Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • TIMi Reviews & Ratings
    4.9 out of 5 stars 68 Ratings
    Company Website for TIMi
  • DbVisualizer Reviews & Ratings
    4.8 out of 5 stars 593 Ratings
    Company Website for DbVisualizer
  • SCIKIQ Reviews & Ratings
    4.6 out of 5 stars 14 Ratings
    Company Website for SCIKIQ
  • Google Cloud BigQuery Reviews & Ratings
    4.5 out of 5 stars 2,037 Ratings
    Company Website for Google Cloud BigQuery
  • Semarchy xDM Reviews & Ratings
    4.7 out of 5 stars 64 Ratings
    Company Website for Semarchy xDM
  • Google Cloud Platform Reviews & Ratings
    4.5 out of 5 stars 61,093 Ratings
    Company Website for Google Cloud Platform
  • DataHub Reviews & Ratings
    4.5 out of 5 stars 10 Ratings
    Company Website for DataHub
  • Safetica Reviews & Ratings
    4.7 out of 5 stars 416 Ratings
    Company Website for Safetica
  • Couchbase Reviews & Ratings
    4.4 out of 5 stars 418 Ratings
    Company Website for Couchbase
  • 3Q Reviews & Ratings
    4.9 out of 5 stars 14 Ratings
    Company Website for 3Q

What is Azure Data Explorer?

Azure Data Explorer offers a swift and comprehensive data analytics solution designed for real-time analysis of vast data streams originating from various sources such as websites, applications, and IoT devices. You can pose questions and conduct iterative data analyses on the fly, enhancing products and customer experiences, overseeing device performance, optimizing operations, and ultimately boosting profitability. This platform enables you to swiftly detect patterns, anomalies, and trends within your data. Discovering answers to your inquiries becomes a seamless process as you delve into new subjects. With a cost-effective structure, you can execute an unlimited number of queries without hesitation. Efficiently uncover new opportunities within your data, all while utilizing a fully managed and user-friendly analytics service that allows you to concentrate on deriving insights rather than managing infrastructure. The ability to quickly adapt to dynamic and rapidly changing data environments is a key feature of Azure Data Explorer, making it a vital tool for simplifying analytics across all forms of streaming data. This capability not only enhances decision-making but also empowers organizations to stay ahead in an increasingly data-driven landscape.

What is Apache Spark?

Apache Spark™ is a powerful analytics platform crafted for large-scale data processing endeavors. It excels in both batch and streaming tasks by employing an advanced Directed Acyclic Graph (DAG) scheduler, a highly effective query optimizer, and a streamlined physical execution engine. With more than 80 high-level operators at its disposal, Spark greatly facilitates the creation of parallel applications. Users can engage with the framework through a variety of shells, including Scala, Python, R, and SQL. Spark also boasts a rich ecosystem of libraries—such as SQL and DataFrames, MLlib for machine learning, GraphX for graph analysis, and Spark Streaming for processing real-time data—which can be effortlessly woven together in a single application. This platform's versatility allows it to operate across different environments, including Hadoop, Apache Mesos, Kubernetes, standalone systems, or cloud platforms. Additionally, it can interface with numerous data sources, granting access to information stored in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and many other systems, thereby offering the flexibility to accommodate a wide range of data processing requirements. Such a comprehensive array of functionalities makes Spark a vital resource for both data engineers and analysts, who rely on it for efficient data management and analysis. The combination of its capabilities ensures that users can tackle complex data challenges with greater ease and speed.

Media

Media

Integrations Supported

Azure Marketplace

Integrations Supported

Azure Marketplace
Actian Data Platform
Amazon EMR
Amazon SageMaker Data Wrangler
Apache Bigtop
Apache HBase
Apache Mahout
Baidu Sugar
Determined AI
Equalum
Genesis Computing
Great Expectations
Kylo
Lightbits
MLflow
NVMesh
ScaleOps
Spark Streaming
Style Intelligence
VeloDB

API Availability

API Availability

Pricing Information

$0.11 per hour
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/data-explorer/

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

spark.apache.org

Categories and Features

Data Analysis

Not specified

Data Discovery

Not specified

Streaming Analytics

Not specified

Categories and Features

Big Data

Not specified

Data Analysis

Not specified

Data Modeling

Not specified

Query Engines

Not specified

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation

Popular Alternatives

Omniscope Evo Reviews & Ratings

Omniscope Evo

Visokio
5.0 out of 5 stars

Popular Alternatives

TIMi Reviews & Ratings

TIMi

4.9 out of 5 stars
Snowflake Reviews & Ratings

Snowflake

4.8 out of 5 stars
dbt Reviews & Ratings

dbt

dbt Labs
5.0 out of 5 stars
Apache Spark Reviews & Ratings

Apache Spark

Apache Software Foundation
MLlib Reviews & Ratings

MLlib

Apache Software Foundation