Redpanda Data
- Company typePrivate
- Founded2021
- HeadquartersSan Francisco, United States
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
What Redpanda Data does
Redpanda Data, Inc. is a San Francisco-based data infrastructure company founded by Alex Gallego that has built a Kafka-compatible streaming platform on a C++ engine, eliminating JVM dependencies and delivering what the company reports as 10x the throughput and 6x lower total cost of ownership versus Apache Kafka. The core product suite comprises Redpanda Streaming (the C++ engine), Redpanda Connect (300+ pre-built data connectors acquired via Benthos in June 2024), Redpanda SQL (a PostgreSQL-compatible distributed OLAP engine), and the Agentic Data Plane — a governance layer introduced in 2026 for deploying enterprise AI agents with centralized policy management, AI observability via OpenTelemetry, kill switch controls, MCP Gateway connectivity to 300+ data sources, and unified authentication/authorization. The platform supports BYOC (Bring Your Own Cloud), Dedicated managed cloud, self-managed, and Serverless deployment modes, with SOC 2 Type II compliance and active-passive Shadowing for disaster recovery.
Redpanda Data firmographics
Firmographics- Name
- Redpanda Data
- Legal name
- Redpanda Data, Inc.
- Website
- https://redpanda.com
- Company type
- Private
- Founded year
- 2021
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Ownership category
- akta.pro rank
Redpanda Data industry classification
Industry- Product category
- Streaming Data Infrastructure
- NAICS
- Software Publishers (513210), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Event Streaming & Pub/Sub Platforms (HDAEAIAD)
- akta.pro secondary industries
- Real-Time / Streaming Data Warehousing (HDAEABAF), Data Platform (Unified Data & Analytics) Suites (HDAEABAD), Data Governance Platforms (Policies, Stewardship, Workflows) (HDAEADAB), Data & Analytics Platforms (Data Warehousing, Lakes, Streaming) (HDABAAAF)
Keywords
Where Redpanda Data is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
Redpanda Data business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations
Revenue model
- Redpanda Cloud - Dedicated: Fully managed cloud service running in Redpanda Data's cloud account, providing single-tenant cluster isolation with dedicated resources.
- Redpanda Cloud - BYOC: Bring Your Own Cloud deployment where clusters run in customer's own cloud account, offering managed service with customer infrastructure control.
- Self-Managed Deployment: On-premises or self-deployed licensing model for organizations preferring to manage their own infrastructure.
- Enterprise Support Services: Premium support and professional services accompanying enterprise deployments.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Monthly | Cloud-based managed service with multiple deployment options |
Go-to-market motion3 records
Distribution channels5 records
Marketing channels8 records
Redpanda Data product offering
Product offeringCore offering
Redpanda Data builds and sells a high-performance, Kafka-compatible streaming data platform written in C++, designed to replace legacy Apache Kafka infrastructure with zero JVM dependencies. The platform spans Redpanda Streaming (the core engine), Redpanda Connect (300+ data integration connectors), Redpanda SQL (PostgreSQL-compatible query engine), and the Agentic Data Plane (governance infrastructure for enterprise AI agents including kill switches, policy enforcement, and OpenTelemetry observability). Revenue is generated through subscription-based cloud deployments (Dedicated and BYOC), self-managed licensing, and enterprise support services.
Product overview
Redpanda Data offers a unified, high-performance data streaming platform comprising multiple integrated products: Redpanda Streaming (the core Kafka-compatible C++ engine), Redpanda Connect (300+ connector data integration pipelines, formerly Benthos), Redpanda SQL (PostgreSQL-compatible query engine), and the Agentic Data Plane (governance layer for AI agents including AI Gateway, MCP Gateway, and Redpanda AI Agents). The platform is designed for mission-critical real-time data infrastructure with 10x performance advantage over Apache Kafka, and has expanded into AI agent governance and orchestration.
Differentiator
Problem solved
Functional benefit
Brands
- Redpanda Connect: Data integration platform with 300+ connectors and declarative YAML pipelines for connecting data systems across hundreds of sources and sinks.
- Redpanda Streaming
- Redpanda SQL
- Agentic Data Plane
- Redpanda One
- Redpanda Serverless
- NYSE Cloud Streaming
Products and services
- Redpanda Streaming Kafka-compatible, C++ engine streaming platform with zero dependencies, delivering real-time data streaming at mission-critical scale for enterprises replacing legacy Apache Kafka.
- Redpanda Connect Data connectivity platform with 300+ declarative YAML pipeline connectors enabling data integration across hundreds of sources and sinks, used to integrate enterprise systems, databases, data warehouses, and AI agents with the streaming platform.
- Redpanda SQL PostgreSQL-compatible distributed OLAP engine for querying live and historical data spanning real-time streams and analytical databases, enabling SQL-based access to streaming data.
- Agentic Data Plane Governance infrastructure for deploying and running AI agents in production on enterprise data, providing centralized AI Gateway, MCP Gateway, AI observability via OpenTelemetry, kill switch controls, and unified authentication/authorization for agentic AI workloads.
- Redpanda One Multimodal streaming engine designed to unify different real-time data ingestion workloads into a single environment for AI applications, representing Redpanda's evolution beyond event brokering into stream processing.
Quantifiable outcome
- NYSE processes over 500 billion messages daily with 4-5x performance improvement over traditional Kafka
- +6 more outcomes
Companies that use Redpanda Data
Customer profileNamed customers28 records
Segments6 records
Ideal customer profiles2 records
Redpanda Data technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration16 records
AI capability6 records
Feature8 records
Redpanda Data partnerships and signals
Strategic signalPartnerships
Three partnerships are on record, tiered core.
- Akamai TechnologiescoreStrategic alliance formed in December 2025 to offer high-performance data streaming services for real-time AI-driven applications on Akamai's cloud platform. Redpanda joined Akamai's Qualified Compute Partner Program, enabling joint go-to-market activities for enterprise customers requiring edge computing and streaming capabilities.
- Oxla (Acquired)coreAcquisition of Oxla SQL query engine fast-tracked delivery of real-time analytics and intelligent data transformation capabilities within the Agentic Data Plane. Oxla's engineering talent enhanced Redpanda's ability to deliver ad-hoc querying and data transformation inside enterprise AI workflows.
- Benthos (Acquired, now Redpanda Connect)coreAcquisition of London-based Benthos stream processing platform resulted in unified connectivity framework called Redpanda Connect, offering 220+ pre-built connectors for AI systems, databases, and data warehouses. Benthos engineering team integrated into Redpanda to enhance connectivity capabilities.
Scale indicators11 records
Recent moves6 records
Expansion highlights8 records
Redpanda Data competitors and assessment
Company assessmentDirect peers
- Confluent: Confluent is the most direct competitor — it commercializes Apache Kafka (Confluent Platform / Confluent Cloud) and now bundles stream processing via Apache Flink. Redpanda positions explicitly as a 'Kafka-compatible, faster, cheaper' alternative with the same APIs, making Confluent the primary head-to-head in enterprise deals.
- Apache Kafka: The open-source project that defines the streaming API category Redpanda targets. Many customers run Apache Kafka directly, and Redpanda's value proposition is framed as a drop-in C++ replacement for self-managed Kafka deployments.
- StreamNative: StreamNative commercializes Apache Pulsar as a Kafka-API-compatible streaming platform with tiered storage. It targets the same Kafka-replacement buyer as Redpanda, especially for cloud-native, multi-tenant workloads.
- Materialize: Materialize offers a streaming SQL database built on Timely Dataflow, competing in the real-time analytics and streaming-query layer adjacent to Redpanda SQL. It targets similar financial services and ad-tech use cases for live, incremental SQL on streams.
Broad incumbents
- AWS (Amazon MSK / Kinesis): Amazon Managed Streaming for Apache Kafka (MSK) and Amazon Kinesis Data Streams are the hyperscaler-native streaming offerings Redpanda competes against inside AWS accounts. Redpanda's BYOC model explicitly targets customers who want Kafka-compatible streaming without AWS lock-in.
- Google Cloud (Pub/Sub): Google Cloud Pub/Sub is the managed streaming offering within Google's data platform. As Redpanda's lead investor GV is a Google affiliate, the relationship creates both partnership opportunities and competitive tension against Google's native streaming.
- Microsoft Azure (Event Hubs): Azure Event Hubs is Microsoft's managed streaming service and a common alternative in enterprise Azure estates. It overlaps with Redpanda's real-time streaming use cases, particularly for telemetry, IoT, and event ingestion.
Emerging players
- Ververica (Apache Flink): Ververica, the original creators of Apache Flink, offers a managed stream processing platform. It competes with Redpanda's higher-level processing ambitions (Redpanda One, Redpanda SQL) for stateful stream processing workloads.
- RisingWave Labs: RisingWave is a cloud-native streaming database with PostgreSQL-compatible SQL on streaming data — directly comparable to Redpanda SQL's value proposition. It targets similar real-time analytics use cases with a Postgres interface.
- WarpStream: WarpStream offers a Kafka-compatible streaming service built directly on object storage with a BYOC-style deployment model. It competes head-to-head on cost and operational simplicity against Redpanda Cloud's BYOC offering.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks1 record
Key highlights7 records
Customer concentration
Redpanda Data social profiles
Digital presenceRedpanda Data compliance and trust
Trust signalCompliance1 record
Redpanda Data financial estimates
Financial estimateRevenue estimate
Valuation estimate
Redpanda Data leadership team
Management profileNumber of profiles
Profiles8 records
Redpanda Data subsidiaries and ownership
Company hierarchySubsidiaries2 records
Redpanda Data funding detail
Funding detailFunding overview
Funding rounds5 records
Investors3 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Redpanda Data M&A and investment
M&A and investmentM&A2 records
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Redpanda Data
What does Redpanda Data do?
Redpanda Data builds and sells a high-performance, Kafka-compatible streaming data platform written in C++, designed to replace legacy Apache Kafka infrastructure with zero JVM dependencies. The platform spans Redpanda Streaming (the core engine), Redpanda Connect (300+ data integration connectors), Redpanda SQL (PostgreSQL-compatible query engine), and the Agentic Data Plane (governance infrastructure for enterprise AI agents including kill switches, policy enforcement, and OpenTelemetry observability). Revenue is generated through subscription-based cloud deployments (Dedicated and BYOC), self-managed licensing, and enterprise support services.
Is Redpanda Data a public or private company?
Redpanda Data is a private company. It is classified as venture growth investor backed and is currently operating.
When was Redpanda Data founded?
Redpanda Data was founded in 2021. It employs 101 to 250 people.
Where is Redpanda Data based?
Redpanda Data is headquartered in San Francisco, United States, in the North America region.
How does Redpanda Data make money?
Four revenue lines are on record. Redpanda Cloud - Dedicated is the primary driver. The others are redpanda Cloud - BYOC, self-Managed Deployment and enterprise Support Services.
Who are Redpanda Data's main competitors?
Direct peers on record are Confluent, Apache Kafka, StreamNative and Materialize. Broad incumbents are AWS (Amazon MSK / Kinesis), Google Cloud (Pub/Sub) and Microsoft Azure (Event Hubs). Emerging players are Ververica (Apache Flink), RisingWave Labs and WarpStream.
Does Redpanda Data have an API?
Yes. Redpanda offers Kafka-compatible APIs for reading and writing streaming data, enabling seamless integration with existing Kafka clients and ecosystem components. PandaProxy provides an HTTP-based API for reading and writing to Redpanda. The platform also supports MCP Gateway for connecting AI agents to 300+ data sources. Developer documentation is at docs.redpanda.com.
What industry is Redpanda Data in?
Redpanda Data's product category is Streaming Data Infrastructure. Its primary akta.pro industry code is HDAEAIAD, Event Streaming & Pub/Sub Platforms, with a secondary code of HDAEABAF, Real-Time / Streaming Data Warehousing. Its NAICS code is 513210 and its SIC code is 7372.