Team Lead at a financial services firm with 5,001-10,000 employees
Real User
Top 20
2025-07-02T03:08:16Z
Jul 2, 2025
One point for improvement in Google Cloud Bigtable is that people have confusion in mapping. There are many similar products available, and Google has managed services for similar products as well. It would be easier if the journey of knowing when to use Google Cloud Bigtable versus other Cloud SQL and alternates such as Cloud Spanner is made clearer for users. Regarding additional functionality for Google Cloud Bigtable, I am uncertain if LLMs can be integrated or if Google Cloud Bigtable can act as a vector store for LLM-specific use cases where we are interacting or using generative AI capabilities.
Data Analyst at a university with 1,001-5,000 employees
Real User
Top 20
2024-01-24T19:13:37Z
Jan 24, 2024
The lagging problem of the product I face is an area of concern where improvements are required. In general, the performance of the product needs improvement.
While dealing with complex queries, you need to learn complex queries and type them up or write them up. 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.
Technical Software and Product Release Manager at a educational organization with 51-200 employees
Real User
2020-12-01T12:43:28Z
Dec 1, 2020
For onboarding customers, it is critical that there is transparency and that the price is reasonable. This product needs better security and transparency, and the price should be reduced.
Managed NoSQL Databases offer automated scalability, high availability, and low-latency data storage. They are ideal for handling unstructured data and dynamic schema changes while reducing manual administrative tasks.Managed NoSQL Databases simplify database management by offering cloud-based services with robust security, continuous updates, and maintenance. These solutions provide on-demand scaling and support for diverse data types, making them suitable for applications with fluctuating...
One point for improvement in Google Cloud Bigtable is that people have confusion in mapping. There are many similar products available, and Google has managed services for similar products as well. It would be easier if the journey of knowing when to use Google Cloud Bigtable versus other Cloud SQL and alternates such as Cloud Spanner is made clearer for users. Regarding additional functionality for Google Cloud Bigtable, I am uncertain if LLMs can be integrated or if Google Cloud Bigtable can act as a vector store for LLM-specific use cases where we are interacting or using generative AI capabilities.
The lagging problem of the product I face is an area of concern where improvements are required. In general, the performance of the product needs improvement.
While dealing with complex queries, you need to learn complex queries and type them up or write them up. 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 cost of this product is too expensive.
For onboarding customers, it is critical that there is transparency and that the price is reasonable. This product needs better security and transparency, and the price should be reduced.