Service and Support
Customers mention challenges in reaching technical support, noting slow response times. Organizations with dedicated technical managers rely on them for assistance. Some users, however, praise Google for stable services and proactive communication, finding no need to engage with support due to seamless operations. Google provides consistent updates and information, ensuring smooth functionality without direct support interactions.
Deployment
Google Cloud Dataflow's initial setup is generally straightforward and quick, taking from a few minutes to hours, even days, depending on the knowledge level and specific environment requirements. It typically requires understanding of the Google Cloud platform, which can be challenging for newcomers. While some find its serverless nature eases the process, others need vendor support for infrastructure and expertise. Users rate its ease between seven and ten out of ten.
Scalability
Google Cloud Dataflow demonstrates strong scalability on the cloud, efficiently managing increasing data and usage. It supports a varying number of users in organizations, performing well with different numbers and types of nodes. Users find it scalable, rating it highly for its adaptability. Auto-scaling features allow for customized processing demands, although cost management can be a concern. Users appreciate how it scales with organizational growth without requiring proportional increases in engineering resources.
Stability
Users consistently find Google Cloud Dataflow stable, highlighting its strong performance and reliability. Many rate its stability highly, with scores ranging from six to nine out of ten. No significant issues are commonly reported, and it is frequently mentioned that it benefits from being backed by Google's robust infrastructure. Multiple users mention satisfaction with its normal stability, showcasing confidence in its consistent performance.
