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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Amazon SageMaker AI

    Score8.9 out of 10
    N/AAmazon SageMaker AI is a fully managed AWS service for building, training, customizing, deploying, and managing AI and machine-learning models. It provides development environments, managed training infrastructure, model-serving options, experiment tracking, and governance controls for the model development lifecycle.N/A

    Amazon Redshift

    Score8.9 out of 10
    N/AAmazon Redshift is a hosted data warehouse solution, from Amazon Web Services.

    $0.24

    per GB per month

    Pricing
    Amazon SageMaker AIAmazon Redshift
    Editions & Modules
    No answers on this topic
    Redshift Managed Storage
    $0.24
    per GB per month
    Current Generation
    $0.25 - $13.04
    per hour
    Previous Generation
    $0.25 - $4.08
    per hour
    Redshift Spectrum
    $5.00
    per terabyte of data scanned
    Offerings
    Pricing Offerings
    Amazon SageMaker AIAmazon Redshift
    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
    Amazon SageMaker AIAmazon Redshift
    Considered Both Products
    Amazon AWS
    Chose Amazon SageMaker AI
    Amazon SageMaker comes with other supportive services like S3, SQS, and a vast variety of servers on EC2. It's very comfortable to manage the process and also support the end application by one click hosting option. Also, it charges on the base of what you use and how long you …
    Incentivized
    Amazon AWS
    Chose Amazon Redshift
    Biggest advantage of Amazon Redshift is it's part of the aws ecosystem. When tuned well it is also very cheap compared to something like Snowflake. And compared to spark or databricks, Amazon Redshift is a solid warehouse that's well suited for tabular data. We use it for user …
    Incentivized
    Chose Amazon Redshift
    Amazon Redshift has a better UI, hands down. And it is easy to integrate with bigger tools like Talend. It has many issues when it comes to understanding the architect perspective like Toad, which has a better UI for architect data together. However, that is because we are not …
    Incentivized
    Key User Insights
    Would buy again
    No answers on this topic
    78%
    Would buy again
    14 Answers
    Delivers good value for the price
    No answers on this topic
    82%
    Delivers good value for the price
    14 Answers
    Happy with the feature set
    No answers on this topic
    78%
    Happy with the feature set
    14 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    93%
    Lived up to sales and marketing promises
    14 Answers
    Implementation went as expected
    No answers on this topic
    100%
    Implementation went as expected
    16 Answers
    Best Alternatives
    Amazon SageMaker AIAmazon Redshift
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    No answers on this topic
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    Snowflake
    Score8.7 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    Snowflake
    Score8.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Amazon SageMaker AIAmazon Redshift
    Likelihood to Recommend
    9.0
    (5 ratings)
    9.0
    (38 ratings)
    Usability
    -
    (0 ratings)
    9.0
    (10 ratings)
    Support Rating
    -
    (0 ratings)
    9.0
    (7 ratings)
    Contract Terms and Pricing Model
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    Amazon SageMaker AIAmazon Redshift
    Likelihood to Recommend
    Amazon AWS
    It allows for one-click processes and for things to be auto checked before they are moved through the process but through the system. It also makes training easy. I am able to train users on the basic fundamentals of the tool and how it is used very easily as it is fully managed on its own which is incredible.
    Incentivized
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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)
    Incentivized
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    Pros
    Amazon AWS
    • Machine Learning at scale by deploying huge amount of training data
    • Accelerated data processing for faster outputs and learnings
    • Kubernetes integration for containerized deployments
    • Creating API endpoints for use by technical users
    Incentivized
    Read full review
    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.
    Incentivized
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    Cons
    Amazon AWS
    • It's very good for the hardcore programmer, but a little bit complex for a data scientist or new hire who does not have a strong programming background.
    • Most of the popular library and ML frameworks are there, but we still have to depend on them for new releases.
    Incentivized
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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.
    Incentivized
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    Usability
    Amazon AWS
    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.
    Incentivized
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    Support Rating
    Amazon AWS
    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
    Incentivized
    Read full review
    Alternatives Considered
    Amazon AWS
    Amazon SageMaker took the heavy lifting out of building and creating models. It allowed for our organization to use our current system for integration and essentially added on a feature to help all levels of Data scientists and IT professionals in our department and company as a whole. The training was simple as well.
    Incentivized
    Read full review
    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.
    Incentivized
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    Contract Terms and Pricing Model
    Amazon AWS
    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.
    Incentivized
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    Return on Investment
    Amazon AWS
    • We have been able to deliver data products more rapidly because we spend less time building data pipelines and model servers.
    • We can prototype more rapidly because it is easy to configure notebooks to access AWS resources.
    • For our use-cases, serving models is less expensive with SageMaker than bespoke servers.
    Incentivized
    Read full review
    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.
    Incentivized
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