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."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 most valuable feature is the backup and replication service."
"Scalability-wise, I rate the solution a ten out of ten."
"The solution is very convenient."
"It's very user-friendly where streaming data is required."
"With Azure you can start small and grow as you need."
"The solution is user friendly and Microsoft's technical support is good."
"It's highly scalable and supports consistency, security, and multiple security options."
"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."
"Its wide support to the ecosystem is valuable. We can use this database with a lot of use cases, and that's one of the reasons why we prefer it. We have a lot of vendors, databases, and use cases, and wherever possible, we are trying to standardize databases. It is also secure."
"Cosmos DB makes life easier because if we want to use Mongo-type data, or Cassandra-type data, or maybe even just a simple cable storage-type data, then graph, there are multiple ways to do this."
"One of the nice features is the ability to auto-scale"
"Cosmos DB is stable and easy to use."
"This product needs better security and transparency, and the price should be reduced."
"I've used Bigtable for about three or four years."
"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."
"Improvement should be made as per customer recommended and requirements."
"The lagging problem of the product I face is an area of concern where improvements are required."
"The built-in integration of the solution is tight."
"The biggest problem is the learning curve and other database services like RDS."
"The pricing of the solution is an area with certain shortcomings."
"An improvement would be a more robust functionality around updating elements on a document, or some type of procedural updates that don't require pulling the entire document."
"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."
"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."
"A couple features that would help me in architectural solutions would be customizable architecture or customizable documentation, which both Microsoft Azure or Microsoft Teams can provide."
"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."
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, Amazon DocumentDB, Neo4j AuraDB and Amazon Timestream. See our Google Cloud Bigtable vs. Microsoft Azure Cosmos DB report.
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