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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

AWS Glue is a fully managed data integration solution that simplifies the process of discovering, preparing, and merging data for purposes such as analytics, machine learning, and application development. By offering all the necessary tools for data integration, AWS Glue enables users to begin analyzing their data and leveraging it for insights within minutes rather than taking months. The concept of data integration encompasses various activities like identifying and extracting data from multiple sources, enhancing, cleaning, normalizing, and consolidating that data, as well as organizing and loading it into databases, data warehouses, and data lakes. Different users, each utilizing various tools, often manage these tasks. Operating within a serverless environment, AWS Glue eliminates the need for infrastructure management, automatically provisioning, configuring, and scaling the resources essential for executing data integration jobs. This efficiency allows organizations to focus more on data-driven decision-making without the overhead of manual resource management.

Description

DataNimbus, an AI-powered platform, streamlines payments and accelerates AI implementation through innovative solutions. DataNimbus improves scalability and governance by seamlessly integrating Databricks components such as Spark, Unity Catalog and ML Ops. Its offerings include a designer, a marketplace of reusable connectors and blocks for machine learning, and agile APIs. All are designed to simplify workflows while driving data-driven innovation.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

Unity Catalog Yes 
AWS App Mesh Yes 
AWS Step Functions Yes 
Acryl Data Yes 
Alex Solutions Yes 
Amazon EC2 Yes 
Amazon RDS Yes 
Amazon Security Lake Yes 
Amundsen Yes 
CData Connect Yes 
Causal Yes 
DataBuck Yes 
Mindfuel Yes 
New Relic Yes 
Privacera Yes 
Select Star Yes 
Snowflake CoCo Yes 
Stonebranch Yes 
TrustLogix Yes 
Varada Yes 

Integrations

Unity Catalog Yes 
AWS App Mesh No 
AWS Step Functions No 
Acryl Data No 
Alex Solutions No 
Amazon EC2 No 
Amazon RDS No 
Amazon Security Lake No 
Amundsen No 
CData Connect No 
Causal No 
DataBuck No 
Mindfuel No 
New Relic No 
Privacera No 
Select Star No 
Snowflake CoCo No 
Stonebranch No 
TrustLogix No 
Varada No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version 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 

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 Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

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

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

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

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/glue/

Vendor Details

Company Name

DataNimbus

Founded

2018

Country

United States

Website

datanimbus.com

Product Features

Data Discovery

Contextual Search No 
Data Classification No 
Data Matching No 
False Positives Reduction No 
Self Service Data Preparation No 
Sensitive Data Identification No 
Visual Analytics No 

Data Preparation

Collaboration Tools No 
Data Access No 
Data Blending No 
Data Cleansing No 
Data Governance No 
Data Mashup No 
Data Modeling No 
Data Transformation No 
Machine Learning No 
Visual User Interface No 

ETL

Data Analysis Yes 
Data Filtering Yes 
Data Quality Control Yes 
Job Scheduling No 
Match & Merge Yes 
Metadata Management Yes 
Non-Relational Transformations Yes 
Version Control Yes 

Product Features

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

ETL

Data Analysis No 
Data Filtering No 
Data Quality Control No 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

Alternatives

Alternatives

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