Google Cloud named a leader in the Forrester Wave: Streaming Analytics

We’re pleased to announce that Forrester has named Google Cloud as a leader in The Forrester Wave(TM): Streaming Analytics, Q3 2019. We believe the findings reflect Google Cloud’s market momentum, and what we hear from our satisfied enterprise customers who are using Cloud Pub/Sub and Cloud Dataflow in production for streaming analytics in conjunction with our broader platform.

According to Forrester, many leading enterprises realize that real-time analytics–the analytics of what’s happening with data in the present–is an incredible competitive advantage. With it, they can act right away to serve customers, fix operational problems, power internet of things (IoT) apps, and respond decisively to competitors. The report evaluates the top 11 vendors against 26 rigorous criteria for streaming analytics to help enterprise IT teams understand their options and make informed choices for their organizations. Google scored 5 out of 5 in Forrester’s report evaluation criteria of scalability, availability, aggregates, management, security, extensibility, ability to execute, solution roadmap, partners, community, and customer adoption.

How Cloud Pub/Sub and Cloud Dataflow work for users
There’s a lot of pressure on companies today to become data-driven, but they need high-performing technology to make that a reality. As part of our larger cloud data analytics platform, Cloud Pub/Sub and Cloud Dataflow are designed for ease of use, scalability, and performance. We’re especially pleased that our recognition as a Leader in the Forrester Wave: Streaming Analytics mirrors what we hear from our customers: The report notes that “Google Cloud unifies streaming analytics and batch processing the way it should be. No compromises.” While stream analytics is a leading business priority, real-life use cases frequently require batch data as an input as well. Google Cloud Platform (GCP) customers can simplify their pipeline development by reusing code across both batch and stream processing using Apache Beam, which also provides pipeline portability to OSS projects. Further, Google Cloud’s data analytics portfolio autoscales across ingestion, processing, and analysis, which eliminates the need for provisioning and makes handling varying volumes of streaming data automatic. We hear from users that they’re able to ingest and process data much more quickly than in the past, helping to get new business insights faster and allowing more users to do self-serve analytics.

Cloud Pub/Sub is our stream event ingestion service, which uses a publish/subscribe pattern to deliver events across stream, batch, and unified pipelines. Cloud Pub/Sub is a global service that enables data engineers to automatically scale without provisioning, partitioning, or isolation concerns. We hear that users choose this because it allows them to be production-ready from day one, with end-to-end encryption, virtually unlimited throughput, and high data durability and availability with cross-zone replication. They’re able to access more data faster to find new insights and focus on new projects, not managing infrastructure.