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Amazon Redshift vs. Teradata Autonomous Knowledge Platform

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    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

    Teradata Autonomous Knowledge Platform

    Score7.9 out of 10
    N/ATeradata Vantage is presented as a modern analytics cloud platform that unifies everything—data lakes, data warehouses, analytics, and new data sources and types. Supports hybrid multi-cloud environments and priced for flexibility, Vantage delivers unlimited intelligence to build the future of business. Users can deploy Vantage on public clouds (such as AWS, Azure, and GCP), hybrid multi-cloud environments, on-premises with Teradata IntelliFlex, or on commodity hardware with VMware.

    $4,800

    per month

    Pricing
    Amazon RedshiftTeradata Autonomous Knowledge Platform
    Editions & Modules
    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
    Teradata VantageCloud Lake
    from $4800
    per month
    Teradata VantageCloud Enterprise
    from $9000
    per month
    Offerings
    Pricing Offerings
    Amazon RedshiftTeradata Autonomous Knowledge Platform
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details——
    More Pricing Information
    Community Pulse
    Amazon RedshiftTeradata Autonomous Knowledge Platform
    Considered Both Products
    Amazon AWS
    No answer on this topic
    Teradata
    No answer on this topic
    Key User Insights
    Would buy again
    78%
    Would buy again
    14 Answers
    94%
    Would buy again
    47 Answers
    Delivers good value for the price
    82%
    Delivers good value for the price
    14 Answers
    100%
    Delivers good value for the price
    37 Answers
    Happy with the feature set
    78%
    Happy with the feature set
    14 Answers
    98%
    Happy with the feature set
    49 Answers
    Lived up to sales and marketing promises
    93%
    Lived up to sales and marketing promises
    14 Answers
    100%
    Lived up to sales and marketing promises
    28 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    16 Answers
    97%
    Implementation went as expected
    37 Answers
    Best Alternatives
    Amazon RedshiftTeradata Autonomous Knowledge Platform
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    Snowflake
    Score8.7 out of 10
    Snowflake
    Score8.7 out of 10
    Enterprises
    Snowflake
    Score8.7 out of 10
    Snowflake
    Score8.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Amazon RedshiftTeradata Autonomous Knowledge Platform
    Likelihood to Recommend
    9.0
    (38 ratings)
    9.4
    (62 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    8.2
    (6 ratings)
    Usability
    9.0
    (10 ratings)
    9.0
    (30 ratings)
    Support Rating
    9.0
    (7 ratings)
    7.3
    (2 ratings)
    Implementation Rating
    -
    (0 ratings)
    6.4
    (1 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Amazon RedshiftTeradata Autonomous Knowledge Platform
    Likelihood to Recommend
    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
    Read full review
    Teradata
    Teradata Vantage is well suited for large scale ETL pipelines like the ones we developed for anti money laundering risk matrices. It handles heavy joins, aggregations, and transformations on transactional data efficiently. We generate alert variables, adjust for inflation, and monitor establishments monthly with it, all integrated with Python and Control-M for a centralised automation across the company. For less appropriate, I would say that heavy resource demands might slow down experimentation for iterative work.
    Read full review
    Pros
    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
    Read full review
    Teradata
    • ETL (Extract - Transfor - Load)
    • NOS to send data from Teradata Vantage to S3 and from S3 to Teradata Vantage
    • Teradata GeoSpacial feature
    • Bulk reading and writing in huge tables
    • MPP capacity already mature
    • Temporal Capacity more mature that other solutions
    • TASM
    Incentivized
    Read full review
    Cons
    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
    Read full review
    Teradata
    • Teradata is an excellent option but only for a massive amount of data warehousing or analysis. If your data is not that big then it could be a misfit for your company and cost you a lot. The cost associated is quite extensive as compared to some other alternative RDBMS systems available in the market.
    • Migration of data from Teradata to some other RDBMS systems is quite painful as the transition is not that smooth and you need to follow many steps and even if one of them fails. You need to start from the beginning almost.
    • Last but not least the UI is pretty outdated and needs a revamp. Though it is simple, it needs to be presented in a much better way and more advanced options need to bee presented on the front page itself.
    Incentivized
    Read full review
    Likelihood to Renew
    Amazon AWS
    No answers on this topic
    Teradata
    Teradata is a mature RDBMS system that expands its functionality towards the current cloud capabilities like object storage and flexible compute scale.
    Incentivized
    Read full review
    Usability
    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
    Read full review
    Teradata
    Teradata Vantage allows us to create a scalable infrastructure to support our strategic initiatives. The dedicated compute power ensures reliable performance with isolated workloads and dedicated resources, optimizing workflows for faster, more efficient data transfers. The compute clusters support ETL processes and OSF’s developers and data science team with the flexibility to create self-service analytics, to spin up/down at any time, driving better performance and minimizing costs.
    Read full review
    Support Rating
    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
    Teradata
    We have meetings at the beginning with the technical team to explain our requirements to them and they were really putting in a lot of effort to come up with a solution which will address all our needs. They implemented the software and also trained a few of our resources on the same too. We can get in touch with them now as well whenever we run into a roadblock but it's very less now.
    Incentivized
    Read full review
    Alternatives Considered
    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
    Teradata
    Teradata is way ahead of its competitor because of its unique features of ensuring data privacy and data never gets corrupted even in worst case scenario. In most cases, the data corruption is a major issue if left unused and it leads to important data being wiped off which in ideal case should be stored for 3 years
    Incentivized
    Read full review
    Contract Terms and Pricing Model
    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
    Read full review
    Teradata
    No answers on this topic
    Return on Investment
    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
    Read full review
    Teradata
    • Moving to Teradata in the Cloud-enabled a level of agility that previously didn't exist in the organization. It also enabled a level of analytic competency that was not achievable using other options on the aggressive timeline that was required. We didn't want to settle for reinventing a wheel when we had a super tuned performance capable beast readily available in Teradata. Teradata lets us focus on our business rather than spending money and effort trying to design software or database foundations features on an open source or lower performance platform.
    Incentivized
    Read full review
    ScreenShots

    Teradata Autonomous Knowledge Platform Screenshots

    Screenshot of Teradata VantageCloud Lake Console Financial GovernanceScreenshot of Teradata VantageCloud Lake Console Landing Page