Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin.
Under $1,000 per month.
The solution's pricing is fair.
Under $1,000 per month.
The solution's pricing is fair.
Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed service that enables you to build and run applications that use Apache Kafka to process streaming data. Amazon MSK provides the control-plane operations, such as those for creating, updating, and deleting clusters.
The price of Amazon MSK is less than some competitor solutions, such as Confluence.
The platform has better pricing than one of its competitors.
The price of Amazon MSK is less than some competitor solutions, such as Confluence.
The platform has better pricing than one of its competitors.
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.
The Striim platform makes it easy to ingest, process, and deliver real-time data across diverse environments in the cloud or on-premise, helping you rapidly adopt a modern data architecture. With Striim you can build streaming data pipelines to cloud environments - such as Microsoft Azure, Amazon AWS, and Google Cloud Platform - as well as Kafka, Hadoop, NoSQL and relational databases (on-premises or in the cloud) with reliability, security, and scalability.
Lenses.io delivers a developer workspace for building & operating real-time applications on any Apache Kafka. By enabling teams to monitor, investigate, secure and deploy on their data platform, organizations can shift their focus to data-driven business outcomes and help engineers get their weekends back.
Dell EMC Streaming Data Platform, an innovative enterprise-grade software
platform, empowers organizations by harnessing their real-time and historical
data in a single, auto-scale infrastructure and programming model. Using the
Streaming Data Platform, organizations can achieve improvement towards
innovation throughout their entire ecosystem and harness the power of every
piece of their massive data set.
The pricing is good. With PowerScale, purchasing involves upfront usable capacity, typically with a price per terabyte.
The pricing is good. With PowerScale, purchasing involves upfront usable capacity, typically with a price per terabyte.
