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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Dataiku

    Score8.6 out of 10
    N/AThe Dataiku platform unifies data work from analytics to Generative AI. It supports enterprise analytics with visual, cloud-based tooling for data preparation, visualization, and workflow automation.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
    DataikuAmazon Redshift
    Editions & Modules
    Discover
    Contact sales team
    Business
    Contact sales team
    Enterprise
    Contact sales team
    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
    DataikuAmazon Redshift
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    DataikuAmazon Redshift
    Considered Both Products
    Dataiku
    No answer on this topic
    Amazon AWS
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    5 Answers
    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
    100%
    Happy with the feature set
    5 Answers
    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
    Features
    DataikuAmazon Redshift
    Platform Connectivity
    Comparison of Platform Connectivity features of Dataiku and Amazon Redshift
    Feature
    Dataiku
    8.6
    5 Ratings
    3% above category average
    Amazon Redshift
    -
    Ratings
    Connect to Multiple Data Sources8.05 Ratings00 Ratings
    Extend Existing Data Sources10.04 Ratings00 Ratings
    Automatic Data Format Detection10.05 Ratings00 Ratings
    MDM Integration6.52 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of Dataiku and Amazon Redshift
    Feature
    Dataiku
    10.0
    5 Ratings
    17% above category average
    Amazon Redshift
    -
    Ratings
    Visualization10.05 Ratings00 Ratings
    Interactive Data Analysis10.05 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Dataiku and Amazon Redshift
    Feature
    Dataiku
    9.5
    5 Ratings
    15% above category average
    Amazon Redshift
    -
    Ratings
    Interactive Data Cleaning and Enrichment9.05 Ratings00 Ratings
    Data Transformations9.05 Ratings00 Ratings
    Data Encryption10.04 Ratings00 Ratings
    Built-in Processors10.04 Ratings00 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Dataiku and Amazon Redshift
    Feature
    Dataiku
    8.5
    5 Ratings
    0% above category average
    Amazon Redshift
    -
    Ratings
    Multiple Model Development Languages and Tools8.05 Ratings00 Ratings
    Automated Machine Learning8.05 Ratings00 Ratings
    Single platform for multiple model development8.05 Ratings00 Ratings
    Self-Service Model Delivery10.04 Ratings00 Ratings
    Model Deployment
    Comparison of Model Deployment features of Dataiku and Amazon Redshift
    Feature
    Dataiku
    8.0
    5 Ratings
    6% below category average
    Amazon Redshift
    -
    Ratings
    Flexible Model Publishing Options8.05 Ratings00 Ratings
    Security, Governance, and Cost Controls8.05 Ratings00 Ratings
    Best Alternatives
    DataikuAmazon 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
    DataikuAmazon Redshift
    Likelihood to Recommend
    10.0
    (4 ratings)
    9.0
    (38 ratings)
    Usability
    10.0
    (1 ratings)
    9.0
    (10 ratings)
    Support Rating
    9.4
    (3 ratings)
    9.0
    (7 ratings)
    Contract Terms and Pricing Model
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    DataikuAmazon Redshift
    Likelihood to Recommend
    Dataiku
    Dataiku is an awesome tool for data scientists. It really makes our lives easier. It is also really good for non technical users to see and follow along with the process. I do think that people can fall into the trap of using it without any knowledge at all because so much is automated, but I dont think that is the fault of Dataiku.
    Incentivized
    Read full review
    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
    Dataiku
    • Allows users to collaborate and monitor individual tasks
    • Caters to both types of analysts, coders and non-coders, alike
    • Integrate graphs and plots with visualization tools such as Tableau
    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
    Dataiku
    • The integrated windows of frontend and backend in web applications make it cumbersome for the developer.
    • When dealing with multiple data flows, it becomes really confusing, though they have introduced a feature (Zones) to cater to this issue.
    • Bundling, exporting, and importing projects sometimes create issues related to code environment. If the code environment is not available, at least the schema of the flow we should be able to import should be.
    Incentivized
    Read full review
    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
    Dataiku
    The user experience is very good. Everything feels intuitive and "flows" (sorry excuse the pun) so nicely, and the customization level is also appropriate to the tool. Even as a newer data scientist, it felt easy to use and the explanations/tutorials were very good. The documentation is also at a good level
    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
    Dataiku
    The open source user community is friendly, helpful, and responsive, at times even outdoing commercial software vendors. Documentation is also top notch, and usually resolves issues without the need for human interactions. Great product design, with a focus on user experience, also makes platform use intuitive, thus reducing the need for explicit support.
    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
    Dataiku
    Anaconda is mainly used by professional data scientists who have profound knowledge of Python coding, mainly used for building some new algorithm block or some optimization, then the module will be integrated into the Dataiku pipeline/workflow. While Dataiku can be used by even other kinds of users.
    Incentivized
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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.
    Incentivized
    Read full review
    Contract Terms and Pricing Model
    Dataiku
    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
    Dataiku
    • Customer satisfaction
    • Timely project delivery
    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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    ScreenShots