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Google Cloud Datastore vs. Teradata Autonomous Knowledge Platform

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google Cloud Datastore

    Score7 out of 10
    N/AGoogle Cloud Datastore is a NoSQL "schemaless" database as a service, supporting diverse data types. The database is managed; Google manages sharding and replication and prices according to storage and activity.N/A

    Teradata Autonomous Knowledge Platform

    Score8 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
    Google Cloud DatastoreTeradata Autonomous Knowledge Platform
    Editions & Modules
    No answers on this topic
    Teradata VantageCloud Lake
    from $4800
    per month
    Teradata VantageCloud Enterprise
    from $9000
    per month
    Offerings
    Pricing Offerings
    Google Cloud DatastoreTeradata 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
    Google Cloud DatastoreTeradata Autonomous Knowledge Platform
    Considered Both Products
    Google
    No answer on this topic
    Teradata
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    94%
    Would buy again
    47 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    37 Answers
    Happy with the feature set
    No answers on this topic
    98%
    Happy with the feature set
    49 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    28 Answers
    Implementation went as expected
    No answers on this topic
    97%
    Implementation went as expected
    37 Answers
    Features
    Google Cloud DatastoreTeradata Autonomous Knowledge Platform
    NoSQL Databases
    Comparison of NoSQL Databases features of Google Cloud Datastore and Teradata Autonomous Knowledge Platform
    Feature
    Google Cloud Datastore
    8.4
    3 Ratings
    2% below category average
    Teradata Autonomous Knowledge Platform
    -
    Ratings
    Performance10.03 Ratings00 Ratings
    Availability7.03 Ratings00 Ratings
    Concurrency9.03 Ratings00 Ratings
    Security9.03 Ratings00 Ratings
    Scalability10.02 Ratings00 Ratings
    Data model flexibility4.03 Ratings00 Ratings
    Deployment model flexibility9.92 Ratings00 Ratings
    Best Alternatives
    Google Cloud DatastoreTeradata Autonomous Knowledge Platform
    Small Businesses
    IBM Cloudant
    Score7.4 out of 10
    No answers on this topic
    Medium-sized Companies
    IBM Cloudant
    Score7.4 out of 10
    Snowflake
    Score8.7 out of 10
    Enterprises
    IBM Cloudant
    Score7.4 out of 10
    Snowflake
    Score8.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google Cloud DatastoreTeradata Autonomous Knowledge Platform
    Likelihood to Recommend
    6.0
    (3 ratings)
    9.4
    (62 ratings)
    Likelihood to Renew
    10.0
    (2 ratings)
    8.2
    (6 ratings)
    Usability
    7.0
    (1 ratings)
    9.0
    (30 ratings)
    Support Rating
    -
    (0 ratings)
    7.3
    (2 ratings)
    Implementation Rating
    -
    (0 ratings)
    6.4
    (1 ratings)
    User Testimonials
    Google Cloud DatastoreTeradata Autonomous Knowledge Platform
    Likelihood to Recommend
    Google
    I feel like Google Cloud Datastore is well suited when the data models are simple and the possible filtering and sorting operation are not complex. With more complex filtering, the amount of required indexes increase, and so does the costs.
    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
    Google
    • It is hosted in GCP, our primary cloud provider.
    • It integrates with all the services we use in GCP.
    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
    Google
    • Part of the Google Cloud Platform walled garden.
    • Pay for read/writes to the datastore, in addition to storage.
    • Not many libraries exist.
    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
    Google
    I give Google Cloud a full score because it satisfies our needs so well. We host most of our infrastructure on Google Cloud and using Google Cloud Datastore helps us to solve our NoSQL storage problem. and Google Cloud Datastore is so scalable and elastic. It saves us lots of time to maintain and saves us money.
    Incentivized
    Read full review
    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
    Google
    The simple implementation, together with the Google Cloud dashboard that allows data inspection, editing and querying, makes Google Cloud Datastore a comprehensive choice when it comes to NoSQL databases.
    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
    Google
    No answers on this topic
    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
    Google
    If deploying an application in Google Cloud Platform, using Google Cloud Datastore is a no brainer because of the simplicity of setup. Other options would require more setup and configuration, and do not come with the same level of guaranteed uptime as Google Cloud Datastore. In our case, we've been using Google Cloud Datastore for 4 years without any issues and have never had to think about it.
    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
    Return on Investment
    Google
    • It solves our NoSQL database problem.
    • It it highly scalable and available to meets our needs.
    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