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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    AWS Glue

    Score7.5 out of 10
    N/AAWS Glue is a managed extract, transform, and load (ETL) service designed to make it easy for customers to prepare and load data for analytics. With it, users can create and run an ETL job in the AWS Management Console. Users point AWS Glue to data stored on AWS, and AWS Glue discovers data and stores the associated metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once cataloged, data is immediately searchable, queryable, and available for ETL.

    $0.44

    billed per second, 1 minute minimum

    Amazon Redshift

    Score9 out of 10
    N/AAmazon Redshift is a hosted data warehouse solution, from Amazon Web Services.

    $0.24

    per GB per month

    Pricing
    AWS GlueAmazon Redshift
    Editions & Modules
    per DPU-Hour
    $0.44
    billed per second, 1 minute minimum
    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
    AWS GlueAmazon 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
    AWS GlueAmazon Redshift
    Considered Both Products
    Amazon AWS
    No answer on this topic
    Amazon AWS
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    8 Answers
    78%
    Would buy again
    14 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    7 Answers
    82%
    Delivers good value for the price
    14 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    8 Answers
    78%
    Happy with the feature set
    14 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    7 Answers
    93%
    Lived up to sales and marketing promises
    14 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    7 Answers
    100%
    Implementation went as expected
    16 Answers
    Best Alternatives
    AWS GlueAmazon Redshift
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    Toad Data Point
    Score7.9 out of 10
    Azure Synapse Analytics
    Score6.9 out of 10
    Enterprises
    Datameer
    Score8.4 out of 10
    Snowflake
    Score8.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    AWS GlueAmazon Redshift
    Likelihood to Recommend
    7.0
    (8 ratings)
    9.0
    (38 ratings)
    Usability
    7.0
    (1 ratings)
    9.0
    (10 ratings)
    Support Rating
    7.0
    (1 ratings)
    9.0
    (7 ratings)
    Contract Terms and Pricing Model
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    AWS GlueAmazon Redshift
    Likelihood to Recommend
    Amazon AWS
    One of AWS Glue's most notable features that aid in the creation and transformation of data is its data catalog. Support, scheduling, and the automation of the data schema recognition make it superior to its competitors aside from that. It also integrates perfectly with other AWS tools. The main restriction may be integrated with systems outside of the AWS environment. It functions flawlessly with the current AWS services but not with other goods. Another potential restriction that comes to mind is that glue operates on a spark, which means the engineer needs to be conversant in the language.
    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
    • It is extremely fast, easy, and self-intuitive. Though it is a suite of services, it requires pretty less time to get control over it.
    • As it is a managed service, one need not take care of a lot of underlying details. The identification of data schema, code generation, customization, and orchestration of the different job components allows the developers to focus on the core business problem without worrying about infrastructure issues.
    • It is a pay-as-you-go service. So, there is no need to provide any capacity in advance. So, it makes scheduling much easier.
    Incentivized
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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.
    Incentivized
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    Cons
    Amazon AWS
    • In-Stream schema registries feature people can not use this more efficiently
    • in Connections feature they can add more connectors as well
    • The crucial problem with AWS Glue is that it only works with AWS.
    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.
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    Usability
    Amazon AWS
    While easy to set up and manage monitoring for large datasets, its complexity can be a barrier for new users. Integration with AWS Ecosystem, Managed Monitoring, Dashboards and monitoring tools for AWS Glue are generally easy to set up and maintain, Automated Data Pipelines. Automates data pipeline creation, making it efficient for certain data integration
    Incentivized
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    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
    Amazon responds in good time once the ticket has been generated but needs to generate tickets frequent because very few sample codes are available, and it's not cover all the scenarios.
    Incentivized
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    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
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    Alternatives Considered
    Amazon AWS
    AWS Glue is a fully managed ETL service that automates many ETL tasks, making it easier to set AWS Glue simplifies ETL through a visual interface and automated code generation.
    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 are using GLUE for our ETL purpose. it’s ease with other our AWS services makes our ROI, 100% ROI.
    • One missing piece was compatibility with other data source for which we found a work around and made our data source as S3 only, so our dependencies on other data source is also reducing
    Incentivized
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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.
    Incentivized
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