Asset ManagerRIA · CRD 323760SEC-Registered

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Confluent

Jay Kreps commercialized Apache Kafka as Confluent in 2014, building a data-streaming platform now used by Notion and SAS.

Confluent logo

Confluent

At Confluent, we harness the full power of the Microsoft ecosystem to deliver intelligent, scalable, and future-ready business solutions. Our deep expertise enables us to automate processes, analyze data, and empower smarter decision-making in today’s AI-driven digital economy. We modernize operations through smart automation and cloud-native solutions, helping businesses streamline workflows, enhance insights, and accelerate digital transformation. Our agile, scalable applications maximize the value of your technology investments, enabling you to lead with confidence in a rapidly evolving world.

General information

Firm type

Asset Manager

Year founded

2014

AUM

Undisclosed

Location

Region

North America

Country

United States

City

Scottsdale

Corporate office

899 West Evelyn, Mountain View, CA, United States

Additional offices

Reston, United States · London, United Kingdom · Dubai, United Arab Emirates · Barcelona, Spain · Bangalore, India · Singapore

Principals

Jay Kreps

Co-founder & CEO

Jun Rao

Co-founder

Neha Narkhede

Board Director

Matt Miller

Board Director

Mike Volpi

Board Director

Eric Vishria

Board Director

Jonathan Chadwick

Board Director

Greg Schott

Board Director

Lara Caimi

Board Director

Alyssa Henry

Board Director

Ryan Mac Ban

Management Team

Stephanie Buscemi

Management Team

Rohan Sivaram

Management Team

Rey Perez

Management Team

Shaun Clowes

Management Team

Colleen McCreary

Management Team

Rebecca Chavez

Management Team

Steve Deasy

Management Team

Sector focus

Enterprise SoftwareAI/ML

Frequently asked questions

Who runs Confluent, and how did the company start?

Jay Kreps is Co-founder and CEO. He built Apache Kafka alongside Jun Rao and Neha Narkhede while all three were engineers at LinkedIn, where the internal messaging system needed to process trillions of events per day. They founded Confluent in 2014 to sell a managed, cloud-native version of Kafka.

Is Confluent a product company or a services firm?

Confluent is a product company that sells a data-streaming platform, available either as a fully managed cloud service (Confluent Cloud) or as self-managed enterprise software (Confluent Platform). It does not operate as a services or consulting firm, though it sells support and training for its product.

What is Confluent's relationship to Apache Kafka?

Confluent was founded by the original co-creators of Apache Kafka and uses Kafka as the core engine inside its platform. The firm maintains full compatibility with open-source Kafka but has rearchitected its cloud service on a proprietary engine called Kora, which it claims delivers 20-90% better throughput than vanilla Kafka. Cluster Linking lets customers mirror data between open-source and Confluent environments.

Who are Confluent's named institutional customers?

Confluent publicly highlights SAS and Notion as customers. SAS reported a 69% reduction in data infrastructure costs after replacing its legacy pipelines with Confluent. Notion said it uses Confluent to power real-time features for over 100 million daily users.

Does Confluent participate in fund commitments, or is it only a software vendor?

Confluent is purely a software vendor selling a data-streaming platform. It is not an investment firm and does not manage a fund, make direct investments, or participate in co-investment vehicles.

How does Confluent's cloud pricing compare to open-source Kafka?

Confluent positions its cloud service as cheaper than self-managed open-source Kafka when total cost of operations is included, citing throughput savings documented in its 2025 Data Streaming Report. It offers a $400 free credit for new cloud sign-ups and sells through a consumption-based pricing model.

What industry segments does Confluent explicitly target?

Confluent's website lists financial services, retail and e-commerce, manufacturing, telecommunications, healthcare, and software/technology. Within financial services, it specifically calls out fraud detection, real-time payments, and risk analysis as named use cases.

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