure of 5 virtual machine
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    Amazon AWS

    Than Vertica: Redshift is cheaper and AWS integrated (which was a plus because the whole company was on AWS).
    Than BigQuery: Redshift has a standard SQL interface, though recently I heard good things about BigQuery and would try it out again.
    Than Hive: Hive is great if you are in the PB+ range, but latencies tend to be much slower than Redshift and it is not suited for ad-hoc applications.
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    Contract Terms and Pricing Model

    Cloudera

    No answers on this topic

    Amazon AWS

    Redshift is relatively cheaper tool but since the pricing is dynamic, there is always a risk of exceeding the cost. Since most of our team is using it as self serve and there is no continuous tracking by a dedicated team, it really needs time & effort on analyst's side to know how much it is going to cost.
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    Return on Investment

    Cloudera

    • It is difficult to have a negative impact, because the required investment is not that high.
    • The big open community behind Hortonworks and related Apache Project makes it easy to put 'the wheel to meet the road' quite quickly.
    • We have seen management meetings where the attendants were impressed by the results achieved with the datalake built on HDP.
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    Amazon AWS

    • Our company is moving to the AWS infrastructure, and in this context moving the warehouse environments to Redshift sounds logical regardless of the cost.
    • Development organizations have to operate in the Dev/Ops mode where they build and support their apps at the same time.
    • Hard to estimate the overall ROI of moving to Redshift from my position. However, running Redshift seems to be inexpensive compared to all the licensing and hardware costs we had on our RDBMS platform before Redshift.
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