Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery.
I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.
Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery.
I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.
Confluent is an enterprise-ready, full-scale streaming platform that enhances Apache Kafka.
You have to pay additional for one or two features.
Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance.
You have to pay additional for one or two features.
Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance.
Azure Stream Analytics is a robust real-time analytics service that has been designed for critical business workloads. Users are able to build an end-to-end serverless streaming pipeline in minutes. Utilizing SQL, users are able to go from zero to production with a few clicks, all easily extensible with unique code and automatic machine learning abilities for the most advanced scenarios.
The cost of this solution is less than competitors such as Amazon or Google Cloud.
We pay approximately $500,000 a year. It's approximately $10,000 a year per license.
The cost of this solution is less than competitors such as Amazon or Google Cloud.
We pay approximately $500,000 a year. It's approximately $10,000 a year per license.
Apache Flink is an open-source batch and stream data processing engine. It can be used for batch, micro-batch, and real-time processing. Flink is a programming model that combines the benefits of batch processing and streaming analytics by providing a unified programming interface for both data sources, allowing users to write programs that seamlessly switch between the two modes. It can also be used for interactive queries.
This is an open-source platform that can be used free of charge.
The solution is open-source, which is free.
This is an open-source platform that can be used free of charge.
The solution is open-source, which is free.
The price of the solution depends on many factors, such as how they pay for tools in the company and its size.
Google Cloud is slightly cheaper than AWS.
The price of the solution depends on many factors, such as how they pay for tools in the company and its size.
Google Cloud is slightly cheaper than AWS.
Spring Cloud Data Flow is used for building data pipelines, ETL processes, and asynchronous workloads. It excels in real-time streaming, Kafka and Elasticsearch integration, and microservices orchestration. Users appreciate its straightforward programming model, auto-configuration, and user-friendly interface. Enhancements are needed in monitoring tools, documentation, and multi-language support.
This is an open-source product that can be used free of charge.
If you want support from Spring Cloud Data Flow there is a fee. The Spring Framework is open-source and this is a free solution.
This is an open-source product that can be used free of charge.
If you want support from Spring Cloud Data Flow there is a fee. The Spring Framework is open-source and this is a free solution.
The pricing and licensing were very transparent and well-communicated by our account manager.
It could be cheaper. Its licensing is on a yearly basis.
The pricing and licensing were very transparent and well-communicated by our account manager.
It could be cheaper. Its licensing is on a yearly basis.
Spark Streaming makes it easy to build scalable fault-tolerant streaming applications.
People pay for Apache Spark Streaming as a service.
I was using the open-source community version, which was self-hosted.
People pay for Apache Spark Streaming as a service.
I was using the open-source community version, which was self-hosted.
Cloudera DataFlow (CDF) is a comprehensive edge-to-cloud real-time streaming data platform that gathers, curates, and analyzes data to provide customers with useful insight for immediately actionable intelligence. It resolves issues with real-time stream processing, streaming analytics, data provenance, and data ingestion from IoT devices and other sources that are associated with data in motion. Cloudera DataFlow enables secure and controlled data intake, data transformation, and content routing because it is built entirely on open-source technologies. With regard to all of your strategic digital projects, Cloudera DataFlow enables you to provide a superior customer experience, increase operational effectiveness, and maintain a competitive edge.
DataFlow isn't expensive, but its value for money isn't great.
DataFlow isn't expensive, but its value for money isn't great.
Apache Pulsar is a cloud-native, distributed messaging and streaming platform originally created at Yahoo! and now a top-level Apache Software Foundation project
Aiven for Apache Kafka is a highly praised service designed to streamline real-time data processing and integration across various systems. Primarily celebrated for enhancing data streaming capabilities, it supports crucial operations such as real-time analytics, event-driven architectures, message brokering, and log aggregation. These applications allow for rapid and reliable handling of large data volumes, facilitating immediate insights and swift decision-making. Users have acknowledged Kafka's robust tools in maintaining high throughput for event notifications and acting as a central communication hub, which boosts system consistency and reduces dependencies.
Among its standout features, Aiven for Apache Kafka offers scalable solutions that adapt to changing demands without impacting performance. Its data replication capabilities ensure data integrity and availability across various locations, boosting organizational resilience. Additionally, comprehensive monitoring and automated backups provide essential insights and data security, further endorsed by users for adding layers of reliability and operational peace of mind.
Leveraging Aiven for Apache Kafka has notably enhanced organizational efficiency by automating workflows, minimizing errors, and allowing teams to concentrate on strategic objectives. Improved data management and accessibility foster informed decision-making, ultimately contributing to better collaboration and increased productivity across teams.
