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Google Cloud Spanner VS Amazon DynamoDB

Compare Google Cloud Spanner VS Amazon DynamoDB and see what are their differences

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Google Cloud Spanner logo Google Cloud Spanner

Google Cloud Spanner is a horizontally scalable, globally consistent, relational database service.

Amazon DynamoDB logo Amazon DynamoDB

Amazon DynamoDB is a fully managed NoSQL database service offered by Amazon.
  • Google Cloud Spanner Landing page
    Landing page //
    2023-09-17
  • Amazon DynamoDB Landing page
    Landing page //
    2023-06-18

Google Cloud Spanner videos

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Build with Google Cloud Spanner

Amazon DynamoDB videos

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#13 - Amazon DynamoDB Basics In Under 5 Minutes [Tutorial For Beginners]

More videos:

  • Review - What is Amazon DynamoDB?

Category Popularity

0-100% (relative to Google Cloud Spanner and Amazon DynamoDB)

Google Cloud Spanner

Amazon DynamoDB

Databases
37 37%
Databases
63% 63
Relational Databases
54 54%
Relational Databases
46% 46
NoSQL Databases
27 27%
NoSQL Databases
73% 73
Tool
100 100%
Tool
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Google Cloud Spanner and Amazon DynamoDB

Google Cloud Spanner Reviews

We have no reviews of Google Cloud Spanner yet.
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Amazon DynamoDB Reviews

7 Best NoSQL APIs
Chosen by many businesses around the world, like Toyota, Airbnb, and Samsung, Amazon DynamoDB is a popular option for businesses who want flexibility and power. This NoSQL API utilizes both key-value and document databases. Its performance is evident with single-digit millisecond performance, no matter the scale.
Source: www.programmableweb.com

Social recommendations and mentions

Based on our record, Google Cloud Spanner seems to be more popular. It has been mentiond 17 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Google Cloud Spanner mentions (17)

  • Golden Ticket To Explore Google Cloud
    Multiregion is possible in Google Cloud using Cloud Spanner, which allows you to replicate the database not only in multiple zones but also in multiple regions as defined in the instance configuration. The replicas allow you to read data with low latency from multiple locations that are close to or within the region in the configuration. - Source: dev.to / 9 months ago
  • /u/ryuuthecat wonders how a feature of google maps works. Engineer who programmed the feature responds with the answer
    Basically everything I touch is in-house, but a majority of it is available publicly. For instance: https://cloud.google.com/spanner/. Source: over 1 year ago
  • How Do Companies (Like Evernote) Handle So Many Notes?
    An application that needs to handle a lot of data can use a distributed database like Cloud Spanner. Unlimited scale and you don't have to split your database into multiple tables. Source: over 1 year ago
  • One of my favorite topics in DE is CAP Theorem. Has anyone managed to accomplish all 3 at once yet or is it truly impossible like the theorem states.
    Look at the architecture and performance of Google's Cloud Spanner, a CP system with 99.999% availability... https://cloud.google.com/spanner. Source: over 1 year ago
  • Vaultree and AlloyDB: the world's first Fully Homomorphic and Searchable Cloud Encryption Solution
    In my opinion, Google has built some fantastic database services like Bigtable and Spanner, which literally changed the industry for good, and I am eager to see how they will build upon this new service. With AlloyDB's disaggregated architecture, the dystopian world where I only pay for SQL databases per query and the stored data on GCP seems closer than ever. - Source: dev.to / over 1 year ago
View more

Amazon DynamoDB mentions (0)

We have not tracked any mentions of Amazon DynamoDB yet. Tracking of Amazon DynamoDB recommendations started around Mar 2021.

What are some alternatives?

When comparing Google Cloud Spanner and Amazon DynamoDB, you can also consider the following products

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

MySQL - The world's most popular open source database

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Oracle DBaaS - See how Oracle Database 12c enables businesses to plug into the cloud and power the real-time enterprise.

SAP HANA - SAP HANA is an in-memory, column-oriented, relational database management system.

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