Top 10 Confluent Alternatives & Competitors

Top 10 Alternatives to Confluent Recently Reviewed By G2 Community

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Lenses
By Lenses.io Ltd
4.2/5
(17)
Product Description
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.
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Reviewers say compared to Confluent, Lenses is:
More usable
Easier to admin
Easier to do business with
Categories in common with Confluent:
Event Stream Processing
Stream Analytics
Big Data Processing and Distribution

Apache Kafka
By The Apache Software Foundation
4.5/5
(126)
Product Description
Apache Kafka is an open-source distributed event streaming platform developed by the Apache Software Foundation. It is designed to handle real-time data feeds with high throughput and low latency, making it ideal for building data pipelines, streaming analytics, and integrating data across various systems. Kafka enables organizations to publish, store, and process streams of records in a fault-tolerant and scalable manner, supporting mission-critical applications across diverse industries. Key Features and Functionality: - High Throughput and Low Latency: Kafka delivers messages at network-limited throughput with latencies as low as 2 milliseconds, ensuring efficient data processing. - Scalability: It can scale production clusters up to thousands of brokers, handling trillions of messages per day and petabytes of data, while elastically expanding and contracting storage and processing capabilities. - Durable Storage: Kafka stores streams of data safely in a distributed, durable, and fault-tolerant cluster, ensuring data integrity and availability. - High Availability: The platform supports efficient stretching of clusters over availability zones and connects separate clusters across geographic regions, enhancing resilience. - Stream Processing: Kafka provides built-in stream processing capabilities through the Kafka Streams API, allowing for operations like joins, aggregations, filters, and transformations with event-time processing and exactly-once semantics. - Connectivity: With Kafka Connect, it integrates seamlessly with hundreds of event sources and sinks, including databases, messaging systems, and cloud storage services. Primary Value and Solutions Provided: Apache Kafka addresses the challenges of managing real-time data streams by offering a unified platform that combines messaging, storage, and stream processing. It enables organizations to: - Build Real-Time Data Pipelines: Facilitate the continuous flow of data between systems, ensuring timely and reliable data delivery. - Implement Streaming Analytics: Analyze and process data streams in real-time, allowing for immediate insights and actions. - Ensure Data Integration: Seamlessly connect various data sources and sinks, promoting a cohesive data ecosystem. - Support Mission-Critical Applications: Provide a robust and fault-tolerant infrastructure capable of handling high-volume and high-velocity data, essential for critical business operations. By leveraging Kafka's capabilities, organizations can modernize their data architectures, enhance operational efficiency, and drive innovation through real-time data processing and analytics.
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Reviewers say compared to Confluent, Apache Kafka is:
More usable
Better at meeting requirements
Categories in common with Confluent:
Event Stream Processing
Stream Analytics

Amazon Kinesis Data Streams
By Amazon Web Services (AWS)
4.3/5
(90)
Product Description
Amazon Kinesis Data Streams is a serverless streaming data service that makes it easy to capture, process, and store data streams at any scale.
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Reviewers say compared to Confluent, Amazon Kinesis Data Streams is:
Better at support
Better at meeting requirements
Easier to admin
Categories in common with Confluent:
Event Stream Processing
Stream Analytics
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Amazon Managed Streaming for Apache Kafka (Amazon MSK)
By Amazon Web Services (AWS)
4/5
(22)
Product Description
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.
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Reviewers say compared to Confluent, Amazon Managed Streaming for Apache Kafka (Amazon MSK) is:
Better at support
Easier to admin
Easier to set up
Categories in common with Confluent:
Event Stream Processing
Stream Analytics

Aiven for Apache Kafka
By Aiven
4.3/5
(241)
Product Description
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.
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Reviewers say compared to Confluent, Aiven for Apache Kafka is:
Slower to reach roi
Easier to do business with
Easier to admin
Categories in common with Confluent:
Event Stream Processing

Snowflake
By Snowflake, Inc.
4.6/5
(678)
Product Description
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.
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Reviewers say compared to Confluent, Snowflake is:
Easier to set up
More usable
Easier to do business with
Categories in common with Confluent:
Big Data Processing and Distribution
Big Data Analytics

Databricks Data Intelligence Platform
By Databricks Inc.
4.6/5
(658)
Product Description
Making big data simple
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Reviewers say compared to Confluent, Databricks Data Intelligence Platform is:
Slower to reach roi
More usable
Easier to set up
Categories in common with Confluent:
Big Data Processing and Distribution
Big Data Analytics

Alteryx
By Alteryx
4.6/5
(671)
Product Description
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.
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Reviewers say compared to Confluent, Alteryx is:
Easier to do business with
More usable
Easier to set up
Categories in common with Confluent:
Big Data Analytics

Teradata Vantage
By Teradata
4.3/5
(360)
Product Description
The Teradata Database easily and efficiently handles complex data requirements and simplifies management of the data warehouse environment.
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Reviewers say compared to Confluent, Teradata Vantage is:
Slower to reach roi
More expensive
Better at support
Categories in common with Confluent:
Big Data Processing and Distribution
Big Data Analytics

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