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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

A SQL query engine that operates without a predefined schema, designed for use with Hadoop, NoSQL databases, and cloud storage solutions. This innovative engine allows for flexible data retrieval and analysis across various storage types, adapting seamlessly to diverse data structures.

Description

Apache Spark™ serves as a comprehensive analytics platform designed for large-scale data processing. It delivers exceptional performance for both batch and streaming data by employing an advanced Directed Acyclic Graph (DAG) scheduler, a sophisticated query optimizer, and a robust execution engine. With over 80 high-level operators available, Spark simplifies the development of parallel applications. Additionally, it supports interactive use through various shells including Scala, Python, R, and SQL. Spark supports a rich ecosystem of libraries such as SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming, allowing for seamless integration within a single application. It is compatible with various environments, including Hadoop, Apache Mesos, Kubernetes, and standalone setups, as well as cloud deployments. Furthermore, Spark can connect to a multitude of data sources, enabling access to data stored in systems like HDFS, Alluxio, Apache Cassandra, Apache HBase, and Apache Hive, among many others. This versatility makes Spark an invaluable tool for organizations looking to harness the power of large-scale data analytics.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Astro by Astronomer Yes 
Hadoop Yes 
Hue Yes 
Qlik Staige Yes 
SQL Yes 
Timbr.ai Yes 
Alteryx No 
Baidu AI Cloud Stream Computing No 
E2E Cloud No 
Gable No 
Google Cloud Managed Service for Apache Spark No 
Great Expectations No 
HPE Ezmeral No 
Mage Static Data Masking No 
Okera No 
Riak TS No 
RunCode No 
SnowcatCloud No 
StreamFlux No 

Integrations

Astro by Astronomer Yes 
Hadoop Yes 
Hue Yes 
Qlik Staige Yes 
SQL Yes 
Timbr.ai Yes 
Alteryx Yes 
Baidu AI Cloud Stream Computing Yes 
E2E Cloud Yes 
Gable Yes 
Google Cloud Managed Service for Apache Spark Yes 
Great Expectations Yes 
HPE Ezmeral Yes 
Mage Static Data Masking Yes 
Okera Yes 
Riak TS Yes 
RunCode Yes 
SnowcatCloud Yes 
StreamFlux Yes 

Pricing Details

Free, Open Source Software
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

drill.apache.org

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

spark.apache.org

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Streaming Analytics

Data Enrichment Yes 
Data Wrangling / Data Prep Yes 
Multiple Data Source Support Yes 
Process Automation Yes 
Real-time Analysis / Reporting No 
Visualization Dashboards No 

Alternatives

Alternatives

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