Confluent Supercharges Apache Flink® Offering with New Developer Tools and Enterprise-Ready Security
Confluent (NASDAQ:CFLT) has introduced new capabilities to its Confluent Cloud to enhance stream processing and data streaming accessibility and security. Key updates include:
1. Table API support for Apache Flink®, enabling Java and Python developers to build streaming applications.
2. Private networking for Flink, providing enterprise-level protection for sensitive data use cases.
3. Confluent Extension for Visual Studio Code to accelerate real-time use case development.
4. Client-Side Field Level Encryption for stronger data security and privacy.
These enhancements aim to make Apache Flink more accessible, secure, and easier to integrate into existing workflows, addressing challenges such as operational complexity and infrastructure costs.
Confluent (NASDAQ:CFLT) ha introdotto nuove funzionalità nella sua Confluent Cloud per migliorare l'elaborazione dei flussi e l'accessibilità e la sicurezza dello streaming dei dati. Le principali novità includono:
1. Supporto per le Table API per Apache Flink®, consentendo agli sviluppatori Java e Python di costruire applicazioni di streaming.
2. Rete privata per Flink, che fornisce protezione a livello aziendale per casi d'uso di dati sensibili.
3. Estensione Confluent per Visual Studio Code per accelerare lo sviluppo di casi d'uso in tempo reale.
4. Crittografia a livello di campo lato client per una maggiore sicurezza e privacy dei dati.
Questi miglioramenti mirano a rendere Apache Flink più accessibile, sicuro e facile da integrare nei flussi di lavoro esistenti, affrontando sfide come la complessità operativa e i costi infrastrutturali.
Confluent (NASDAQ:CFLT) ha presentado nuevas capacidades en su Confluent Cloud para mejorar el procesamiento de flujos y la accesibilidad y seguridad del streaming de datos. Las actualizaciones clave incluyen:
1. Soporte para Table API en Apache Flink®, permitiendo que los desarrolladores de Java y Python construyan aplicaciones de streaming.
2. Red privada para Flink, proporcionando protección a nivel empresarial para casos de uso de datos sensibles.
3. Extensión Confluent para Visual Studio Code para acelerar el desarrollo de casos de uso en tiempo real.
4. Cifrado a nivel de campo del lado del cliente para una mayor seguridad y privacidad de los datos.
Estas mejoras tienen como objetivo hacer que Apache Flink sea más accesible, seguro y fácil de integrar en los flujos de trabajo existentes, abordando desafíos como la complejidad operativa y los costos de infraestructura.
Confluent (NASDAQ:CFLT)은 데이터 스트리밍 접근성과 보안을 향상시키기 위해 Confluent Cloud에 새로운 기능을 도입했습니다. 주요 업데이트는 다음과 같습니다:
1. Table API 지원을 통해 Apache Flink®에서 Java 및 Python 개발자가 스트리밍 애플리케이션을 구축할 수 있습니다.
2. 프라이빗 네트워킹이 Flink에 제공되어 민감한 데이터 사용 사례에 대한 기업 수준의 보호를 제공합니다.
3. Visual Studio Code용 Confluent 확장으로 실시간 사용 사례 개발을 가속화합니다.
4. 클라이언트 측 필드 레벨 암호화로 데이터 보안 및 개인 정보를 강화합니다.
이러한 개선 사항은 Apache Flink를 더 접근하기 쉽고, 안전하며, 기존 워크플로에 통합하기 쉽게 만드는 것을 목표로 하며, 운영 복잡성과 인프라 비용과 같은 문제를 해결합니다.
Confluent (NASDAQ:CFLT) a introduit de nouvelles fonctionnalités dans sa Confluent Cloud pour améliorer le traitement des flux ainsi que l'accessibilité et la sécurité du streaming de données. Les principales mises à jour incluent :
1. Support de l'API Table pour Apache Flink®, permettant aux développeurs Java et Python de créer des applications de streaming.
2. Réseautage privé pour Flink, offrant une protection de niveau entreprise pour des cas d'utilisation de données sensibles.
3. Extension Confluent pour Visual Studio Code pour accélérer le développement de cas d'utilisation en temps réel.
4. Chiffrement au niveau des champs côté client pour une sécurité et une confidentialité des données renforcées.
Ces améliorations visent à rendre Apache Flink plus accessible, sécurisé et facile à intégrer dans les flux de travail existants, en répondant à des défis tels que la complexité opérationnelle et les coûts d'infrastructure.
Confluent (NASDAQ:CFLT) hat neue Funktionen in seiner Confluent Cloud eingeführt, um die Stream-Verarbeitung sowie die Zugänglichkeit und Sicherheit des Datenstreamings zu verbessern. Zu den wichtigsten Aktualisierungen gehören:
1. Table API-Unterstützung für Apache Flink®, die es Java- und Python-Entwicklern ermöglicht, Streaming-Anwendungen zu erstellen.
2. Private Netzwerkoptionen für Flink, die einen unternehmensweiten Schutz für sensible Datenanwendungen bieten.
3. Confluent-Erweiterung für Visual Studio Code, um die Entwicklung von Echtzeitanwendungen zu beschleunigen.
4. Client-seitige Feldverschlüsselung für stärkeren Datenschutz und Datensicherheit.
Diese Verbesserungen zielen darauf ab, Apache Flink zugänglicher, sicherer und einfacher in bestehende Arbeitsabläufe zu integrieren, um Herausforderungen wie operative Komplexität und Infrastrukturkosten anzugehen.
- Introduction of Table API support for Apache Flink®, expanding accessibility to Java and Python developers
- Launch of private networking for Flink, enhancing security for sensitive data use cases
- Release of Confluent Extension for Visual Studio Code, streamlining development processes
- Implementation of Client-Side Field Level Encryption, improving data security and compliance
- None.
Confluent's new features for Apache Flink® represent a significant advancement in stream processing technology. The addition of Table API support broadens Flink's accessibility to Java and Python developers, potentially accelerating adoption and innovation in real-time data processing. This could lead to more sophisticated applications in areas like machine learning, predictive maintenance and fraud detection.
The introduction of private networking for Flink addresses critical security concerns, particularly for enterprises in regulated industries. This feature could be a game-changer for companies hesitant to adopt cloud-based stream processing due to data security worries.
The Confluent Extension for Visual Studio Code streamlines the development process, potentially reducing time-to-market for stream processing applications. This integration with a popular IDE could significantly boost developer productivity and code quality.
Overall, these enhancements position Confluent as a strong player in the evolving stream processing market, potentially driving increased adoption of their platform and boosting their competitive edge.
Confluent's (NASDAQ:CFLT) latest product enhancements could positively impact its financial performance. By expanding Flink's accessibility and improving security features, Confluent is positioning itself to capture a larger share of the growing stream processing market.
The company's focus on developer-friendly tools and enterprise-grade security could lead to increased adoption among both startups and large enterprises. This strategy may result in higher customer acquisition rates and improved customer retention, potentially driving revenue growth.
Moreover, by addressing the operational complexities and security concerns associated with Apache Flink, Confluent may be able to command premium pricing for its managed services. This could lead to improved profit margins over time.
However, investors should monitor the company's ability to convert these product enhancements into tangible financial results. Key metrics to watch include customer growth, revenue per customer and overall revenue growth rates in upcoming quarterly reports.
Confluent's latest innovations align well with current market trends in data streaming and processing. The global stream processing market is experiencing rapid growth, driven by increasing demand for real-time analytics and decision-making capabilities across industries.
By making Apache Flink more accessible and secure, Confluent is addressing key barriers to adoption. This could potentially expand their total addressable market, particularly among enterprises that have been hesitant to adopt stream processing due to complexity or security concerns.
The integration with Visual Studio Code is particularly noteworthy, as it taps into the large community of developers already using this popular IDE. This move could help Confluent build a stronger developer ecosystem around their platform, which is important for long-term success in the data infrastructure market.
However, competition in this space is intense, with major cloud providers and other specialized vendors offering similar solutions. Confluent will need to continue innovating and differentiating its offerings to maintain its market position and drive growth.
Confluent adds Table API support for Apache Flink® making it even easier for developers to use Java or Python to build streaming applications
New private networking and encryption features safeguard data streams for enterprises in highly regulated industries
“The true strength of using Apache Flink for stream processing empowers developers to create applications that instantly analyze and respond to real-time data, significantly enhancing responsiveness and user experience,” said Stewart Bond, Research Vice President at IDC. “Managed Apache Flink solutions can eliminate the complexities of infrastructure management while saving time and resources. Businesses must look for a Flink solution that seamlessly integrates with the tools, programming languages, and data formats they’re already using for easy implementation into business workflows.”
More businesses are relying on stream processing to build real-time applications and pipelines for various use cases spanning machine learning, predictive maintenance, personalized recommendations and fraud detection. Stream processing lets organizations blend and enrich their data with information across their business. Apache Flink is the de facto standard for stream processing. However, many teams hit roadblocks with Flink because it’s operationally complex, difficult to secure, and has expensive infrastructure and management costs.
“Thousands of teams worldwide use Apache Flink as their trusted stream processing solution to deliver exceptional customer experiences and streamline operations by shifting processing closer to the source, where data is fresh and clean,” said Shaun Clowes, Chief Product Officer at Confluent. “Our latest innovations push the boundaries further, making it easier for developers of all skill levels to harness this powerful technology for even more mission-critical and complex use cases.”
Confluent’s support for Table API extends Flink to teams with Java or Python experience
Confluent Cloud for Apache Flink offers the SQL API, a powerful and user-friendly tool for processing data streams. While Flink SQL is effective for quickly writing and executing queries, some teams favor programming languages like Java or Python which allow for more control of their applications and data. This can be especially important when developing complex business logic or custom processing tasks.
Adding support for the Table API to Confluent Cloud for Apache Flink enables Java or Python developers to easily create streaming applications using familiar tools. By supporting both Flink SQL and the Table API, Confluent Cloud for Apache Flink lets developers choose the best language for their use cases.
Support for Table API enables companies to:
- Enhance language flexibility by enabling developers to use their preferred programming languages, taking advantage of language-specific features and custom operations.
- Streamline the coding process by leveraging customers’ integrated development environment (IDE) of choice featuring auto-completion, refactoring tools, and compile-time checks to ensure higher code quality and minimize runtime issues.
- Make debugging easier with an iterative approach to data processing and streamlined CI/CD integration.
“We’re reimagining financial services and it’s imperative that we adopt new technologies that not only protect our customers but are also easily used by our teams,” said Shujahat Bashir, Director of Software Engineering at Thrivent. “Data streaming and stream processing can help power real-time fraud detection, and payments processing for an exceptional customer experience. We are looking forward to using Confluent’s new Apache Flink features including Private Networking, Flexible Schema Management, and Table APIs to extend the power of Flink to the languages and development styles we already use today.”
Support for Table API is available in open preview and is available for testing and experimentation purposes. General availability is coming soon.
Enabling private networking for Flink provides a secure environment for data streaming workloads
With more data than ever before and more teams using cloud and hybrid solutions, private networking is essential for protecting against unauthorized access and cyber threats. Confluent Cloud now offers private networking support for Flink, providing a critical layer of security for businesses that need to process data within strict regulatory environments.
By enabling private networking for Flink, Confluent users can:
- Boost data security and privacy between Flink and Kafka by safeguarding in-transit data and ensuring secure connections between clients and Flink within a private network.
- Simplify secure network configuration, making it easier to set up private connections without requiring extensive networking expertise.
- Facilitate flexible and secure stream processing by seamlessly joining and processing data across different Kafka clusters, ensuring data accessibility while adhering to strict security protocols.
Private networking support is generally available on AWS for Enterprise and Dedicated clusters. Additional cloud platforms are coming soon.
Confluent Extension for Visual Studio Code streamlines workloads and accelerates development cycles
Teams working with real-time data platforms like open source Apache Kafka often struggle with fragmented tools, clunky workflows, and constant switching between environments and other interfaces. This disjointed experience makes it tough to integrate real-time data into applications, slowing down productivity and innovation. Integrated development environments can make this process much easier and
Confluent Extension for Visual Studio Code enables teams to:
- Streamline topic management to easily create, edit, and browse Kafka topics with intuitive tools that simplify debugging and boost efficiency.
- Code and debug in one place by writing, executing, and debugging Kafka clients, Flink queries, and streaming applications directly in VS Code with enhanced productivity features like code completion.
- Seamlessly manage cloud resources to provision and control Confluent Cloud clusters within VS Code, reducing complexity and streamlining cloud operations.
Confluent Extension for Visual Studio Code supports Kafka clients and is available in early access. New Flink capabilities and general availability will be available later in 2024.
Client-Side Field Level Encryption safeguards teams’ most sensitive data while meeting regulatory requirements
Data security and privacy are top priorities for organizations in regulated industries, including financial services, healthcare, and the public sector. These organizations are subject to compliance rules about how sensitive data, like personally identifiable information (PII), can be accessed, moved, and stored.
Client-Side Field Level Encryption helps teams protect their most sensitive data by enabling them to encrypt individual fields within their data streams for enhanced security and compliance. Complementing existing Confluent security features, Client-Side Field Level Encryption further reduces the risk of unwanted access by encrypting data on the client side so that even system admins and users with highly privileged access cannot view messages in plaintext.
With Client-Side Field Level Encryption teams can:
- Improve security of sensitive data and adhere to strict compliance requirements.
- Maintain flexible and granular access control of which specific fields to encrypt.
- Lower total cost of ownership and operational complexity by reducing the need for topic duplication.
Client-Side Field Level Encryption is currently in limited availability and is expected to become generally available soon for all Confluent Cloud users through the company’s Stream Governance suite.
Additional resources
- Check out the new Confluent Cloud features.
- Learn about the addition of WarpStream BYOC to Confluent’s product portfolio.
- Start your free trial of Confluent Cloud — No credit card required.
As our roadmap may change in the future, the features referred to herein may change, may not be delivered on time, or may not be delivered at all. This information is not a commitment to deliver any functionality and customers should make their purchasing decisions based upon features that are currently available.
About Confluent
Confluent is the data streaming platform that is pioneering a fundamentally new category of data infrastructure that sets data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion—designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven back-end operations. To learn more, please visit www.confluent.io.
Confluent® and associated marks are trademarks or registered trademarks of Confluent, Inc.
Apache® and Apache Kafka® are either registered trademarks or trademarks of the Apache Software Foundation in
View source version on businesswire.com: https://www.businesswire.com/news/home/20240917633245/en/
Media Contact:
Natalie Mangan
pr@confluent.io
Source: Confluent, Inc.
FAQ
What new features has Confluent (CFLT) added to its Apache Flink® offering?
How does Confluent's Table API support benefit developers using Apache Flink®?
What security enhancement does Confluent's private networking for Flink provide?
When will Confluent's (CFLT) new Apache Flink® features be generally available?
