Apache Flume
Fluentd
Apache Flink
Graylog
Splunk
FileBeat
Apache Spark
Microsoft Azure HDInsight
Spark Streaming
Confluent
Amazon Kinesis
Google Cloud Dataflow
Apache Flink
Leo Platform
Lenses
Striim
Apache Flume Spark StreamingNo Apache Flume videos yet. You could help us improve this page by suggesting one.
Based on our record, Spark Streaming should be more popular than Apache Flume. 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.
Apache Flume is an open-source log management tool designed to efficiently collect, aggregate, and transport large volumes of log data from various sources to a centralized data store, such as HDFS or Hbase. It excels in handling large amounts of log data in real-time and is highly scalable, able to handle the load from multiple servers, network devices, and applications. - Source: dev.to / over 1 year ago
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
Fluentd - Fluentd is a cross platform open source data collection solution originally developed at Treasure Data.
Confluent - Confluent offers a real-time data platform built around Apache Kafka.
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Graylog - Graylog is an open source log management platform for collecting, indexing, and analyzing both structured and unstructured data.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
