Software Alternatives & Reviews
Register   |   Login

5 Best-Performing Tools that Build Real-Time Data Pipeline

Recommended and mentioned products

  1. Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

    On explaining technical stuff in a non-technical way — (Py)Spark about 23 days ago

    The homework example illustrates, as I understand it, the over-simplified basic thinking behind Apache Spark (and many similar frameworks and systems, e.g. Horizontal or vertical data “sharding”), splitting the data into reasonable groups (called “partitions” in Spark’s case), given the fact that you know what kind of tasks you have to perform on the data, so that you are efficient, and distribute those partitions...
  2. A cloud based data manipulation platform.

  3. Open-source software for reliable, scalable, distributed computing

    The Data Engineering Interview Study Guide about 23 days ago

    Some positions require Hadoop, others SQL. Some roles require understanding statistics, while still others require heavy amounts of system design.
  4. Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

    Redis vs. Memcached – 2021 Comparison about 8 days ago:

    Redis supports Kafka-like streams with 5.0 or higher version using a new data structure “Redis Streams”. Redis Streams has the concept of consumer groups, like Apache Kafka, that lets client applications consume messages in a distributed fashion, making it easy to scale and create highly available systems.
  5. Apache Storm is a free and open source distributed realtime computation system.

    7 Real-Time Data Streaming Tools You Should Consider On Your... about about 2 months ago:

    Storm is a popular distributed real-time computation system that works for big data with a simple processing model to carry out powerful abstractions. This framework --- made an open source project by Twitter --- has been touted as the real-time Hadoop.