Connect with Confluent: Celebrating One Year and 50+ Integrations

In just 12 short months, the Connect with Confluent (CwC) technology partner program has transformed from a new, ambitious initiative to expand the data streaming ecosystem into a thriving portfolio that’s rapidly increasing the breadth and value of real-time data. The program now provides a portfolio of 50+ integrations, each one amplifying the capabilities of Confluent's unified data streaming platform for Apache Kafka® and Apache Flink®. As we celebrate this first anniversary, we’re excited to introduce the newest partners joining us in Q3 2024 and reflect on the major milestones achieved through CwC integrations throughout the year.

Meet the Q3 2024 Connect with Confluent entrants

But first, this quarter, we are excited to welcome five new partners into the CwC program—each with direct, fully managed integrations to Confluent’s data streaming platform. These new members represent a diverse range of technologies and use cases, each bringing unique capabilities that further extend the power of both Confluent Cloud and Confluent Platform.

• Amazon OpenSearch: Enabling real-time search and analytics on streaming data, integrated seamlessly with Confluent Cloud – Learn more

• Cribl: Simplifying data routing and observability pipelines, enhancing flexibility and control over data in motion – Learn more

• MongoDB Relational Migrator: Enabling easy migration from relational databases to MongoDB using Confluent Cloud’s CDC capabilities – Learn more

• Qdrant: Facilitating vector similarity search, making it easier to build AI-driven applications on streaming data – Learn more

• Synthesis: Enabling FIX protocol-based data providers to publish data to Confluent – Learn more

Alongside these net-new integrations, CwC partners continue to invest in their Confluent integrations to ensure customers have the very best data streaming experience. The Pinecone connector has been updated with enhanced lineage and usage reporting for greater visibility which allows sales, marketing, and technical support to drive more successful use of RAG pipelines. Additionally, ClickHouse leveraged the custom connect framework to provide customers with optionality when integrating Confluent data streams with their real-time data warehouse.

The Connect with Confluent partner landscape expands

As we celebrate the first anniversary of the CwC program, we're excited to unveil the latest version of our partner landscape. This updated graphic highlights our ever-expanding ecosystem, now featuring over 50 integrations, including the newest partners who have joined us this quarter.

Vector databases power highly contextualized GenAI use cases

Integral to the GenAI stack and RAG pipeline development, vector databases can store, index, and augment large datasets in the formats that AI technologies like LLMs require. We’ve worked with CwC members Couchbase, Elastic, MongoDB, neo4j, Pinecone, Qdrant, SingleStore, Weaviate, and Zilliz to develop Confluent integrations that fuel their vector search capabilities with highly contextualized, AI-ready data streams sourced from anywhere throughout a customer’s business. By leveraging Kafka and Flink as a unified platform with Confluent, teams can clean and enrich data streams on the fly, and deliver them as instantly usable inputs in real time to vector databases. Our fully managed Flink service enables users to process data in flight and create high-quality data streams to power the most impactful GenAI applications. 

Through CwC integrations, teams can easily access governed, fully managed data streams directly within their vector database of choice, making it even easier to fuel highly sophisticated GenAI applications with trusted, real-time data.

Build real-time data products fueled by your highest value data sources

The Connect with Confluent program offers a strong portfolio of source connectors, allowing customers to build powerful, real-time data products by seamlessly integrating data from across their entire business. These connectors, easily configured directly within sourcing systems, enable organizations to tap into a wide range of data sources. With connectors available for IoT platforms like EMQX, HiveMQ, and Waterstream; data integration tools including SAP, Precisely, Advantco, Asapio, and Onibex; and FIX protocol-based publishing with Synthesis—businesses can effortlessly stream data from diverse environments, allowing them to unlock new insights, enhance decision-making, and drive innovation at scale.

These connectors supplement Confluent Cloud's portfolio of managed connectors, including Oracle CDC, Salesforce CDC, MySQL CDC (Debezium), and PostgreSQL CDC (Debezium), ensuring that no valuable information is unavailable to Confluent customers.

Customers innovate with data lakehouses and real-time analytics

Let’s take a look at some standout examples of customer success with CwC partners. With Confluent, customers are able to shift left—eliminating wasteful data proliferation, manual break-fix and high costs by processing and governing data at the source, within milliseconds of its creation—and prepare higher value data products for use within downstream applications. Whether landing within a data lakehouse, real-time analytics platform, or any other application, data streams can be built once and made ready for immediate, multipurpose use across the business.

Apna Unlocks AI-Driven Job Matching with Confluent and Onehouse

India’s leading job site, Apna, leverages Confluent’s data streaming platform alongside Onehouse’s universal data lakehouse to enhance job matching for its 50 million users. By transitioning from a monolithic architecture to a real-time data streaming infrastructure, Apna has significantly reduced costs, improved data freshness by 5-10x, and accelerated innovation. The combination of Confluent Cloud and Onehouse allows Apna to power AI-driven features, providing real-time job recommendations and enabling rapid scalability as the platform continues to grow.

Read the full Apna blog to learn more about why they chose to build with Confluent and Onehouse.

Dialpad Turns to Confluent and StarTree for Real-Time Customer Intelligence

AI-powered customer intelligence platform Dialpad uses Confluent’s data streaming platform together with StarTree’s real-time analytics platform to enhance customer engagements throughout their business. By modernizing their data stack with Confluent Cloud and StarTree, Dialpad is now able to proactively surface real-time insights for call center managers such as queue times, handle times, and hold times. This allows for down-to-the-minute decision-making and optimizations including how to reassign and repurpose call center agents. The new architecture has greatly improved data freshness—average end-to-end ingestion latencies have reduced from over one minute down to an average of 500 ms and as low as 10 ms.

Read the full Dialpad blog to learn more about why they chose to build with Confluent and StarTree.

Factorial Builds Real-Time Data Products with Confluent and Tinybird

Factorial’s goal is to bring modern HR solutions to more than 8,000 businesses worldwide—automating mundane HR tasks so that people leaders can focus on people, not paperwork. In order to build new real-time user-facing analytics features and scale their business to new markets and larger customers, Factorial turned to Confluent Cloud and Tinybird. This decision enabled them to accelerate their time to market and build great new customer experiences like job catalog, audit log, and attendance features without sacrificing reliability. With help from Confluent and Tinybird, Factorial has improved its data freshness and reduced query latency, leading to significantly faster user feature launches.

Read the full Factorial blog to learn more about the enhancements they’ve been able to build for customers together with Confluent and Tinybird.

Make “real-time everything and everywhere” a reality 

The Connect with Confluent program accelerates innovation by integrating real-time data streams across your most popular data systems, simplifying Kafka management, and enabling widespread adoption of Confluent Cloud’s powerful capabilities. The program provides:

Native Confluent integrations: CwC integrations streamline innovation by integrating Confluent data streams within the world’s most popular data systems, offering fully managed solutions that bypass the complexities of self-managing Apache Kafka. This allows businesses to deliver real-time, low-latency experiences cost-effectively and quickly with Confluent Cloud, recognized as a leader in The Forrester Wave™: Streaming Data Platforms, Q4 2023. Confluent Cloud, powered by the Kora Engine, provides elastic scaling, a 99.99% uptime SLA, 120+ connectors, Flink stream processing, stream governance, enterprise-grade security, and global availability—all reducing Kafka TCO by up to 60%.

New data streaming users: Through these integrations, businesses can easily expand data streaming beyond Kafka experts, fostering organic growth of real-time use cases. Native integrations make it simple for teams to access and utilize high-value data, eliminating the need for cross-functional efforts to manage Kafka or develop new integrations.

More real-time data: Each new CwC integration allows customers to instantly share data products across Confluent’s expansive data streaming network, enhancing the value of data within any system by making it accessible to all applications across the business.

Find and configure your next connector

Ready to get started? Check out the full library of Connect with Confluent partner integrations to easily integrate your application with fully managed data streams.

Not seeing what you need? Not to worry. Check out our repository of 120+ pre-built source and sink connectors including 80+ provided fully managed.

Are you building an application that needs real-time data? Interested in joining the CwC program? Become a Confluent partner and give your customers the absolute best experience for working with data streams—right within your application, supported by the Kafka experts.