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.
"It's very user-friendly where streaming data is required."
"The most valuable feature is the backup and replication service."
"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 product has a lot of useful features that are there and ready to use, it's also very easy to use."
"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."
"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."
"The most valuable features of Microsoft Azure Cosmos DB were the general infrastructure, ease to use, and interface."
"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."
"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."
"The solution is extremely user-friendly and easy to navigate."
"Cosmos DB is stable and easy to use."
"The cost of this product is too expensive."
"This product needs better security and transparency, and the price should be reduced."
"I've used Bigtable for about three or four years."
"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."
"We should have more freedom to tweak it and make our own queries for non-traditional use-cases."
"It would be ideal if we could integrate Cosmos DB with our Databricks. At this point, that's not possible."
"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."
"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."
"Better documentation on how to integrate with other components would be helpful because I was struggling with this."
"I have to say technical support is not very good as it takes too long. Sometimes it can take them two or three days to respond to your ticket."
"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."
Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development. As a schema-free NoSQL database, DocumentDB provides rich and familiar SQL query capabilities with consistent low latencies on JSON data - ensuring that 99% of your reads are served under 10 milliseconds and 99% of your writes are served under 15 milliseconds. These unique benefits make DocumentDB a great fit for web, mobile, gaming, and IoT, and many other applications that need seamless scale and global replication.
Google Cloud Bigtable is ranked 3rd in Managed NoSQL Databases with 3 reviews while Microsoft Azure Cosmos DB is ranked 1st in Managed NoSQL Databases with 9 reviews. Google Cloud Bigtable is rated 8.0, while Microsoft Azure Cosmos DB is rated 8.0. The top reviewer of Google Cloud Bigtable writes "It's faster than other solutions on the market". On the other hand, the top reviewer of Microsoft Azure Cosmos DB writes "It has various APIs that allow it to integrate with other solutions". Google Cloud Bigtable is most compared with Amazon DynamoDB, Amazon Timestream and Oracle NoSQL Database Cloud, whereas Microsoft Azure Cosmos DB is most compared with Amazon DynamoDB, Amazon DocumentDB, Amazon Neptune, Amazon Timestream and Oracle NoSQL Database Cloud. See our Google Cloud Bigtable vs. Microsoft Azure Cosmos DB report.
See our list of best Managed NoSQL Databases vendors.
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