If you are considering Confluent, you may also want to investigate similar alternatives or competitors to find the best solution. Event Stream Processing Software is a widely used technology, and many people are seeking secure, top rated software solutions with cloud processing, spark integration, and data lake. Other important factors to consider when researching alternatives to Confluent include features. The best overall Confluent alternative is Lenses. Other similar apps like Confluent are Apache Kafka, Amazon Kinesis Data Streams, Cloudera, and Amazon Managed Streaming for Apache Kafka (Amazon MSK). Confluent alternatives can be found in Event Stream Processing Software but may also be in Stream Analytics Software or Data Warehouse Solutions.
Lenses, a product to streamline your data pipelines over Kubernetes, connect Kafka with external systems and easily manage your cluster. The data streaming platform that simplifies your streams with Kafka and Kubernetes; any flow, any data, one Lens.
Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java.
Amazon Kinesis Data Streams is a serverless streaming data service that makes it easy to capture, process, and store data streams at any scale.
Amazon Managed Streaming for Kafka (Amazon MSK) is a fully managed service that makes it easy for you to build and run applications that use Apache Kafka to process streaming data. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications.
Aiven for Apache Kafka is a fully managed streaming platform, deployable in the cloud of your choice. Snap it into your existing workflows with the click of a button, automate away the mundane tasks, and focus on building your core apps.
Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience.
Making big data simple
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.
The Teradata Database easily and efficiently handles complex data requirements and simplifies management of the data warehouse environment.