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."
"The solution is very convenient."
"It's very user-friendly where streaming data is required."
"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."
"Scalability-wise, I rate the solution a ten out of ten."
"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."
"Microsoft Azure Cosmos DB's most valuable feature is latency."
"The product has a lot of useful features that are there and ready to use, it's also very easy to use."
"The biggest benefit it offers is scalability. It's easier to work with concurrency and updating data."
"With Azure you can start small and grow as you need."
"The solution is easy to use, and it is also easy to integrate with several things for database use cases."
"It is a NoSQL database."
"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."
"This product needs better security and transparency, and the price should be reduced."
"I've used Bigtable for about three or four years."
"The lagging problem of the product I face is an area of concern where improvements are required."
"Improvement should be made as per customer recommended and requirements."
"The cost of this product is too expensive."
"The support tickets are not cheap."
"The pricing of the solution is an area with certain shortcomings."
"Microsoft Azure Cosmos DB's performance could be better. In large volumes of documents, the querying process becomes slow and complicated."
"The solution’s pricing could be improved."
"Microsoft Azure Cosmos DB's pricing model is complicated, which people don't understand."
"It would be ideal if we could integrate Cosmos DB with our Databricks. At this point, that's not possible."
"The API compatibility has room for improvement, particularly integration with MongoDB. You have to connect to a specific flavor of MongoDB. We'd also like a richer query capability in line with the latest Mongo features. That is one thing on our wish list. The current version is good enough for our use case, but it could be improved."
"The solution cannot join two databases like Oracle or SQL Server."
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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