Amazon DynamoDB vs Google Cloud Bigtable vs Rackspace ObjectRocket comparison

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Amazon Web Services (AWS) Logo
3,905 views|3,377 comparisons
96% willing to recommend
Google Logo
1,886 views|1,115 comparisons
100% willing to recommend
Rackspace Logo
29 views|10 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon DynamoDB, Google Cloud Bigtable, and Rackspace ObjectRocket based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), Google and others in Managed NoSQL Databases.
To learn more, read our detailed Managed NoSQL Databases Report (Updated: April 2024).
769,236 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
  • "Its subscription cost is lower than similar databases offered by other vendors."
  • "You can get committed capacity or transaction-based pricing. If you're doing it on demand, they charge based on whether you're reading or writing. They charge $1.25 for every million rights to the database and 25 cents for every million reads from the database. The first 25 gigabytes of storage are free, and they charge 25 cents a gigabyte a month. So, it's a very different world. It's a quarter a gigabyte a month. You can store a lot of data. They have a separate fee for automated backup, and if you want it globally distributed, where it's distributed around the world, there's a slightly different price."
  • "I would rate the pricing for this solution a four out of five."
  • "It is a little expensive."
  • "On a scale of one to ten, where one is a high price and ten is a low price, I rate the pricing a seven. It is not the cheapest, but it is not the costliest either."
  • "Amazon DynamoDB is cheap."
  • "Compared to a high-end relational database, it's cheap."
  • "For our use case usage, DynamoDB's pricing was okay. However, for high-traffic applications, the pricing structure becomes less attractive."
  • More Amazon DynamoDB Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:We directly pass the JSON value to Amazon DynamoDB, which is why Amazon DynamoDB is faster than relational databases.
    Top Answer:The solution's efficiency and performance should be faster than other databases.
    Top Answer:Amazon DynamoDB is used to store data in the form of JSON. I use AWS Lambda to insert data into Amazon DynamoDB.
    Top Answer:Scalability-wise, I rate the solution a ten out of ten.
    Top Answer:The lagging problem of the product I face is an area of concern where improvements are required. In general, the… more »
    Top Answer:When a client gives our organization a project where they need a dashboard for their company, they provide us with some… more »
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    Ranking
    2nd
    Views
    3,905
    Comparisons
    3,377
    Reviews
    21
    Average Words per Review
    510
    Rating
    8.5
    3rd
    Views
    1,886
    Comparisons
    1,115
    Reviews
    5
    Average Words per Review
    365
    Rating
    9.0
    10th
    Views
    29
    Comparisons
    10
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
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    Overview

    Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. You can use Amazon DynamoDB to create a database table that can store and retrieve any amount of data, and serve any level of request traffic. Amazon DynamoDB automatically spreads the data and traffic for the table over a sufficient number of servers to handle the request capacity specified by the customer and the amount of data stored, while maintaining consistent and fast performance.

    Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.

    The ObjectRocket platform offers fully managed instances of MongoDB and Redis in data centres across the globe. The platform combines open source technologies with best of breed hardware for ultimate performance. We used the experience we have building the systems that power some of the busiest web sites and applications to create an optimised, scalable, reliable, and easy to use database as a service.

    Deploying a database on the ObjectRocket platform eliminates the need to do any type of system administration or maintenance of the database server itself. We proactively monitor all database instances taking action when necessary to ensure your database is operating at peak performance and that availability is never compromised, including DBA services such as data architecture consultation.

    Sample Customers
    Samsung, Snapchat, Capital One, Expedia, Tinder, Airbnb, Comcast, Lyft, Redfin, Netflix, Adobe
    Cognite, Dow Jones, Loblaw Digital
    MapMyFitness, SponsorHub, SumAll, The Control Group, Untappd
    Top Industries
    REVIEWERS
    Comms Service Provider27%
    Computer Software Company18%
    Healthcare Company9%
    University9%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Financial Services Firm16%
    Comms Service Provider6%
    Manufacturing Company6%
    VISITORS READING REVIEWS
    University14%
    Computer Software Company14%
    Financial Services Firm9%
    Retailer9%
    No Data Available
    Company Size
    REVIEWERS
    Small Business53%
    Midsize Enterprise7%
    Large Enterprise40%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise12%
    Large Enterprise66%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise15%
    Large Enterprise68%
    No Data Available
    Buyer's Guide
    Managed NoSQL Databases
    April 2024
    Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), Google and others in Managed NoSQL Databases. Updated: April 2024.
    769,236 professionals have used our research since 2012.