Spark Streaming
Confluent
Amazon Kinesis
Google Cloud Dataflow
Apache Flink
Leo Platform
Lenses
Striim
Calisti
Lenses.io
VMware Tanzu
Red Hat Enterprise Linux
Integrify
Striim
Confluent
Laragon
Calisti effortlessly secures, deploys, and manages your cloud native apps and event drive platforms such as Apache Kafka at scale on Kubernetes, on hybrid multi-cloud ◦ Calisti simplifies zero-trust security by integrating security into Apache Kafka through Kubernetes. ◦ Calisti simplifies observability by integrating metrics, events, logs, topology, and tracing into a single pane of glass, accelerating root cause analysis and remediation time. ◦ Calisti simplifies the management of services such as Scaling of clusters by providing a user-friendly platform offering features like real-time network debugging tools, integrated configuration validation, and a sleek UI dashboard.
Spark Streaming CalistiNo features have been listed yet.
Based on our record, Spark Streaming seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 3 months ago
Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 1 year ago
Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 2 years ago
Confluent - Confluent offers a real-time data platform built around Apache Kafka.
Lenses.io - Lenses delivers DataOps for any Apache Kafka. With Lenses, engineers are more productive when building streaming applications on Kafka.
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
VMware Tanzu - Pivotal Platform is the unified, multi-cloud platform to run your enterprise apps at scale. Ship code more often, continuously deliver customer value, and thrive in a cloud-native era.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Red Hat Enterprise Linux - Red Hat Enterprise Linux is an open source operating system that is certified on hundreds of clouds & with thousands of hardware & software vendors.