We performed a comparison between Google Cloud Bigtable and Microsoft Azure Cosmos DB based on real PeerSpot user reviews.
Find out in this report how the two Managed NoSQL Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable feature is the backup and replication service."
"Scalability-wise, I rate the solution a ten out of ten."
"Stability-wise, it is a simple solution. I rate the solution's stability a ten out of ten."
"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."
"The solution is very convenient."
"It's very user-friendly where streaming data is required."
"Cosmos DB is a pretty stable solution. I would rate it a ten out of ten."
"It's highly scalable and supports consistency, security, and multiple security options."
"The biggest benefit it offers is scalability. It's easier to work with concurrency and updating data."
"The solution is extremely user-friendly and easy to navigate."
"What I like about Microsoft Azure Cosmos DB is that it's easy to do data ingestion and use the data in different applications. If you talk about business intelligence such as the Power BI tool, it's easy to connect because both are Microsoft products. With Microsoft Azure Cosmos DB, it's easy to connect and do data ingestion."
"With Azure you can start small and grow as you need."
"rate Azure support nine out of 10. They respond quickly and will help you manage costs. However, they mainly give you an overview of the issue, so they'll never have an in-depth idea of what you're doing. They aren't the owners of our product, so they don't know much about it, but they can ask you generally: What are you doing? Are you doing too many updates? How can we reduce the cost?"
"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 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."
"Improvement should be made as per customer recommended and requirements."
"I've used Bigtable for about three or four years."
"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."
"The cost of this product is too expensive."
"Microsoft Azure Cosmos DB's performance could be better. In large volumes of documents, the querying process becomes slow and complicated."
"Slight enhancements in integration interfaces, expanded dashboard functionalities, and broader use-case support would be beneficial."
"It doesn't support all databases."
"A further simple application is required for Brazil."
"It is not as easy to use as DynamoDB."
"The solution cannot join two databases like Oracle or SQL Server."
"At this stage, we would like more enterprise support. We use MongoDB a lot, and we're trying to get rid of MongoDB. So, I would like to see more features in the Cosmos DB API for MongoDB space."
"In Microsoft manufacturing, managers really need to know about the product."
Google Cloud Bigtable is ranked 3rd in Managed NoSQL Databases with 6 reviews while Microsoft Azure Cosmos DB is ranked 1st in Managed NoSQL Databases with 38 reviews. Google Cloud Bigtable is rated 8.8, while Microsoft Azure Cosmos DB is rated 8.0. The top reviewer of Google Cloud Bigtable writes "A stable product to help resolve production-related issues". On the other hand, the top reviewer of Microsoft Azure Cosmos DB writes "Removes bottlenecks related to databases in our application and works quickly because of reference keys". Google Cloud Bigtable is most compared with Amazon DynamoDB and Amazon Timestream, whereas Microsoft Azure Cosmos DB is most compared with Amazon Neptune, Amazon DynamoDB, Neo4j AuraDB, Amazon DocumentDB and Amazon Timestream. See our Google Cloud Bigtable vs. Microsoft Azure Cosmos DB report.
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