Google Cloud Dataflow and PubSub+ Platform are complementary products in the category of real-time data processing and messaging. Google Cloud Dataflow has the upper hand in big data processing due to its integration with Google Cloud services, while PubSub+ Platform excels in messaging features with its strong event streaming and reliable delivery capabilities.
Features:Google Cloud Dataflow is user-friendly and cost-effective, with seamless integration into the Google ecosystem, flexibility for various programming languages, and is built on Apache Beam. PubSub+ Platform provides reliable messaging, a flexible topic hierarchy, and the ability to connect using multiple protocols, including JMS and AMQP.
Room for Improvement:Google Cloud Dataflow could enhance its documentation and support for evolving user needs. It might also improve real-time analytics features beyond the core capability. PubSub+ Platform's learning curve can be steep, requiring better onboarding processes and documentation. It could also benefit from intuitive UI enhancements for administration and monitoring.
Ease of Deployment and Customer Service:Google Cloud Dataflow offers smooth integration within Google services with scalable infrastructure, noted for easy setup. PubSub+ Platform is versatile across environments but requires significant learning. The dedicated support team often receives positive feedback, providing seamless deployment across cloud and on-premises setups.
Pricing and ROI:Google Cloud Dataflow presents a competitive pricing model with significant cost benefits at scale. It is known for its potential ROI from efficient data handling. PubSub+ Platform might involve higher setup costs but offers high ROI through specialized messaging services and thoughtful long-term investment in messaging infrastructure.
The fact that no interaction is needed shows their great support since I don't face issues.
Google's support team is good at resolving issues, especially with large data.
Whenever we have issues, we can consult with Google.
Google Cloud Dataflow has auto-scaling capabilities, allowing me to add different machine types based on pace and requirements.
As a team lead, I'm responsible for handling five to six applications, but Google Cloud Dataflow seems to handle our use case effectively.
Google Cloud Dataflow can handle large data processing for real-time streaming workloads as they grow, making it a good fit for our business.
I have not encountered any issues with the performance of Dataflow, as it is stable and backed by Google services.
The job we built has not failed once over six to seven months.
The automatic scaling feature helps maintain stability.
Outside of Google Cloud Platform, it is problematic for others to use it and may require promotion as an actual technology.
I would like to see improvements in consistency and flexibility for schema design for NoSQL data stored in wide columns.
Dealing with a huge volume of data causes failure due to array size.
It is part of a package received from Google, and they are not charging us too high.
It supports multiple programming languages such as Java and Python, enabling flexibility without the need to learn something new.
The integration within Google Cloud Platform is very good.
Google Cloud Dataflow's features for event stream processing allow us to gain various insights like detecting real-time alerts.
PubSub+ Platform supports real-time shipment tracking, IT event management in multiclouds, and connects legacy and cloud-native systems for application modernization. It's utilized for trading, streaming market data, and app-to-app messaging, enhancing event-driven architectures with reliable message queuing.
Organizations adopt PubSub+ to efficiently transport events across hybrid and cloud environments, managing audit trails and long processing tasks. The platform aids integration through dynamic data publication, event mesh capabilities, and WAN optimization. Features like seamless integration, protocol agnosticism, and flexible topic hierarchy enhance versatility. Solace Admin Utility simplifies configuration and management, while the event portal allows hybrid deployment.
What are the key features of PubSub+ Platform?PubSub+ is implemented in industries requiring real-time data handling and integration between disparate systems. Financial institutions use it for trading and streaming market data, while logistics companies benefit from real-time shipment tracking. Enterprises apply it to modernize operations by connecting legacy systems with cloud-native applications, enhancing their architecture and ensuring data reliability across environments.
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