Google Cloud Bigtable Reviews

Organizations primarily use Google Cloud Bigtable for data management and analytics, integrating with tools like Tableau and Looker. They collect and analyze data from various systems, providing insights through dashboards. Bigtable serves clients in sectors like automotive, assisting with transaction analysis and issue resolution. Projects often involve data curation before integration with Power BI for reporting. More clients are on Bigquery, but several rely on Bigtable for these operations.

Google Cloud Bigtable's customer service and support are efficient and responsive. Users appreciate the helpful technical support. Partners benefit from direct access to product teams and customer engineers, receiving timely assistance for queries. Some rely on the robustness of the tool, rarely needing support unless encountering minor issues like lagging. The positive feedback highlights strong support relations with Google Cloud Bigtable.

Many users found the initial setup of Google Cloud Bigtable to be straightforward, with no installation required due to its cloud-based nature. Experienced users found it particularly easy, especially with guidance. Deployment timelines varied from a month to six to eight weeks, depending on the implementation complexity. Google documentation provided sufficient support for resolving issues, aiding teams in managing the setup efficiently. Deployments occurred on cloud, hybrid, and on-premises models, facilitating data access.

Google Cloud Bigtable is highly scalable according to multiple users. With organizations currently ranging from ten to thirty users and plans for growth, resource allocation adapts efficiently. Users have consistently rated scalability features positively, with ratings reaching as high as eight or ten out of ten. Businesses across various environments trust Bigtable for its ability to handle expanding workloads without issue, indicating a well-received capacity for handling numerous active users.

Users report exceptional stability with Google Cloud Bigtable. Many give the stability a perfect rating, using the platform's on-premises version. Its stability depends on the infrastructure of the on-premises deployment model, but generally, it is recognized as a very stable platform. Organizations plan to continue using it in the future, indicating strong confidence in its reliability.