Real time data streaming platform

Business content: Development and sale of real-time data streaming platforms

Main customers: Financial institutions, retail businesses, telecommunications businesses, manufacturing industries, etc.

Earnings: 2024 1st quarter financial results
Sales: 0.9 billion dollars (26% increase over the same period last year)
Net profit: 0.7 billion dollars (up 42% from the same period last year)
Adjusted EPS: $0.56 (up 38% year over year)

Future outlook
・Sales and profitability are expected to increase as the data streaming market grows
・Expanding investment in cloud products
・Acquiring new customers and strengthening relationships with existing customers

Real time data streaming platformThe data was generated moments It is a platform that can be processed and analyzed.
In conventional batch processing, data is processed collectively for a fixed period of time, so it takes time for analysis results to come out.
Meanwhile, on real-time data streaming platforms, data one at a time Since it is processed every time it is sent,
real time The analysis results can be obtained at
For this reason, the followingReal-time analysisIt will be possible.
・Stock price fluctuation monitoring
・Customer behavior analysis
・Network traffic monitoring
・Production line anomaly detection

Typical examples of real-time data streaming platforms include
Apache Kafka and Confluent Platform There are such things.

Kafka is open source software that can process large amounts of data in real time.
It is used in various industries such as IoT, finance, e-commerce, etc.

By making Kafka easier to use and optimized for enterprises, Confluent
It provides a foundation for realizing data-driven business.

Confluent In the real-time data streaming platform market,High uniqueness and superiority I have it.

Technical ability
Apache Kafka It is the developer and is leading the open source community
It offers the most advanced and innovative real-time data streaming technology in the industry
It has enterprise-grade scalability, security, and availability

functions
It offers comprehensive features such as real-time data streaming, streaming analysis, data integration, and event management
Compatible with a wide range of data formats and sources
Offers a variety of deployment options (on-premise, cloud, hybrid)

Experience and Achievements
It is used in a wide range of industries, such as financial institutions, retail, telecommunications, and manufacturing
Deployed by thousands of companies, including most of the Fortune 500
We have a wealth of use cases and know-how

Goldman Sachs

JPMorgan Chase

Citibank

Bancamelia

MUFG Bank

Mizuho Financial Group

Resona Bank

Walmart

Amazons

targets

Kroger

Seven & i Holdings

ions

Life Corporation

AT&T

Verizon

T mobile

NTT Docomo

KDDI

Softbank

General Electric

Boeing

Toyota Motor

Nissan Motor

Honda

Panasonic

Sony

Netflix

Spotify

Uber

Airbnb

The New York Times

Walt Disney

Meta (formerly Facebook)