Resources

Discover how to unlock the full potential of your SAP data with Confluent Cloud and real-time data streaming. Learn key use cases, industry examples, and more.

See BMW, Michelin, and Siemens use Apache Kafka for event-driven systems and how your manufacturing organization run event-driven microservices with data streaming.

Leia o Data Streaming Report 2024 e descubra como o streaming de dados está sendo usado por empresas de diversos setores para aumentar o ROI, impulsionar inovações revolucionárias em inteligência artificial e melhorar a experiência do cliente.

Learn how to take full advantage of Apache Kafka®, the distributed, publish-subscribe queue for handling real-time data feeds.

Jay Kreps, CEO of Confluent and original co-creator of Apache Kafka, shows how logs work in distributed systems, and provides practical applications of these concepts.

Shoe retailer NewLimits is struggling with decentralized data processing challenges and needs a manageable, cost-effective stream processing solution for an important upcoming launch. Join developer Ada and architect Jax as they learn why Apache Kafka and Apache Flink are better together.

Download this Forrester study to understand the economic benefits of Confluent Cloud.

In this white paper, we provide a holistic overview of an active-passive multi-region DR solution based on the capabilities of Confluent Cloud, the only fully managed, cloud-native service for Apache Kafka.

Learn how to successfully implement a data mesh and build data products using Confluent’s data streaming platform, leveraging connectors, stream processing, and Stream Governance.

Explore the 2024 Data Streaming Report to discover the trends and tactics IT leaders are leveraging to boost ROI, AI adoption, and innovation with data streaming.

Learn how Apache Kafka, Confluent, and event-driven microservices ensure real-time communication and event streaming for modernized deployment, testing, and continuous delivery.

A practical guide to configuring multiple Apache Kafka clusters so that if a disaster scenario strikes, you have a plan for failover, failback, and ultimately successful recovery.

Businesses are discovering that they can create new business opportunities as well as make their existing operations more efficient using real-time data at scale. Learn how real-time data streams is revolutionizing your business.

This whitepaper discusses how to optimize your Apache Kafka deployment for various services goals including throughput, latency, durability and availability. It is intended for Kafka administrators and developers planning to deploy Kafka in production.

This white paper provides a brief overview of how microservices can be built in the Apache Kafka ecosystem.

To succeed, insurance companies must unify data from all their channels that may be scattered across multiple legacy systems as well as new digital applications. Without the ability to access and combine all this data in real time, delivering a truly modern insurance experience while assessing fast-changing risks can be an uphill battle. Our eBook explains how event streaming, an emerging technology for analyzing event data in real time, can help insurers compete with their insuretech peers. You will learn how combining event streaming from Apache Kafka® and Confluent with Google Cloud can help you.

Every one of your customer touch points, from an actual purchase to a marketing engagement, creates data streams and opportunities to trigger automations in real time.

In this ebook, you’ll get a look at five of the common use cases when getting started with data streaming, with real-world customer examples and insights into how your organization can make the leap.

In this ebook, you’ll learn about the profound strategic potential in an event streaming platform for enterprise businesses of many kinds. The types of business challenges event streaming is capable of addressing include driving better customer experience, reducing costs, mitigating risk, and providing a single source of truth across the business. It can be a game changer.

This document provides an overview of Confluent and Snowflake’s integration, a detailed tutorial for getting started with the integration, and unique considerations to keep in mind when working with these two technologies.

Learn how CDC (Change Data Capture) captures database transactions for ingest into Confluent Platform to enable real-time data pipelines.

Dive into full Kafka examples, with connector configurations and Kafka Streams code, that demonstrate different data formats and SerDes combinations for building event streaming pipelines.

Learn about the components of Confluent Enterprise, key considerations for production deployments, and guidelines for selecting hardware or deployment with different cloud providers.

Learn why organizations are considering Apache Kafka to streamline cloud migrations.

In this book, O’Reilly author Martin Kleppmann shows you how stream processing can make your data processing systems more flexible and less complex.

The reference architecture provides a detailed architecture for deploying Confluent Platform on Kubernetes and uses the Helm Charts for Confluent Platform as a reference to illustrate configuration and deployment practices.

In this white paper, we offer recommendations and best practices for designing data architectures that will work well with Confluent Cloud.

Learn the challenges of traditional messaging middleware, hindering innovation, low fault tolerance at scale, ephemeral persistence limiting data usage for analytics, and soaring technical debt and operational costs.

Shoe retail titan NewLimits is drowning in stale, inconsistent data due to nightly batch jobs that keep failing. Read the comic to see how developer Ada and architect Jax navigate through Batchland with Iris, their guide, and enter Streamscape and the realm of event-driven architectures.

Shoe retail titan NewLimits is drowning in stale, inconsistent data due to nightly batch jobs that keep failing. Read the comic to see how developer Ada and architect Jax navigate through Batchland with Iris, their guide, and enter Streamscape and the realm of event-driven architectures.

This ebook will show you how to make your highly valuable data available at scale, everywhere it needs to be, while keeping it secure and compliant.

Complete guide to migrate from open-source (OSS) Apache Kafka to Confluent. This includes best practices & customer-success stories on personal migration journeys.

In this white paper, you will learn how you can monitor your Apache Kafka deployments like a pro, the 7 common questions you'll need to answer, what requirements to look for in a monitoring solution and key advantages of the Confluent Control Center.

Learn about 6 common Kafka challenges that cause enterprise projects to fail, and how to overcome the disadvantages of running, managing, securing, and scaling Kafka.

This whitepaper is an in-depth guide to building streaming pipelines to data warehouses. Covers source and sink connectors (with Change Data Capture capabilities), stream processing with Kafka Streams and ksqlDB, with use cases and operational considerations.

This whitepaper is an in-depth guide to building streaming pipelines between different databases (RDBMS). Covers source and sink connectors (with Change Data Capture capabilities), stream processing with Kafka Streams and ksqlDB, with use cases and operational considerations.

Processing large amounts of data is challenging due to cost, physical size, efficiency, and availability limitations most companies face. A scalable and highly-available back-end system such as Confluent can efficiently process your company’s ever-growing volume of data.

This white paper unpacks the true costs of open source Kafka and MSK and demonstrates the value you can realize using Confluent.

Forrester says Confluent is a “Streaming force to be reckoned with,” and has named Confluent a leader in The Forrester Wave™: Cloud Data Pipelines, Q4 2023. See why Confluent is a leader.

Forrester says Confluent is a “Streaming force to be reckoned with,” and has named Confluent a leader in The Forrester Wave™: Streaming Data Platforms, Q4 2023. See why Confluent is a leader.

Forrester says Confluent is a “Streaming force to be reckoned with,” and has named Confluent a leader in The Forrester Wave™: Streaming Data Platforms, Q4 2023. See why Confluent is a leader.

Learn how Confluent's fully managed, cloud-native Kafka powers enterprise-grade data streaming, integration, and governance for modern banking and financial services use cases.

We’ve put together a decision tree that will help you evaluate your current data streaming setup and trajectory to assess whether a fully managed data streaming platform is a good fit for you.

In this IDC Tech Brief, we share our research on streaming data platforms, and the advantages they’re bringing for innovation, improved operational efficiency, ROI, and more.

The modern world is defined by speed. Grocery delivery, rideshare apps, and payments for just about anything can happen instantly using a mobile device and its apps. Every action of every consumer creates data, and businesses must make sense of it quickly to take advantage in real time.

This Ventana Research Analyst Perspective explains why organizations have to manage and govern data streaming projects alongside data at rest.

Download the “Transform Your Data Pipelines, Transform Your Business: 3 Ways to Get Started” ebook to take a deep dive into the challenges associated with legacy data pipelines and how streaming pipelines can help you reinvent the way data flows through—and is accessed—in your organization.

Learn how event-driven architecture and stream processing tools such as Apache Kafka can help you build business-critical systems that open modern, innovative use cases.

Confluent named a Leader in the IDC MarketScape for Worldwide Analytic Stream Processing Software 2024. See why Confluent is a Leader.

Confluent named a Leader in the IDC MarketScape for Worldwide Event Brokering Software 2024. See why Confluent is a Leader.

Shoe retail titan NewLimits is drowning in stale, inconsistent data due to nightly batch jobs that keep failing. Read the comic to see how developer Ada and architect Jax navigate through Batchland with Iris, their guide, and enter Streamscape and the realm of event-driven architectures.

Differentiating cloud-native, cloud, and cloud services, and lessons learned building a fully managed, elastic, cloud-native Apache Kafka.

Discover the latest Apache Flink developments and major Confluent announcements from Kafka Summit 2023 in 451 Research’s Market Insight Report.

This whitepaper covers how to implement a real-time fraud detection solution, covering multi-channel detection and real-time data integration, real-time processing, machine learning and AI, and real-time monitoring, reporting, and analytics.

In our ebook “Putting Fraud In Context”, we explore the complexities of fraud detection, why current detection tools often fall short and how Confluent can help.

Learn how Confluent can simplify and accelerate your migration to Amazon Aurora

Top streaming data use cases powering leading financial services organizations, like Citigroup and 10x Banking, with real-time payments, fraud detection, and better customer experiences.

Recognizing the need for real-time data while understanding the burden of self-managing Kafka on their own led BigCommerce to choose Confluent—allowing them to tap into data streaming without having to manage and maintain the data infrastructure.

Our latest eBook explores legacy data pipelines challenges—and how streaming pipelines and existing tech partners can help you optimize how data flows through your company, and make it more accessible throughout your organization.

Mainframes play a fundamental role in many organizations, but can be expensive to operate. Discover how Confluent's data streaming technology can help reduce MIPS and lower costs, with real-world case studies and example architectures.

A data mesh is useful for military space operations for numerous reasons including improving data quality, enabling data access and sharing while maintaining security and access controls, and supporting better decision-making.

Confluent is uniquely positioned to help agencies reframe how they approach the responsibility for and the coordination of cyber defense and resilience.

With Confluent, USDA can deploy across on-prem and cloud environments so the different Mission Areas can continue to manage their data as they need. It creates a flexible and future-ready data infrastructure by decoupling producers and consumers, simplifying how data can be combined in new ways.

Confluent Platform completes the event streaming platform and adds the flexibility, durability, and security required for complex, large-scale mission operations.

A data mesh architecture helps address all eight guiding principles in the DoD Data Strategy from viewing data as a strategic asset to collective stewardship and enterprise access to being designed for compliance.

Data Centralization enables algorithms to work more effectively, with access to more information and working at the speed of machines to provide deeper insight in near real time.

With ABAC, authorization occurs at a granular level less than the topic in the stream. The requirement restricts access to fields within the event based on attribute types, combinations, and user roles.

Data streaming can be applied to nearly any citizen service (e.g., permit applications, financial aid, pensions, medical claims, immigration processing, tax filing), becoming increasingly powerful when government agencies use the same data sources across multiple applications.

Data mesh architectures help bridge the gap between the systems we have and the decisions we need to support.

How Confluent helps meet the Executive Order requirement for event forwarding and event log management in collecting, aggregating, routing, and sharing data.

Insights on streaming data from the General Services Administration (GSA), NASA, Air Force, and the Federal Energy Regulatory Commission.

The solution is better data-in-motion architectures that focus on harnessing the flow of data across applications, databases, Software as a Service (SaaS), layers and cloud systems.

Confluent enables government organizations to easily inject legacy data sources into new, modern applications and adapt to changing real-world circumstances faster than ever.

As the DoD continues to invest in DevSecOps as a culture and approach to rapidly meeting the warfighter’s needs, it needs secure yet widely available access to cloud-native infrastructure.

Event streaming puts data in motion and creates a central nervous system for your entire organization, creating a new paradigm that supports collecting a continuous flow of data throughout an organization and processing it in real time.

Data streaming enables organizations to put data sharing in motion. The sharing organization publishes a stream of events (including changes and deltas) as they occur and data sharing consumers can subscribe to efficiently receive them as they happen.

Confluent aligns closely with the goals of the Data Strategy’s principle of Conscious Design, harnessing existing data and protecting its quality and relevance, allowing agencies to be more responsive to constituent needs with modern services.

Confluent's data streaming platform enables government entities to transform the way they work with data to protect the public, improve infrastructure, manage transportation, and more.

Kafka management becomes risky and costly as it scales. Learn why Confluent reinvented Kafka as a cloud service for over 10X more elasticity, storage, and resiliency.

Download the “Kafka In the Cloud: Why It’s 10x Better With Confluent” ebook to take a deep dive into how Confluent harnessed the power of the cloud to build a data streaming platform that’s 10x better than Apache Kafka, so you can leave your Kafka management woes behind.

Confluent enables government agencies to utilize data as a continually updating stream of events, rather than discrete snapshots. Run your agency by building real-time applications with historical context - all based on a universal event pipeline.

In this report, you’ll learn how to use event streaming to process, store, analyze and act on both historical and real-time data in one place. You'll also explore: Data access and management challenges agencies are facing and how to address them.

The Confluent event-streaming platform enables government organizations to unlock and repurpose their existing data for countless modern applications and use cases.

This whitepaper describes some of the financial businesses that rely on Confluent and the game-changing business outcomes that can be realized by using data streaming technology

As the DoD presses forward with Joint All-Domain Command and Control (JADC2) programs and architectures the Air Force is working to stand up technology centers that will not only allow for the sharing of data but for the sharing of data in motion.

Data streaming provides an accurate, real-time view of your business. Learn about the data streaming ecosystem, its benefits, and how to accelerate real-time insights and analytics in this guide.

Building a cloud-native data streaming platform isn’t just hosting Kafka on the cloud. We documented our design of Kora, the Apache Kafka engine built for the cloud, and were awarded “Best Industry Paper” at Very Large Data Bases (VLDB), one of the most prestigious tech conferences.

Why an event-driven data mesh built on Apache Kafka provides the best way to access important business data and unify the operational and analytical planes.

This whitepaper outlines the most common patterns and considerations for Mainframe Integration projects.

Many businesses are using streaming data in some form—but not necessarily effectively. As the volume and variety of data streams increases, data and analytics leaders should evaluate the design patterns, architectures, and vendors involved in data streaming technology to find relevant opportunities.

Taking Kafka to the cloud? Learn 3 best practices for building a cloud-native system that makes data streaming scalable, reliable, and cost-effective.

Learn about 5 challenges of legacy systems and why your organization should move its data infrastructure and Apache Kafka use cases to the cloud.

Modern customers crave personalization. How do banks deliver on it? By leveraging real-time data—enabled by data streaming platforms—to unlock powerful customer experiences.

Should you spend time self-managing open source technologies such as Apache Kafka® (build), or invest in a managed service (buy)? Let’s evaluate!

Modern fraud technology calls for a modern fraud detection approach, and that requires real-time data. Industry leaders from Capital One, RBC, and more are detecting fraud using data streaming to protect customers in real time.

To succeed, retailers must unify data scattered across point-of-sale, e-commerce, ERP, and other systems. Without integrating all of this data in motion—and making it available to applications in real time—it’s almost impossible to deliver a fully connected omnichannel customer experience.

Confluent can help you build data streaming pipelines that allow you to connect, process, and govern any data stream for any data warehouse.

Ventana Research finds that more than nine in ten organizations place a high priority on speeding the flow of data across their business and improving the responsiveness of their organizations. This is where Confluent comes in.

Read GigaOm’s ease-of-use study on self-managed Apache Kafka® and fully managed Confluent Cloud. See how Confluent accelerates and streamlines development.

Confluent is 10X better than Apache Kafka so you can cost-effectively build real-time applications on Google Cloud

Confluent is 10X better than Apache Kafka so you can cost-effectively build real-time applications on Microsoft Azure.

Explore new ways that your organization can thrive with a data-in-motion approach by downloading the new e-book, Harness Data in Motion Within a Hybrid and Multicloud Architecture.

An overview of Confluent’s Core Product Pillars.

How Sainsbury’s is revolutionizing its supply chain with real time data streaming from Confluent.

Optimize your SIEM to Build Tomorrow’s Cyber Defense with Confluent

To learn more about the E2E Encryption Accelerator and how it may be used to address your data protection requirements, download the Confluent E2E Encryption Accelerator white paper.

In 2022, if you want to deliver high-value projects that drive competitive advantage or business differentiation quickly, your best people can’t be stuck in the day-to-day management of Kafka, and your budget is better spent on your core business. By now you know, the answer is cloud.

Introduction to serverless, how it works, and the benefits stateful serverless architectures provide when paired with data streaming technologies.

To learn more about how you can implement a real-time data platform that connects all parts of your global business, download this free Confluent hybrid and multicloud reference architecture.

Check out IDC’s findings on why & how building resiliency matters in the face of near-constant disruption. To build resiliency, businesses should focus on one key area: their data.

Find out more in IDC’s From Data at Rest to Data in Motion: A Shift to Continuous Delivery of Value.

This eBook will explain how you can modernize your data architecture with a real-time, global data plane that eliminates the need for point-to-point connections and makes your data architecture simpler, faster, more resilient, and more cost effective.

This IDC Market Note discusses the main takeaways from the 2022 Kafka Summit in London, hosted by Confluent.

The secret to modernizing monoliths and scaling microservices across your organization? An event-driven architecture.

The companies most successful in meeting the demanding expectations of today’s customers are running on top of a constant supply of real-time event streams and continuous real-time processing. If you aspire to join the ranks of those capitalizing on data in motion, this is the place to start.

Download this white paper to read how Confluent can power the infrastructure necessary to run Autonomous Networks.

The companies most successful in meeting the demanding expectations of today’s customers are running on top of a constant supply of real-time event streams and continuous real-time processing. If you aspire to join the ranks of those capitalizing on data in motion, this is the place to start.

In this paper, we explore some of the fundamental concepts of Apache Kafka, the foundation of Confluent Platform, and compare it to traditional message-oriented middleware.

This ENTERPRISE MANAGEMENT ASSOCIATES® (EMA™) eBook will show how, with fully managed cloud-based event streaming, executives, managers, and individual contributors gain access to real-time intelligence and the enterprise will achieve unprecedented momentum and material gain.

In this eBook from Confluent and AWS, discover when and how to deploy Apache Kafka on your enterprise to harness your data, respond in real-time, and make faster, more informed decisions.

From data collection at scale to data processing in the Cloud or at the Edge—IoT architectures and data can provide enormous advantages through useful business and operational insights.

Confluent is pioneering a new category of data infrastructure focused on data in motion, designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly and securely stream across any organization.

Confluent’s platform for data in motion unifies silos and sets data in motion across an organization. Learn how this empowers developers to build the kinds of real-time applications that make their organizations more competitive and more efficient.

Discover how to fuel Kafka-enabled analytics use cases—including real-time customer predictions, supply chain optimization, and operational reporting—with a real-time flow of data.

Confluent Platform completes Kafka with a set of enterprise-grade features and services. Confluent Platform can reduce your Kafka TCO by up to 40% and accelerate your time to value for new data in motion use cases by 6+ months. Learn how Confluent Platform drives these outcomes for our customers.

For financial services companies, digital technologies can solve business problems, drastically improve traditional processes, modernize middleware and front-end infrastructure, improve operational efficiency, and most importantly, better serve customers.