Google Cloud Bigtable vs Microsoft Azure Cosmos DB comparison

Google Cloud Bigtable vs. Microsoft Azure Cosmos DB

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Categories and Ranking

Google Cloud Bigtable

Ranking in Managed NoSQL Databases

3rd

Average Rating

8.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Microsoft Azure Cosmos DB

Ranking in Managed NoSQL Databases

1st

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Market share comparison

As of June 2024, in the Managed NoSQL Databases category, the market share of Google Cloud Bigtable is 6.9% and it decreased by 35.1% compared to the previous year. The market share of Microsoft Azure Cosmos DB is 22.4% and it increased by 19.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Managed NoSQL Databases

Unique Categories:

No other categories found

Featured Reviews

Tirth Patel

Data Analyst at a university with 1,001-5,000 employees

Jan 24, 2024

A tool that is helpful in the composition of reports and dashboards

Google Cloud Bigtable's integration capabilities with Google's Services and Oracle Database are beneficial. Oracle Database is one of the sources from where I get data, and it is also very easy and reliable for me to use since I have experience with Google Cloud Bigtable for a year. Those who plan to buy the solution need to understand their data in the first place. Potential buyers of the tool need to prepare data by cleaning and arranging the data from the sequence while evaluating some areas of performance, like statistical performance, after which it would be easy to use Google Cloud Bigtable. There is a high level of consistency in Google Cloud Bigtable when it comes to areas like data consistency and availability of the tool at work. I rate the level of consistency offered by the tool a ten out of ten. I rate the overall tool a ten out of ten.

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Vineeth Marar

Cloud solution architect at 0

Feb 20, 2024

Effective for storing unstructured data, providing flexibility and scalability but initial setup may be challenging for those unfamiliar with the system

The low-latency data access provided by Cosmos DB improved application performance. Application performance improvement depends on what kind of optimization you're looking for. Do you want to improve latency or efficiency? Performance tuning depends on that specific goal. Here's an example: A customer with an application running in an internal system noticed their outbound data flow and charges increasing every month. They were exporting a lot of data for users in Excel format, which was heavy. I suggested they export the data in CSV format instead. It's lightweight and users can still open it in Excel. This optimizes data usage and costs without compromising user experience. Cosmos DB now supports unstructured data. It's a key-value store, so we can send data without worrying about strict structure, data types, and so on. Since it's unstructured, it's lighter than a structured database.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The most valuable feature is the backup and replication service."

"Bigtable is faster than other competitors in the market. It helps us collate all the data, and the security features are great. The latency is low, and the computation speed is fantastic. Bigtable is also a managed service, so you don't have to worry about anything aside from analyzing the data ingested."

"Stability-wise, it is a simple solution. I rate the solution's stability a ten out of ten."

"It's very user-friendly where streaming data is required."

"Scalability-wise, I rate the solution a ten out of ten."

"The solution is very convenient."

"The most valuable features for our organization with Azure Cosmos DB are multi-master capability for applications, automatic failover ensuring high availability, scalability, support for multiple data models, and low-latency access."

"The solution is highly scalable."

"From a global distribution perspective, Microsoft Azure Cosmos DB is good and easy to handle."

"Cosmos is a PaaS, so you don't need to worry about infrastructure and hosting. It has various APIs that allow it to integrate with other solutions. For example, we are using a MongoDB-compatible API for customers, which makes it easier for developers on the team who previously used MongoDB or are accustomed to the old document storage paradigm."

"One of the nice features is the ability to auto-scale"

"It is non-SQL and helps to manage and manipulate data from the coding, rather than direct data and complex queries."

"Since it's a managed service, Azure backend handles scalability. From a user's perspective, we don't need to worry about scalability."

"It is one of the simpler databases to work with in terms of code management, tracking, and debugging due to its straightforward data storage and retrieval mechanisms."

More Microsoft Azure Cosmos DB pros

Cons

"The lagging problem of the product I face is an area of concern where improvements are required."

"This product needs better security and transparency, and the price should be reduced."

"I've used Bigtable for about three or four years."

"Improvement should be made as per customer recommended and requirements."

"The cost of this product is too expensive."

"When it comes to complex queries, a user can't get any help from a drop-down box and pick columns. It would be great if some improvements could be made in the aforementioned area concerning the solution."

"It's still new, and good training resources are harder to find. Even the most recent books on Cosmos DB are several years old, which is ancient in IT terms."

"A further simple application is required for Brazil."

"I would like the speed of transferring data to be improved."

"It should offer a simple user interface for querying Microsoft Azure Cosmos DB."

"I would like to see Cosmos DB introduce a feature that would convert machine language to human-readable queries."

"The built-in integration of the solution is tight."

"It would be nice to have more options to ingest the data, for example, more file options or more search options. Currently, you can use JSON, but if there were other file types you can use for data ingestion, that would be nice."

"Microsoft Azure Cosmos DB's pricing model is complicated, which people don't understand."

More Microsoft Azure Cosmos DB cons

Pricing and Cost Advice

Information not available

"Cosmos DB is expensive compared to any virtual machine based on conventional RDBMS like MySQL or PostgreSQL."

"The solution is very expensive."

"The pricing model of Microsoft Azure Cosmos DB is a bit complex."

"The cost is the biggest limitation of this solution."

"Microsoft Azure Cosmos DB is moderately priced, where it is neither expensive nor cheap."

"The RU's use case determines our license fees."

"The price of Microsoft Azure Cosmos DB could be a bit lower."

"With heavy use, like a large-scale IoT implementation, you could easily hit a quarter of a million dollars a month in Azure charges if Cosmos DB is a big part of it."

More Microsoft Azure Cosmos DB pricing and cost advice

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787,061 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

University

15%

Computer Software Company

14%

Financial Services Firm

Retailer

Computer Software Company

14%

Financial Services Firm

12%

Retailer

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Google Cloud Bigtable?

Scalability-wise, I rate the solution a ten out of ten.

What needs improvement with Google Cloud Bigtable?

The lagging problem of the product I face is an area of concern where improvements are required. In general, the performance of the product needs improvement.

What is your primary use case for Google Cloud Bigtable?

When a client gives our organization a project where they need a dashboard for their company, they provide us with some data from their database, which is usually presented in Google Cloud Bigtable...

What do you like most about Microsoft Azure Cosmos DB?

The initial setup is simple and straightforward. You can set up a Cosmos DB in a day, even configuring things like availability zones around the world.

What is your experience regarding pricing and costs for Microsoft Azure Cosmos DB?

With heavy use, like a large-scale IoT implementation, you could easily hit a quarter of a million dollars a month in Azure charges if Cosmos DB is a big part of it.

What needs improvement with Microsoft Azure Cosmos DB?

The downside is that Cosmos is new and fairly complex. There's a limited pool of talent who are really good at working with it. Because of that, I've been approached by recruiters quite a bit; they...

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Product Reports

Managed NoSQL Databases

Download Google Cloud Bigtable product report

Microsoft Azure Cosmos DB

Download Microsoft Azure Cosmos DB product report

Also Known As

No data available

Microsoft Azure DocumentDB, MS Azure Cosmos DB

Learn More

Google

Microsoft

Overview

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.

DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development. As a schema-free NoSQL database, DocumentDB provides rich and familiar SQL query capabilities with consistent low latencies on JSON data - ensuring that 99% of your reads are served under 10 milliseconds and 99% of your writes are served under 15 milliseconds. These unique benefits make DocumentDB a great fit for web, mobile, gaming, and IoT, and many other applications that need seamless scale and global replication.

Sample Customers

Cognite, Dow Jones, Loblaw Digital

American Cancer Society, Exxon Mobil, Symantec

Google Cloud Bigtable vs. Microsoft Azure Cosmos DB