Kafka in the Cloud: Why it’s 10x better with Confluent | Find out more
To win in today’s digital-first world, businesses must deliver exceptional customer experiences and data-driven, backend operations. This requires the ability to react, respond, and adapt to a continuous, ever-changing flow of data from across an organization in real time. However, for many companies, much of that data still sits at rest in silos across their organizations.
Many organizations have on-premises data that need to be set in motion or monolithic application architectures that need to be transformed to a real-time paradigm. Those in financial services, insurance, healthcare, and the public sector also have regulatory requirements that mandate controls for certain data, systems, and applications to stay within their own isolated environments. Confluent’s vast connectors portfolio plays a critical role, liberating siloed data from on-premises legacy technologies to build modern, cloud-based applications. Ultimately, this helps companies accelerate their efforts to modernize their data infrastructure and seamlessly harness the flow of data across all key pieces of their organization: between applications, databases, SaaS layers, and cloud ecosystems.
Confluent’s portfolio of 120+ pre-built, expert-certified connectors enables customers to easily transition to new cloud-native ecosystems and applications like AWS, Azure, Google Cloud, Snowflake, Elastic, and MongoDB, while unlocking data and divesting from both legacy systems (e.g., MQs, ESBs, ETL, and mainframes) and expensive on-premises vendors (e.g., Oracle, SAP, IBM, Teradata, and Splunk). These cloud-based capabilities are key to running modern data platforms, and Confluent can help serve as the central nervous system to bridge wherever an organization’s data and applications reside.
With this in mind, many customers choose Confluent to connect their data systems and applications across any environment—in their cloud of choice, across multiple cloud providers, on-premises, or hybrid environments. Confluent is tapped to meet them where they are across past, present, and future technologies to help them bridge this old world of legacy systems to the new world of cloud-native technology stacks.
One of our main goals at Confluent is to boost the productivity of and make life easier for Apache Kafka® developers. This means delivering capabilities that help developers spend more time building real-time applications that drive the business forward and less time developing and maintaining foundational data infrastructure tools, like connectors and other integrations.
If you are a developer or architect working with Apache Kafka, you have three main options for connecting valuable data sources and sinks:
For companies looking to modernize their data infrastructure cost effectively, while de-risking their business and freeing their developers to work on higher-value activities that drive the business forward, many of them choose option 3. That’s why Confluent has embarked on this journey to build a robust portfolio of connectors across both legacy and cloud-based applications and ecosystems. And we continue to gather extensive customer feedback to prioritize building the connectors that you need, including Elasticsearch, MongoDB, Snowflake, Microsoft SQL Server, Salesforce, Oracle CDC, cloud provider object stores (Amazon S3, Azure Blob Storage, Google Cloud Storage), and many more.
For context, in early 2019, we started with fewer than 10 connectors. Now, we have over 120 expert-built and tested connectors to help customers rapidly, reliably, and securely connect to sources and sinks across their organization. This also includes 30 connectors (and counting) available as fully managed connectors in Confluent Cloud to eliminate and free you from the operational burdens and risks of running your own connectors.
In summary, our expert-built and tested connectors enable you to:
We encourage you to explore our connectors portfolio, which features a full list of 120+ connectors, where you can find the right Kafka connectors for your use cases to modernize your data infrastructure and set your data in motion.
If you’re a Confluent Cloud customer, you can get started in three easy steps:
In addition, here’s a tutorial to help guide you through how to set up a connector in Confluent Cloud, along with our Cloud connectors documentation with quick start guides for each connector.
For those who have not yet started with Confluent, you can sign up for Confluent Cloud and receive $400 to spend within Confluent Cloud during your first 60 days. You can also use the promo code CL60BLOG for an extra $60 of free Confluent Cloud usage.*
If you’re a Confluent Platform customer, please visit Confluent Hub to download your connectors and get started today.**
**Subject to Confluent Platform licensing requirements for certain Commercial/Premium connectors
This blog explores how cloud service providers (CSPs) and managed service providers (MSPs) increasingly recognize the advantages of leveraging Confluent to deliver fully managed Kafka services to their clients. Confluent enables these service providers to deliver higher value offerings to wider...
With Confluent sitting at the core of their data infrastructure, Atomic Tessellator provides a powerful platform for molecular research backed by computational methods, focusing on catalyst discovery. Read on to learn how data streaming plays a central role in their technology.