At Redpanda, our mission is to give engineering teams a data streaming platform that's fast, simple, and built for the real-time, AI-driven workloads they're shipping today. That mission is most meaningfully validated by the folks using the product every day, which is why we're beyond proud to share that Redpanda has been recognized in 10 G2 Fall 2026 reports for Event Stream Processing, including a #1 ranking in 8 of them.
The rankings at a glance
Out of 26 vendors evaluated in the Event Stream Processing category, Redpanda earned the following placements this quarter:
#1 of 25 — Momentum Grid® Report for Event Stream Processing
#2 of 26 — Grid® Report for Event Stream Processing
#1 of 12 — Usability Index for Event Stream Processing
#1 of 11 — Results Index for Event Stream Processing
#1 of 20 — Relationship Index for Event Stream Processing
#1 of 12 — Implementation Index for Event Stream Processing
#1 of 8 — Mid-Market Grid® Report for Event Stream Processing
#1 of 8 — Mid-Market Relationship Index for Event Stream Processing
#1 of 6 — Mid-Market Usability Index for Event Stream Processing
#2 of 6 — Mid-Market Implementation Index for Event Stream Processing
Redpanda Streaming also holds a 4.7 out of 5 average rating across 53 reviews on G2, with customers most frequently calling out exceptional support, ease of use, and fast, reliable performance as reasons for the score.
That’ll do, pandas. That’ll do.
How G2 defines event stream processing
Event stream processing software is built to handle data as it arrives, not in scheduled batches, enabling organizations to store, manage, and analyze streaming data in real time as it moves through their systems, rather than waiting on periodic jobs to catch up.
To qualify for G2's Event Stream Processing category, vendors need to:
- Ingest and process continuous streams of event data in real time
- Support the transformation, filtering, and enrichment of data as it moves through the pipeline
- Provide the infrastructure organizations need to build event-driven applications at scale
Here’s where we landed. (Hover to see where the others landed, too.)
What this means for teams
These rankings reflect the Redpanda Data Platform side of things (streaming, SQL, and connectivity) and the customer outcomes map directly to what teams evaluating a switch often look for:
- Reduce risk and complexity. Migrating to Redpanda comes with simpler operations, a smaller infrastructure footprint, and a proactive support team that customers can speak to directly the second they need help. This means teams get hours and headcount back that used to go into managing, tuning, and troubleshooting traditional Kafka systems.
- Keep costs low. Leaner infrastructure translates to smaller bills. Johnson Controls cut its Kafka bill by 50%, lowering TCO by $1.6M, after migrating its global footprint in 8-10 weeks. Chess.com saved $400K annually while doubling streaming capacity. StoneX now runs the same workloads on 5-6x fewer resources. Independent research from ISG has also recognized Redpanda for delivering 3-6x greater cost efficiency than traditional Kafka.
- Unlock new use cases. A single system that supports everything from event-driven microservices to real-time analytics is what lets engineering teams ship new, revenue-generating capabilities instead of babysitting infrastructure. And, with growing interest in Redpanda's agentic governance capabilities, customers are already thinking about how Redpanda fits into their AI roadmaps, not just their existing Kafka use cases.
What customers are saying
Don’t just take our word for it, and check out our customer success stories specific to your industry.
Get to know Redpanda
Being named a Leader across 10 G2 Fall 2026 reports for Event Stream Processing is a reflection of the trust our customers place in Redpanda every day. Their feedback shapes our roadmap and keeps us focused on what actually matters to engineering teams: speed, simplicity, and a partner who shows up when it counts.
If you're looking for a data streaming platform that delivers Kafka compatibility without the Kafka tax, we'd love to show you the Redpanda difference.
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