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Google Cloud Bigtable VS Amazon DynamoDB

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

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Google Cloud Bigtable logo Google Cloud Bigtable

A high performance NoSQL database service for large analytical and operational workloads.

Amazon DynamoDB logo Amazon DynamoDB

Amazon DynamoDB is a fully managed NoSQL database service offered by Amazon.
  • Google Cloud Bigtable Landing page
    Landing page //
    2023-09-12
  • Amazon DynamoDB Landing page
    Landing page //
    2023-06-18

Google Cloud Bigtable videos

+ Add

Scalability Meetup @ Whitepages - Google Cloud BigTable

Amazon DynamoDB videos

+ Add

#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 Bigtable and Amazon DynamoDB)

Google Cloud Bigtable

Amazon DynamoDB

Databases
25 25%
Databases
75% 75
NoSQL Databases
22 22%
NoSQL Databases
78% 78
Relational Databases
26 26%
Relational Databases
74% 74
Developer Tools
100 100%
Developer Tools
0% 0

User comments

Share your experience with using Google Cloud Bigtable and Amazon DynamoDB. For example, how are they different and which one is better?
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Reviews

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

Google Cloud Bigtable Reviews

7 Best NoSQL APIs
When businesses need to scale, they want to do so with limited downtime. The Google Cloud Bigtable provides horizontal Scaling in a matter of seconds without any downtime. To scale, cluster nodes are quickly added to increase your overall Bigtable cluster. Google even provides the option of scaling out only for a matter of hours, to handle a large load of requests. Once the...
Source: www.programmableweb.com

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 Bigtable seems to be more popular. It has been mentiond 6 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 Bigtable mentions (6)

  • 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
  • Google Cloud Reference
    Cloud Bigtable: Petabyte-scale, low-latency, non-relational 🔗Link 🔗Link. - Source: dev.to / over 1 year ago
  • A Graph-Based Firebase
    > These triples say that the Layer with id 1 has a fontSize 20 and backgroundColor blue. Since they are different rows, there’s no conflict. This sounds a lot like Bigtable (https://cloud.google.com/bigtable), which also does last-write-wins conflict resolution layer. So this is adding a GraphQL + frontend layer to it? - Source: Hacker News / over 1 year ago
  • The 4 Types of NoSQL Databases You Need to Know
    Google's BigTable paper inspired this database design, and it is capable of handling large data loads on distributed machines. In addition, column-oriented databases provide efficient compression and high performance with aggregated queries such as sum, average, and minimum. - Source: dev.to / almost 2 years ago
  • Can someone help me understand why data batch processing and data streaming processing pose such different challenges in data management?
    Because of these and other differences, the tools used are also different. With batch processing, data might be read from large files, processed, and stored in an OLTP (Online Transaction Processing) database (like MySQL) or OLAP (Online Analytical Processing) system (like Google BigQuery). But these would not be good solutions for streaming applications, because they are not optimized for high throughput on a lot... Source: about 2 years 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 Bigtable and Amazon DynamoDB, you can also consider the following products

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

Azure Cosmos DB - NoSQL JSON database for rapid, iterative app development.

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

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

Amazon Aurora - MySQL and PostgreSQL-compatible relational database built for the cloud. Performance and availability of commercial-grade databases at 1/10th the cost.

Ninox - Ninox is a human-friendly database. Create your own Business Application with Ninox that matches your workflow. Ninox lets you integrate CRM, ERP, HR and many more...

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