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
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
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.
Google Cloud Bigtable provides large data capacity, fast computation speed, and robust security for efficient data management. It supports seamless querying and integration, making it suitable for users transitioning to the cloud.Google Cloud Bigtable is a managed service offering that facilitates efficient data handling through its high-performance capabilities and compatibility with other NoSQL databases. It is highly valued for its ability to manage and analyze large datasets, offering...
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.