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ON GCP, YOU'VE GOT OPTIONS

Streaming data in GCP? Reducing complexity and cost is key.

Managed streaming data services on GCP can remove a lot of the pain in handling high throughput, low latency data streams. But not all services can deliver on your performance, low complexity, and low cost requirements. Redpanda Cloud helps you support mission critical, high performance data streams without running up those migraine-inducing GCP bills.

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CHOOSE WISELY

How to choose the right fully managed streaming data service

GCP offers a marketplace of options to support your real-time data streams. Two popular choices for fully managed data streaming are Redpanda Cloud and Google Cloud Pub/Sub. When evaluating these services, its critical to think about your specific needs for simplicity, performance, cost, and reliability.

 
Redpanda Cloud
Google Cloud Pub/Sub
Key use cases 
Streaming data platform for managing high throughputs of real time events while supporting low latencies
 
Pipeline for real-time data analytics and processing
 
Broker for event-driven microservices and real time applications

Messaging middleware for traditional service integration

Simple message broker for microservices
Management Complexity 
Fully managed streaming data service for high-throughput, real time data feeds

Native Kafka API; no need to rewrite existing apps
 
Fully managed messaging service for sending and receiving messages among applications and services
 
Uses Google Cloud Pub/Sub API; can ingest messages from Apache Kafka using Google Pub/Sub Group Kafka Connector and Kafka Connect converters
GCP integration
Uses GCS natively for cloud storage
 
Integrates with GCP services like BigQuery and Google Cloud Functions
 
Available on the GCP Marketplace or Redpanda.com
Integrates with GCS for storage
 
Integrates with GCP services like BigQuery and Google Cloud Functions
 
Available directly through the GCP console and CLI
Performance
Achieves 10x lower average latencies vs Apache Kafka
 
Uses C++, thread-per-core architecture to maximize hardware utilization
Performance is highly variable depending on the workload—may struggle with very high throughput and in large scale deployments
Reliability
Raft-native architecture for replication is Jepsen- verified to be safe for data
 
99.9% uptime SLA
Guarantees at-least-once delivery
 
99.5-99.95% uptime SLA (depends on deployment)
Connectors
Fully managed connectors for popular databases, storage, and analytics tools
Connectors for some 3rd party logging and data integration tools
Data sovereignty
With BYOC clusters, data doesn’t leave your VPC on GCP
No support for residency data
Monitoring
Available natively via Prometheus
Available via Google Cloud console or Cloud Monitoring API
User interface
Redpanda Console is a fully integrated user interface, also compatible with Kafka
No native UI; requires 3rd party tools
Multi-cloud
Support for Google Cloud and AWS, plus Azure for self-hosted Redpanda (Azure support coming soon for Redpanda Cloud)
No multi-cloud support; available only on GCP

 

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ALL THE GOODS

Here's what you get with Redpanda Cloud

Redpanda Cloud is a fully managed streaming data service that provides everything you need to get from 0 to 1 with data streams in GCP.

simplicity
Simplicity

Redpanda Cloud offers a complete streaming data platform in one fully managed service, including brokers, HTTP proxy, and schema registry. That leaves zero external dependencies for you to manage. And it's easy to get going with Redpanda's developer-friendly console, CLI, and API interfaces.

speed
Speed

Redpanda's streaming data engine was designed to maximize the performance potential of modern infrastructure, resulting in 10x lower average latencies vs. Apache Kafka and Kafka-based services. This is due to innovations like Thread-per-Core architecture, C++ design, and async processing.

data sovereignty
Data Sovereignty

Redpanda's Bring Your Own Cloud (BYOC) offers a fully managed service, while keeping data in your own VPC environment to satisfy compliance and regulatory requirements. No more tradeoffs on operational agility and data sovereignty. Who says you can't have your cake and eat it too?

cost-efficiency
Cost Efficiency

Redpanda Cloud helps reduce your infrastructure spend because its efficient streaming data engine runs on 3x fewer compute resources on average vs Apache Kafka. Redpanda's native S3 storage delivers up to 8-9x savings in long term data retention costs.

reliability
Reliability

Redpanda Cloud offers reliable data streaming at scale with data safety, thanks to its Raft-based replication. It provides enterprise stability with atuomatic data and partition balancing, fully managed upgrades and patching, and high availability with a 99.9% uptime SLA. 

ecosystem
Ecosystem Support

Redpanda Cloud offers managed connectors for the most popular data platforms including MongoDB, Snowflake, S3, MySQL, PostgreSQL, SQL Server, and more. Additionally, Redpanda's native Kafka API integrates with the full range of Kafka ecosystem tools. 

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HAVE IT YOUR WAY

It's simple to deploy Redpanda in whatever way your business needs

Redpanda is available in deployment options that suit your unique needs, including fully managed Redpanda Cloud Services, a free-to-use Community Edition, and self-hosted Enterprise Edition.

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Cloud - BYOC
Redpanda clusters hosted on your private  cloud, fully managed by Redpanda, so that your data never leaves your environment.
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Cloud - Dedicated
Fully managed Redpanda clusters hosted on our dedicated resources and configurable instance types in Redpanda Cloud.
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Community Edition
All the capabilities you need to get streaming in our free, source-available edition.
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Enterprise Edition
Store limitless data cost-effectively. Deploy mission-critical applications and services with confidence.
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SMARTLUNCH

"As far as the SmartLunch team is concerned, Redpanda's "plug-and-play" nature offers a unique simplicity that lets us sleep better at night."

- Michael Oblak, CTO @ SmartLunch

liveramp
LIVERAMP

"Redpanda BYOC gives us a fully managed Kafka service running on our own cloud servers, balancing our internal compliance requirements with ease of use, and without compromising performance and compatibility."

- Kannan D.R., Enterprise Data Architect @ LiveRamp

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READY TO GET STARTED?

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