Query Real Time Data in Kafka Using SQL

Big Data Stream Processing Databases

Apache Spark Landing Page
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Apache Spark

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Pricing:
- Open Source
Additionally, one of the challenges of working with Kafka is how to efficiently analyze and extract insights from the large volumes of data stored in Kafka topics. Traditional batch processing approaches, such as Hadoop MapReduce or Apache Spark, can be slow and expensive, and may not be suitable for real-time analytics. To address this challenge, you can use SQL queries with Kafka to analyze and extract insights from the data in real time.

#Databases #Big Data #Big Data Analytics 56 social mentions
Minio Landing Page

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Minio

Minio is an open-source minimal cloud storage server.

With this configuration, Docker initiates a demo cluster with all RisingWave components, including the frontend node, compute node, metadata node, and MinIO. The workload generator will start to generate random mock data and feed them into Kafka topics. In this demo cluster, data of materialized views will be stored in the MinIO instance.

#Cloud Storage #Cloud Computing #Object Storage 154 social mentions
Materialize Landing Page
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Materialize

A Streaming Database for Real-Time Applications
Pricing:
- Open Source
Most streaming database technologies use SQL for these reasons: RisingWave, Materialize, KsqlDB, Apache Flink, and so on offering SQL interfaces. This post explains how to choose the right streaming database.

#Database Tools #Databases #Relational Databases 65 social mentions
Apache Kafka Landing Page
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Apache Kafka

Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Pricing:
- Open Source
Apache Kafka is a distributed streaming platform that allows you to store and process real-time data streams. It is commonly used in modern data architectures to capture and analyze user interactions with web and mobile applications, as well as IoT device data, logs, and system metrics. It is often used for real-time data processing, data pipelines, and event-driven applications. However, querying data stored in Kafka can be challenging, especially for users who are more comfortable with SQL than with Kafka's native APIs. This is where the streaming SQL engine and database can be helpful. It is actually possible to run SQL directly on streaming data.

#Stream Processing #Data Integration #ETL 120 social mentions
Apache Flink Landing Page
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Apache Flink

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Pricing:
- Open Source
Most streaming database technologies use SQL for these reasons: RisingWave, Materialize, KsqlDB, Apache Flink, and so on offering SQL interfaces. This post explains how to choose the right streaming database.

#Stream Processing #Big Data #Developer Tools 27 social mentions
Amazon Kinesis Landing Page

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Amazon Kinesis

Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

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 processing queries.

#Stream Processing #Data Management #Analytics 22 social mentions