I like the efficiency of Batch to handle job executions, standardizing the way of writing and executing the scripts by building docker images of the executable scripts and pushing to the artifact registry repositories, which is simple to set up and execute them. Additionally, the batch automatically manages the infrastructure for us which becomes easy for us users. It can run long running jobs which can be for adhoc process also very convenient to design them to execute daily ETL jobs. The customer support of Google Cloud is good, we had to increase the quota request for batch jobs and they were prompt in responding and resolving the issue. On the integration, it can be integrated with the Google services in our case we integrated with Google Workflow and also using the batch API you can integrate it easily. Review collected by and hosted on G2.com.

The thing I dislike about Batch is that while we trigger the batch to run a dockerized script, it takes a few minutes to execute which is in sequence - the job goes to queued then to scheduled and then provisions the instance in which the executables will be running - this takes time which can be frustrating while you are in the development/testing phase. Also, quota limitations - if say you are using compute engines as the resource type for running batch then the quota limit of the compute engine will affect if you are looking for scalability, it can be resolved with the help of customer support. Review collected by and hosted on G2.com.

It is an excellent service capable of handling high-performance, batch-oriented workloads. It offers seamless scalability and easy integration with various GCP services, such as BigQuery for analytics and Pub/Sub for notifications. Additionally, it is highly cost-efficient, supports automated job scheduling, and ensures efficient resource allocation. We frequently use this service in the project. They also have good customer support. And also it is easy to implement. Review collected by and hosted on G2.com.

GCP Batch is a powerful service, it has some challenges, such as a steep learning curve for new users and limited real-time visibility during job execution, which can make troubleshooting complex workflows difficult. Its reliance on the GCP ecosystem may restrict flexibility in multi-cloud or hybrid-cloud setups, and resource allocation is subject to GCP quotas, which might need adjustments for large-scale workloads. Additionally, using cost-efficient preemptible VMs can lead to interruptions, potentially delaying non-fault-tolerant jobs. Despite its strengths, these factors can pose hurdles for certain projects. Review collected by and hosted on G2.com.

Google Batch is a powerful tool for organizations looking to efficiently manage batch processing jobs in the cloud. Easy to implement, particularly for users familiar with the Google Cloud ecosystem. The frequency of use for Google Batch can vary significantly based on the specific needs and workflows of an organization. Customer support is part of the broader Google Cloud support ecosystem

Ease of Use: Google Batch simplifies the setup process, allowing users to define batch jobs easily without extensive cloud infrastructure knowledge.

Integration: Works seamlessly with other Google Cloud services, such as Cloud Storage and BigQuery, enhancing data processing workflows.

Monitoring and Logging: Offers built-in monitoring tools to track job status and performance metrics, aiding in troubleshooting. Review collected by and hosted on G2.com.

Users are locked into the Google Cloud ecosystem, which might not be ideal for organizations looking for multi-cloud strategies or those with existing infrastructure on other platforms. Review collected by and hosted on G2.com.

It can run large scale jobs and distributes across cloud resources without manual intervention. The scalable features is amazing and not let's worry about limitations. Review collected by and hosted on G2.com.

Sometimes the batch jobs fails without any reason (ssh outs) Review collected by and hosted on G2.com.

1. it's seamless integration with Google Cloud products like big query and storage.

2. Track progress in real-time with autoscaling functionality.

3. it's easy to use and implement for large-scale datasets with resource optimisation. Review collected by and hosted on G2.com.

The learning curve for setting the Google Batch is steep mostly in setting the configuration. it also have minimal support for hybrid cloud support and with other cloud providers. Review collected by and hosted on G2.com.

Automation of repetitive tasks which save time and reduces the manual intervention along with the scalability to handle large volume of data and task Review collected by and hosted on G2.com.

Flexibility is very limited and cannot be used for all situations also the initial setup is quite complex Review collected by and hosted on G2.com.

Batch is a real-time data platform and provides a unified way to the users, modern orchestration for 1-to-many precise messaging and 1-to-1 automation, and extensive integration options. Review collected by and hosted on G2.com.

There is no such thing that I have felt till now. Review collected by and hosted on G2.com.

The CRM platform which is introduced helps us to build meaningful customer relationships. As it is a real-time data platform, it is easy to make and show changes. Review collected by and hosted on G2.com.

As of now, I have not encountered any drawbacks while using this application. Review collected by and hosted on G2.com.

Great responsive UX friendly platform for fast customer care service on technical and marketing issues. Review collected by and hosted on G2.com.

The lack of interactivity to navigate between the tools can be made a bit more easier. Review collected by and hosted on G2.com.

Scalability is one of the features that I liked most as it can scale resources based on the demands Review collected by and hosted on G2.com.

Integration with other services and configuring security settings might be complex and time consuming Review collected by and hosted on G2.com.