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."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."
"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."
"Scalability-wise, I rate the solution a ten out of ten."
"The most valuable feature is the backup and replication service."
"The solution is very convenient."
"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."
"I would recommend Cosmos. It made our lives a lot easier. There's not a big learning curve in order to understand the structure and how to use it."
"It's highly scalable and supports consistency, security, and multiple security options."
"It's not a specific feature that I value, but the scalability of this system is the most impressive aspect."
"The product has a lot of useful features that are there and ready to use, it's also very easy to use."
"The solution is easy to use, and it is also easy to integrate with several things for database use cases."
"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."
"The graphical representation of data is the most valuable feature of the solution."
"This product needs better security and transparency, and the price should be reduced."
"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 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."
"I've used Bigtable for about three or four years."
"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."
"I hope they improve the service. Before last year, improvements on Cosmos DB were very slow."
"Microsoft Azure Cosmos DB's performance could be better. In large volumes of documents, the querying process becomes slow and complicated."
"Its stability can be further improved."
"There is room for improvement in terms of stability."
"I don't think Cosmos DB has improved our organization. People are using it, but I'm not sure it's the best solution. For one, it's costly. Also, there are other issues with it. You cannot get all the records simultaneously. You can only get it in chunks of 1,500 maximum."
"It would be ideal if we could integrate Cosmos DB with our Databricks. At this point, that's not possible."
"The support tickets are not cheap."
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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