# Top 10 Confluent Alternatives & Competitors
**Average Rating:** 4.4/5
**Total Number of Reviews:** 114
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 time saving, high quality 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 Cloudera. Other similar apps like Confluent are Lenses, Apache Kafka, Amazon Kinesis Data Streams, and Amazon Managed Streaming for Apache Kafka (Amazon MSK). Confluent alternatives can be found in [Event Stream Processing Software](https://www.g2.com/categories/event-stream-processing) but may also be in [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution) or [Stream Analytics Software](https://www.g2.com/categories/stream-analytics).


## Best Paid & Free Alternatives to Confluent
  - [Cloudera](https://www.g2.com/products/cloudera/reviews)
  - [Lenses](https://www.g2.com/products/lenses/reviews)
  - [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews)
  - [Amazon Kinesis Data Streams](https://www.g2.com/products/aws-amazon-kinesis-data-streams/reviews)
  - [Amazon Managed Streaming for Apache Kafka (Amazon MSK)](https://www.g2.com/products/amazon-managed-streaming-for-apache-kafka-amazon-msk/reviews)
  - [Aiven for Apache Kafka](https://www.g2.com/products/aiven-for-apache-kafka/reviews)
  - [Splunk Enterprise](https://www.g2.com/products/splunk-enterprise/reviews)
  - [Databricks](https://www.g2.com/products/databricks/reviews)
  - [Snowflake](https://www.g2.com/products/snowflake/reviews)
  - [Alteryx](https://www.g2.com/products/alteryx/reviews)

## Top 10 Alternatives to Confluent Recently Reviewed By G2 Community
Browse options below. Based on reviewer data, you can see how Confluent stacks up to the competition, check reviews from current & previous users in industries like Computer Software, Retail, and Hospital & Health Care, and find the best product for your business.


  ### 1. [Cloudera](https://www.g2.com/products/cloudera/reviews)
By Cloudera
**Average Rating:** 4.1/5
**Total Reviews:** 136
Cloudera Enterprise Core provides a single Hadoop storage and management platform that natively combines storage, processing and exploration for the enterprise.


Reviewers say compared to Confluent, Cloudera is:
- Slower to reach roi
Categories in common with Confluent: [Stream Analytics](https://www.g2.com/categories/stream-analytics), [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution), [Big Data Analytics](https://www.g2.com/categories/big-data-analytics)

**Compare:** [Confluent vs Cloudera](https://www.g2.com/compare/cloudera-vs-confluent)
**Compare Cloudera with other alternatives:**
- [Cloudera vs Lenses](https://www.g2.com/compare/cloudera-vs-lenses)
- [Cloudera vs Apache Kafka](https://www.g2.com/compare/apache-kafka-vs-cloudera)
- [Cloudera vs Amazon Kinesis Data Streams](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-cloudera)
- [Cloudera vs Amazon Managed Streaming for Apache Kafka (Amazon MSK)](https://www.g2.com/compare/amazon-managed-streaming-for-apache-kafka-amazon-msk-vs-cloudera)
- [Cloudera vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-cloudera)
- [Cloudera vs Splunk Enterprise](https://www.g2.com/compare/cloudera-vs-splunk-enterprise)
- [Cloudera vs Databricks](https://www.g2.com/compare/cloudera-vs-databricks)
- [Cloudera vs Snowflake](https://www.g2.com/compare/cloudera-vs-snowflake)
- [Cloudera vs Alteryx](https://www.g2.com/compare/alteryx-vs-cloudera)

  ### 2. [Lenses](https://www.g2.com/products/lenses/reviews)
By Lenses.io Ltd
**Average Rating:** 4.2/5
**Total Reviews:** 17
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.


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](https://www.g2.com/categories/event-stream-processing), [Stream Analytics](https://www.g2.com/categories/stream-analytics), [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution)

**Compare:** [Confluent vs Lenses](https://www.g2.com/compare/confluent-vs-lenses)
**Compare Lenses with other alternatives:**
- [Lenses vs Cloudera](https://www.g2.com/compare/cloudera-vs-lenses)
- [Lenses vs Apache Kafka](https://www.g2.com/compare/apache-kafka-vs-lenses)
- [Lenses vs Amazon Kinesis Data Streams](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-lenses)
- [Lenses vs Amazon Managed Streaming for Apache Kafka (Amazon MSK)](https://www.g2.com/compare/amazon-managed-streaming-for-apache-kafka-amazon-msk-vs-lenses)
- [Lenses vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-lenses)
- [Lenses vs Splunk Enterprise](https://www.g2.com/compare/lenses-vs-splunk-enterprise)
- [Lenses vs Databricks](https://www.g2.com/compare/databricks-vs-lenses)
- [Lenses vs Snowflake](https://www.g2.com/compare/lenses-vs-snowflake)
- [Lenses vs Alteryx](https://www.g2.com/compare/alteryx-vs-lenses)

  ### 3. [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews)
By The Apache Software Foundation
**Average Rating:** 4.5/5
**Total Reviews:** 132
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.


Reviewers say compared to Confluent, Apache Kafka is:
- More usable
- Better at meeting requirements
Categories in common with Confluent: [Event Stream Processing](https://www.g2.com/categories/event-stream-processing), [Stream Analytics](https://www.g2.com/categories/stream-analytics)

**Compare:** [Confluent vs Apache Kafka](https://www.g2.com/compare/apache-kafka-vs-confluent)
**Compare Apache Kafka with other alternatives:**
- [Apache Kafka vs Cloudera](https://www.g2.com/compare/apache-kafka-vs-cloudera)
- [Apache Kafka vs Lenses](https://www.g2.com/compare/apache-kafka-vs-lenses)
- [Apache Kafka vs Amazon Kinesis Data Streams](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-apache-kafka)
- [Apache Kafka vs Amazon Managed Streaming for Apache Kafka (Amazon MSK)](https://www.g2.com/compare/amazon-managed-streaming-for-apache-kafka-amazon-msk-vs-apache-kafka)
- [Apache Kafka vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-apache-kafka)
- [Apache Kafka vs Splunk Enterprise](https://www.g2.com/compare/apache-kafka-vs-splunk-enterprise)
- [Apache Kafka vs Databricks](https://www.g2.com/compare/apache-kafka-vs-databricks)
- [Apache Kafka vs Snowflake](https://www.g2.com/compare/apache-kafka-vs-snowflake)
- [Apache Kafka vs Alteryx](https://www.g2.com/compare/alteryx-vs-apache-kafka)

  ### 4. [Amazon Kinesis Data Streams](https://www.g2.com/products/aws-amazon-kinesis-data-streams/reviews)
By Amazon Web Services (AWS)
**Average Rating:** 4.3/5
**Total Reviews:** 90
Amazon Kinesis Data Streams is a serverless streaming data service that makes it easy to capture, process, and store data streams at any scale.


Reviewers say compared to Confluent, Amazon Kinesis Data Streams is:
- Better at support
- Better at meeting requirements
- Easier to set up
Categories in common with Confluent: [Event Stream Processing](https://www.g2.com/categories/event-stream-processing), [Stream Analytics](https://www.g2.com/categories/stream-analytics)

**Compare:** [Confluent vs Amazon Kinesis Data Streams](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-confluent)
**Compare Amazon Kinesis Data Streams with other alternatives:**
- [Amazon Kinesis Data Streams vs Cloudera](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-cloudera)
- [Amazon Kinesis Data Streams vs Lenses](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-lenses)
- [Amazon Kinesis Data Streams vs Apache Kafka](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-apache-kafka)
- [Amazon Kinesis Data Streams vs Amazon Managed Streaming for Apache Kafka (Amazon MSK)](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-amazon-managed-streaming-for-apache-kafka-amazon-msk)
- [Amazon Kinesis Data Streams vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-aws-amazon-kinesis-data-streams)
- [Amazon Kinesis Data Streams vs Splunk Enterprise](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-splunk-enterprise)
- [Amazon Kinesis Data Streams vs Databricks](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-databricks)
- [Amazon Kinesis Data Streams vs Snowflake](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-snowflake)
- [Amazon Kinesis Data Streams vs Alteryx](https://www.g2.com/compare/alteryx-vs-aws-amazon-kinesis-data-streams)

  ### 5. [Amazon Managed Streaming for Apache Kafka (Amazon MSK)](https://www.g2.com/products/amazon-managed-streaming-for-apache-kafka-amazon-msk/reviews)
By Amazon Web Services (AWS)
**Average Rating:** 4.0/5
**Total Reviews:** 24
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.


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](https://www.g2.com/categories/event-stream-processing), [Stream Analytics](https://www.g2.com/categories/stream-analytics)

**Compare:** [Confluent vs Amazon Managed Streaming for Apache Kafka (Amazon MSK)](https://www.g2.com/compare/amazon-managed-streaming-for-apache-kafka-amazon-msk-vs-confluent)
**Compare Amazon Managed Streaming for Apache Kafka (Amazon MSK) with other alternatives:**
- [Amazon Managed Streaming for Apache Kafka (Amazon MSK) vs Cloudera](https://www.g2.com/compare/amazon-managed-streaming-for-apache-kafka-amazon-msk-vs-cloudera)
- [Amazon Managed Streaming for Apache Kafka (Amazon MSK) vs Lenses](https://www.g2.com/compare/amazon-managed-streaming-for-apache-kafka-amazon-msk-vs-lenses)
- [Amazon Managed Streaming for Apache Kafka (Amazon MSK) vs Apache Kafka](https://www.g2.com/compare/amazon-managed-streaming-for-apache-kafka-amazon-msk-vs-apache-kafka)
- [Amazon Managed Streaming for Apache Kafka (Amazon MSK) vs Amazon Kinesis Data Streams](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-amazon-managed-streaming-for-apache-kafka-amazon-msk)
- [Amazon Managed Streaming for Apache Kafka (Amazon MSK) vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-amazon-managed-streaming-for-apache-kafka-amazon-msk)
- [Amazon Managed Streaming for Apache Kafka (Amazon MSK) vs Splunk Enterprise](https://www.g2.com/compare/amazon-managed-streaming-for-apache-kafka-amazon-msk-vs-splunk-enterprise)
- [Amazon Managed Streaming for Apache Kafka (Amazon MSK) vs Databricks](https://www.g2.com/compare/amazon-managed-streaming-for-apache-kafka-amazon-msk-vs-databricks)
- [Amazon Managed Streaming for Apache Kafka (Amazon MSK) vs Snowflake](https://www.g2.com/compare/amazon-managed-streaming-for-apache-kafka-amazon-msk-vs-snowflake)
- [Amazon Managed Streaming for Apache Kafka (Amazon MSK) vs Alteryx](https://www.g2.com/compare/alteryx-vs-amazon-managed-streaming-for-apache-kafka-amazon-msk)

  ### 6. [Aiven for Apache Kafka](https://www.g2.com/products/aiven-for-apache-kafka/reviews)
By Aiven
**Average Rating:** 4.3/5
**Total Reviews:** 248
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.


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](https://www.g2.com/categories/event-stream-processing)

**Compare:** [Confluent vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-confluent)
**Compare Aiven for Apache Kafka with other alternatives:**
- [Aiven for Apache Kafka vs Cloudera](https://www.g2.com/compare/aiven-for-apache-kafka-vs-cloudera)
- [Aiven for Apache Kafka vs Lenses](https://www.g2.com/compare/aiven-for-apache-kafka-vs-lenses)
- [Aiven for Apache Kafka vs Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-apache-kafka)
- [Aiven for Apache Kafka vs Amazon Kinesis Data Streams](https://www.g2.com/compare/aiven-for-apache-kafka-vs-aws-amazon-kinesis-data-streams)
- [Aiven for Apache Kafka vs Amazon Managed Streaming for Apache Kafka (Amazon MSK)](https://www.g2.com/compare/aiven-for-apache-kafka-vs-amazon-managed-streaming-for-apache-kafka-amazon-msk)
- [Aiven for Apache Kafka vs Splunk Enterprise](https://www.g2.com/compare/aiven-for-apache-kafka-vs-splunk-enterprise)
- [Aiven for Apache Kafka vs Databricks](https://www.g2.com/compare/aiven-for-apache-kafka-vs-databricks)
- [Aiven for Apache Kafka vs Snowflake](https://www.g2.com/compare/aiven-for-apache-kafka-vs-snowflake)
- [Aiven for Apache Kafka vs Alteryx](https://www.g2.com/compare/aiven-for-apache-kafka-vs-alteryx)

  ### 7. [Splunk Enterprise](https://www.g2.com/products/splunk-enterprise/reviews)
By Cisco
**Average Rating:** 4.3/5
**Total Reviews:** 434
Splunk is a software platform for machine data that enables customers to gain real-time Operational Intelligence.


Reviewers say compared to Confluent, Splunk Enterprise is:
- Slower to reach roi
- Easier to do business with
- Better at meeting requirements
Categories in common with Confluent: [Big Data Analytics](https://www.g2.com/categories/big-data-analytics)

**Compare:** [Confluent vs Splunk Enterprise](https://www.g2.com/compare/confluent-vs-splunk-enterprise)
**Compare Splunk Enterprise with other alternatives:**
- [Splunk Enterprise vs Cloudera](https://www.g2.com/compare/cloudera-vs-splunk-enterprise)
- [Splunk Enterprise vs Lenses](https://www.g2.com/compare/lenses-vs-splunk-enterprise)
- [Splunk Enterprise vs Apache Kafka](https://www.g2.com/compare/apache-kafka-vs-splunk-enterprise)
- [Splunk Enterprise vs Amazon Kinesis Data Streams](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-splunk-enterprise)
- [Splunk Enterprise vs Amazon Managed Streaming for Apache Kafka (Amazon MSK)](https://www.g2.com/compare/amazon-managed-streaming-for-apache-kafka-amazon-msk-vs-splunk-enterprise)
- [Splunk Enterprise vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-splunk-enterprise)
- [Splunk Enterprise vs Databricks](https://www.g2.com/compare/databricks-vs-splunk-enterprise)
- [Splunk Enterprise vs Snowflake](https://www.g2.com/compare/snowflake-vs-splunk-enterprise)
- [Splunk Enterprise vs Alteryx](https://www.g2.com/compare/alteryx-vs-splunk-enterprise)

  ### 8. [Databricks](https://www.g2.com/products/databricks/reviews)
By Databricks Inc.
**Average Rating:** 4.6/5
**Total Reviews:** 1,366
Making big data simple


Reviewers say compared to Confluent, Databricks is:
- Better at support
- Easier to do business with
- More usable
Categories in common with Confluent: [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution), [Big Data Analytics](https://www.g2.com/categories/big-data-analytics)

**Compare:** [Confluent vs Databricks](https://www.g2.com/compare/confluent-vs-databricks)
**Compare Databricks with other alternatives:**
- [Databricks vs Cloudera](https://www.g2.com/compare/cloudera-vs-databricks)
- [Databricks vs Lenses](https://www.g2.com/compare/databricks-vs-lenses)
- [Databricks vs Apache Kafka](https://www.g2.com/compare/apache-kafka-vs-databricks)
- [Databricks vs Amazon Kinesis Data Streams](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-databricks)
- [Databricks vs Amazon Managed Streaming for Apache Kafka (Amazon MSK)](https://www.g2.com/compare/amazon-managed-streaming-for-apache-kafka-amazon-msk-vs-databricks)
- [Databricks vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-databricks)
- [Databricks vs Splunk Enterprise](https://www.g2.com/compare/databricks-vs-splunk-enterprise)
- [Databricks vs Snowflake](https://www.g2.com/compare/databricks-vs-snowflake)
- [Databricks vs Alteryx](https://www.g2.com/compare/alteryx-vs-databricks)

  ### 9. [Snowflake](https://www.g2.com/products/snowflake/reviews)
By Snowflake, Inc.
**Average Rating:** 4.5/5
**Total Reviews:** 763
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.


Reviewers say compared to Confluent, Snowflake is:
- Easier to set up
- More usable
- Easier to admin
Categories in common with Confluent: [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution), [Big Data Analytics](https://www.g2.com/categories/big-data-analytics)

**Compare:** [Confluent vs Snowflake](https://www.g2.com/compare/confluent-vs-snowflake)
**Compare Snowflake with other alternatives:**
- [Snowflake vs Cloudera](https://www.g2.com/compare/cloudera-vs-snowflake)
- [Snowflake vs Lenses](https://www.g2.com/compare/lenses-vs-snowflake)
- [Snowflake vs Apache Kafka](https://www.g2.com/compare/apache-kafka-vs-snowflake)
- [Snowflake vs Amazon Kinesis Data Streams](https://www.g2.com/compare/aws-amazon-kinesis-data-streams-vs-snowflake)
- [Snowflake vs Amazon Managed Streaming for Apache Kafka (Amazon MSK)](https://www.g2.com/compare/amazon-managed-streaming-for-apache-kafka-amazon-msk-vs-snowflake)
- [Snowflake vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-snowflake)
- [Snowflake vs Splunk Enterprise](https://www.g2.com/compare/snowflake-vs-splunk-enterprise)
- [Snowflake vs Databricks](https://www.g2.com/compare/databricks-vs-snowflake)
- [Snowflake vs Alteryx](https://www.g2.com/compare/alteryx-vs-snowflake)

  ### 10. [Alteryx](https://www.g2.com/products/alteryx/reviews)
By Alteryx
**Average Rating:** 4.6/5
**Total Reviews:** 894
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.


Reviewers say compared to Confluent, Alteryx is:
- Easier to do business with
- More usable
- Better at support
Categories in common with Confluent: [Big Data Analytics](https://www.g2.com/categories/big-data-analytics)

**Compare:** [Confluent vs Alteryx](https://www.g2.com/compare/alteryx-vs-confluent)
**Compare Alteryx with other alternatives:**
- [Alteryx vs Cloudera](https://www.g2.com/compare/alteryx-vs-cloudera)
- [Alteryx vs Lenses](https://www.g2.com/compare/alteryx-vs-lenses)
- [Alteryx vs Apache Kafka](https://www.g2.com/compare/alteryx-vs-apache-kafka)
- [Alteryx vs Amazon Kinesis Data Streams](https://www.g2.com/compare/alteryx-vs-aws-amazon-kinesis-data-streams)
- [Alteryx vs Amazon Managed Streaming for Apache Kafka (Amazon MSK)](https://www.g2.com/compare/alteryx-vs-amazon-managed-streaming-for-apache-kafka-amazon-msk)
- [Alteryx vs Aiven for Apache Kafka](https://www.g2.com/compare/aiven-for-apache-kafka-vs-alteryx)
- [Alteryx vs Splunk Enterprise](https://www.g2.com/compare/alteryx-vs-splunk-enterprise)
- [Alteryx vs Databricks](https://www.g2.com/compare/alteryx-vs-databricks)
- [Alteryx vs Snowflake](https://www.g2.com/compare/alteryx-vs-snowflake)


---
## Confluent Alternatives FAQs

### How does Confluent compare to Cloudera Data Platform?

According to G2 data, [Confluent](https://www.g2.com/products/confluent/reviews) holds a slight advantage over [Cloudera Data Platform](https://www.g2.com/products/cloudera-cloudera-data-platform/reviews) in key usability dimensions: Confluent scores 8.4 in Usability versus Cloudera's 8.3, 8.2 versus 8.1 in Ease of Setup, 8.1 versus 7.9 in Ease of Admin, 8.3 versus 8.0 in Support, and 8.5 versus 8.4 in Ease of Doing Business. Both platforms are closely matched in Meeting Requirements (8.7 for Confluent and 8.6 for Cloudera). Confluent has an average rating of 4.4/5 from 114 reviews, outperforming Cloudera's 4.1/5 from 136 reviews. Users praise Confluent for its real-time data streaming, scalability, cloud services, and seamless integrations, with multiple mentions highlighting its efficient event processing and ease of cluster management. Cloudera is recognized for its ease of use, scalability, security, and strong data management capabilities, with 22 mentions of ease of use and 17 of scalability. However, Cloudera users note complexity in setup and higher costs, while Confluent users mention a steep learning curve and pricing concerns as well. Feature-wise, Cloudera offers Notebooks, which Confluent does not. Overall, Confluent excels in real-time streaming and developer-friendly features, whereas Cloudera is favored for comprehensive big data management and analytics in hybrid cloud environments.



### What are the best alternatives to Confluent?

According to G2 data, the best alternatives to Confluent include [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews) (4.5/5 stars, 131 reviews), [Databricks](https://www.g2.com/products/databricks/reviews) (4.6/5 stars, 803 reviews), [Snowflake](https://www.g2.com/products/snowflake/reviews) (4.5/5 stars, 755 reviews), [Alteryx](https://www.g2.com/products/alteryx/reviews) (4.6/5 stars, 816 reviews), and [Cloudera Data Platform](https://www.g2.com/products/cloudera-cloudera-data-platform/reviews) (4.1/5 stars, 136 reviews). These alternatives are highly rated and offer robust event stream processing capabilities with varying strengths in ease of use, scalability, and integration.



### What features do alternatives offer that Confluent does not?

Alternatives to Confluent such as Cloudera Data Platform and Splunk Enterprise offer native Notebooks, a feature not available in Confluent. Additionally, Alteryx provides Embedded Analytics and Notebooks, which are absent in Confluent's feature set.



### Which Event Stream Processing tools do reviewers recommend instead of Confluent?

Reviewers recommend [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews) for its high throughput, low latency, and scalability, making it ideal for real-time data streaming and event-driven architectures. [Databricks](https://www.g2.com/products/databricks/reviews) is favored for its unified platform combining data engineering, analytics, and machine learning with collaborative notebooks and fast processing. [Snowflake](https://www.g2.com/products/snowflake/reviews) is recommended for its ease of use, elastic scaling, and strong data sharing capabilities. [Alteryx](https://www.g2.com/products/alteryx/reviews) is praised for its intuitive drag-and-drop interface enabling complex data preparation and automation without extensive coding. [Cloudera Data Platform](https://www.g2.com/products/cloudera-cloudera-data-platform/reviews) is noted for its comprehensive ecosystem, scalability, and enterprise-grade security, suitable for large-scale data management and analytics. These tools provide strong alternatives to Confluent for event stream processing needs.



### Why do users choose Cloudera Data Platform over Confluent?

Users choose [Cloudera Data Platform](https://www.g2.com/products/cloudera-cloudera-data-platform/reviews) over Confluent primarily for its robust scalability, security, and comprehensive big data management capabilities. With 22 mentions of ease of use and 17 of scalability, Cloudera is favored for handling large-scale data engineering tasks and hybrid cloud deployments. Its integration with Apache Spark and Airflow facilitates efficient batch processing and automation, which appeals to data engineers managing complex pipelines. Cloudera's strong security features and compliance with industry norms are highlighted in 9 mentions, making it a preferred choice for enterprises with stringent data governance requirements. Additionally, users appreciate its performance and data analytics capabilities, with 8 mentions each, supporting data-driven decision-making. Despite some users noting complexity and higher costs (16 mentions of expense), Cloudera's extensive tooling, automation, and customer support (6 mentions) provide value that justifies the investment for organizations needing a scalable, secure, and integrated big data platform.




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