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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Apache Ivy™ serves as a widely-used dependency manager that emphasizes both flexibility and ease of use. Discover its distinct enterprise capabilities, user feedback, and the ways it can enhance your build process! Ivy operates as a tool designed for the management of project dependencies, which includes recording, tracking, resolving, and reporting. It is not confined to any specific methodology or framework, allowing it to be highly adaptable to various dependency management and build workflows. Although it can function independently, Ivy is particularly effective in conjunction with Apache Ant, offering a variety of robust Ant tasks that range from resolving dependencies to generating reports and facilitating publication. Among its many powerful attributes, users often highlight its flexibility, seamless integration with Ant, and an efficient engine for managing transitive dependencies. Additionally, Ivy is an open-source tool, distributed under a permissive Apache License, making it accessible for a wide audience. This combination of features positions Ivy as a valuable asset for developers seeking to streamline their dependency management processes.

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

Alibaba Log Service No 
Alluxio No 
Amazon SageMaker Data Wrangler No 
Apache Mesos No 
Coginiti No 
Deep.BI No 
HStreamDB No 
Inferyx No 
Kylo No 
Mage Dynamic Data Masking No 
Mage Platform No 
NVIDIA Magnum IO No 
OctoData No 
Precisely Connect No 
PySpark No 
RunCode No 
ScaleOps No 
Snowflake CoCo No 
Tonic No 
eQube®-DaaS No 

Integrations

Alibaba Log Service Yes 
Alluxio Yes 
Amazon SageMaker Data Wrangler Yes 
Apache Mesos Yes 
Coginiti Yes 
Deep.BI Yes 
HStreamDB Yes 
Inferyx Yes 
Kylo Yes 
Mage Dynamic Data Masking Yes 
Mage Platform Yes 
NVIDIA Magnum IO Yes 
OctoData Yes 
Precisely Connect Yes 
PySpark Yes 
RunCode Yes 
ScaleOps Yes 
Snowflake CoCo Yes 
Tonic Yes 
eQube®-DaaS Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

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

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

Apache Software Foundation

Country

United States

Website

ant.apache.org/ivy/

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

spark.apache.org

Product Features

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 

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