kusto-queries VS azure-kusto-spark

Compare kusto-queries vs azure-kusto-spark and see what are their differences.

kusto-queries

example queries for learning the kusto language (by tobiasmcvey)

azure-kusto-spark

Apache Spark Connector for Azure Kusto (by Azure)
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kusto-queries azure-kusto-spark
1 1
84 74
- -
0.0 6.4
almost 3 years ago 6 days ago
Scala
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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kusto-queries

Posts with mentions or reviews of kusto-queries. We have used some of these posts to build our list of alternatives and similar projects.

azure-kusto-spark

Posts with mentions or reviews of azure-kusto-spark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-16.
  • Getting started with Azure Data Explorer and Azure Synapse Analytics for Big Data processing
    2 projects | dev.to | 16 Jul 2021
    Azure Data Explorer is a fully managed data analytics service that can handle large volumes of diverse data from any data source, such as websites, applications, IoT devices, and more. Azure Data Explorer makes it simple to ingest this data and enables you to do complex ad hoc queries on the data in seconds. It scales quickly to terabytes of data, in minutes, allowing rapid iterations of data exploration to discover relevant insights. It is already integrated with Apache Spark work via the Data Source and Data Sink Connector and is used to power solutions for near real-time data processing, data archiving, machine learning etc.

What are some alternatives?

When comparing kusto-queries and azure-kusto-spark you can also consider the following projects:

azure-service-bus - ☁️ Azure Service Bus service issue tracking and samples

deequ - Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

ApplicationInsights-dotnet - ApplicationInsights-dotnet

synapse-azure-data-explorer-101 - Getting started with Azure Synapse and Azure Data Explorer

Hunting-Queries-Detection-Rules - KQL Queries. Defender For Endpoint and Azure Sentinel Hunting and Detection Queries in KQL. Out of the box KQL queries for: Advanced Hunting, Custom Detection, Analytics Rules & Hunting Rules.

SynapseML - Simple and Distributed Machine Learning

learning-cloud - Courses, sample code, articles & screencasts - AWS, Azure, & GCP

frameless - Expressive types for Spark.

ApplicationInsights-node.js - Microsoft Application Insights SDK for Node.js

Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing

awesomekql - Microsoft Sentinel, Defender for Endpoint - KQL Detection Packs