Spring Batch
Apache Airflow
Apache Kylin
Apache Spark
DataGrip
Control-M
Databricks
Apache Flink
Amazon Kinesis
Apache Flink
Confluent
Apache Kafka
Spark Streaming
Google Cloud Dataflow
PieSync
Azure Stream Analytics
Spring BatchBased on our record, Amazon Kinesis seems to be a lot more popular than Spring Batch. While we know about 23 links to Amazon Kinesis, we've tracked only 2 mentions of Spring Batch. 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.
Batch jobs? Absolutely. https://spring.io/projects/spring-batch. Source: almost 2 years ago
Spring Boot: is my go to for REST APIs or workers https://spring.io/projects/spring-boot Spring Batch: for async/batch work https://spring.io/projects/spring-batch. - Source: Hacker News / almost 3 years ago
Event Consumers: Services that actively listen for events and respond accordingly. These consumers can be easily implemented using microservices, AWS Lambda or Amazon Kinesis (for ingesting, processing, and analyzing streaming data in real-time). - Source: dev.to / about 1 month ago
When you see Amazon Kinesis as an option, this becomes the ideal option to process data in real time. 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... - Source: dev.to / 3 months ago
RisingWave is an open-source streaming database that has built-in fully-managed CDC source connectors for various databases, also it can collect data from other sources such Kafka, Pulsar, Kinesis, or Redpanda and it allows you to query real-time streams using SQL. You can get a materialized view that is always up-to-date. - Source: dev.to / about 1 year ago
For example, RisingWave is one of the fastest-growing open-source streaming databases that can ingest data from Apache Kafka, Apache Pulsar, Amazon Kinesis, Redpanda, and databases via native Change data capture connections or using Debezium connectors to MySQL and PostgreSQL sources. Previously, I wrote a blog post about how to choose the right streaming database that discusses some key factors that you should... - Source: dev.to / about 1 year ago
RisingWave is an open-source distributed SQL database for stream processing. RisingWave accepts data from sources like Apache Kafka, Apache Pulsar, Amazon Kinesis, Redpanda, and databases via native Change data capture connections to MySQL and PostgreSQL sources. It uses the concept of materialized view that involves caching the outcome of your query operations and it is quite efficient for long-running stream... - Source: dev.to / about 1 year ago
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Apache Kylin - OLAP Engine for Big Data
Confluent - Confluent offers a real-time data platform built around Apache Kafka.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
