

Find out what your peers are saying about Databricks, Microsoft, Apache and others in Streaming Analytics.
I have seen a return on investment with VMware Tanzu Data Solutions because of its speed and the robustness of the environment.
The Apache community provides support for the open-source version.
There is plenty of community support available online.
With Microsoft, expectations are higher because we pay for a license and have a contract.
If anything happens in terms of technicalities and I raise a ticket, they address it immediately, irrespective of the SLA agreement.
I am going to give them a ten out of ten.
Customer support for VMware Tanzu Data Solutions has been good with me and with VMware, including Broadcasts.
Customers have not faced issues with user growth or data streaming needs.
Apache Kafka is highly scalable and supports horizontal scaling by allowing you to add more brokers to the cluster and increase the number of partitions for a topic.
I need to enable my solution with high availability and scalability.
Most of our functions or jobs are queued due to that.
Apache Kafka is stable.
This feature of Apache Kafka has helped enhance our system stability when handling high volume data.
Apache Kafka is more stable and is very good technology for asynchronous programming.
I have faced stability issues, mainly due to the storage my organization has, though I am not sure if it's specifically due to the tool.
Broadcom and VMware are doing a great job. They are fast in response.
Operating an Apache Kafka cluster requires expertise in partitioning, application monitoring, and capacity planning.
The performance angle is critical, and while it works in milliseconds, the goal is to move towards microseconds.
Apache Kafka groups could introduce themes or profiles of configuration to help manage this complexity without needing expertise.
Simplifying the initial setup and day-to-day operations could reduce the learning curve for new users.
They are losing business.
I think they must ensure compatibility with many cloud technologies, including those from the US and China, to make it more versatile in the future.
From a price perspective, if you are asking about Apache Kafka, I would rate it a nine.
The open-source version of Apache Kafka results in minimal costs, mainly linked to accessing documentation and limited support.
Apache Kafka itself is open source and free to use.
My experience with pricing, setup cost, and licensing for VMware Tanzu Data Solutions is that it is a bit expensive.
Apache Kafka is effective when dealing with large volumes of data flowing at high speeds, requiring real-time processing.
Apache Kafka is particularly valuable for managing high levels of transactions.
The best features include high throughput with low latency and support for horizontal scaling.
The principal aspect is the creation of Kubernetes clusters.
Kubernetes native application databases that are managed together allow scaling of application, database, storage, and networking to be automated.
The self-healing feature of VMware Tanzu Data Solutions has helped my team by recreating new instances automatically when particular instances are in a failure state, thereby maintaining the complete environment and reducing downtime.
| Product | Mindshare (%) |
|---|---|
| Apache Kafka | 3.6% |
| Databricks | 7.4% |
| Apache Flink | 7.0% |
| Other | 82.0% |
| Product | Mindshare (%) |
|---|---|
| VMware Tanzu Data Solutions | 5.0% |
| Snowflake | 9.2% |
| Teradata | 8.7% |
| Other | 77.1% |


| Company Size | Count |
|---|---|
| Small Business | 33 |
| Midsize Enterprise | 20 |
| Large Enterprise | 51 |
| Company Size | Count |
|---|---|
| Small Business | 32 |
| Midsize Enterprise | 11 |
| Large Enterprise | 52 |
Apache Kafka provides scalable, high-throughput, real-time data processing. Appreciated for its open-source nature and integration capabilities, Kafka supports distributed messaging and high-volume handling with essential features like message retention, replication, and partitioning.
Apache Kafka is a powerful tool for managing efficient data streams and high volumes of asynchronous messages. Its ease of setup and robust integration options make it popular among industries requiring real-time data streaming and processing. Key features such as message retention and consumer groups cater to demanding applications, while fault-tolerant design ensures reliability. Despite its advantages, Kafka can improve in areas like duplicate management, documentation, and intuitive interfaces. Challenges in configuration and monitoring tools suggest areas for enhancement, alongside reducing complexity and resource dependency.
What are the key features of Apache Kafka?Industry applications for Apache Kafka include real-time data streaming for IoT, big data management, and analytics. In finance, it supports fraud detection and transaction monitoring. Healthcare uses Kafka for patient data handling and logistics leverage its data distribution capabilities to optimize operations. Its ability to manage large-scale asynchronous communication makes it vital across sectors demanding high data throughput and reliability.
VMware Tanzu is a robust platform tailored for data warehousing, complex analytics, BI applications, and predictive analytics. It excels in scalability, performance, and parallel processing, enhancing data handling efficiency. Users report significant productivity improvements and streamlined operations, making it ideal for comprehensive data solutions.
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