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."
"The solution is very convenient."
"Scalability-wise, I rate the solution a ten out of ten."
"The most valuable feature is the backup and replication service."
"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."
"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."
"The biggest benefit it offers is scalability. It's easier to work with concurrency and updating data."
"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."
"It works reasonably fast. You can retain the original format of the document as received by the third-party system."
"With Azure you can start small and grow as you need."
"The solution is highly scalable."
"The best feature is the velocity to make a query."
"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."
"The cost of this product is too expensive."
"Improvement should be made as per customer recommended and requirements."
"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."
"We should have more freedom to tweak it and make our own queries for non-traditional use-cases."
"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."
"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 integration of the on-premise solution with the cloud can be difficult sometimes."
"The initial setup was difficult."
"The solution’s pricing could be improved."
"I have been a devoted Microsoft fan, but Redis DB's memory caching capabilities are really making progress. Even if Cosmos DB is continuously improving and is quite advanced in the field of internal memory optimization, I would still recommend Redis DB to a customer."
"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, Neo4j AuraDB, Amazon DocumentDB and Amazon Timestream. See our Google Cloud Bigtable vs. Microsoft Azure Cosmos DB report.
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We monitor all Managed NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
