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Average Ratings 0 Ratings

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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

Data processing that integrates both streaming and batch operations while being serverless, efficient, and budget-friendly. It offers a fully managed service for data processing, ensuring seamless automation in the provisioning and administration of resources. With horizontal autoscaling capabilities, worker resources can be adjusted dynamically to enhance overall resource efficiency. The innovation is driven by the open-source community, particularly through the Apache Beam SDK. This platform guarantees reliable and consistent processing with exactly-once semantics. Dataflow accelerates the development of streaming data pipelines, significantly reducing data latency in the process. By adopting a serverless model, teams can devote their efforts to programming rather than the complexities of managing server clusters, effectively eliminating the operational burdens typically associated with data engineering tasks. Additionally, Dataflow’s automated resource management not only minimizes latency but also optimizes utilization, ensuring that teams can operate with maximum efficiency. Furthermore, this approach promotes a collaborative environment where developers can focus on building robust applications without the distraction of underlying infrastructure concerns.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

CData Connect Yes 
DataBuck Yes 
New Relic Yes 
Orchestra Yes 
Protegrity Yes 
Alex Solutions Yes 
Amazon DataZone Yes 
Amazon EC2 Yes 
Amazon Redshift Yes 
Causal Yes 
FairCom DB Yes 
Feroot Yes 
Google Cloud Confidential VMs No 
Google Cloud Profiler No 
Pantomath No 
Pendula Yes 
Secoda Yes 
Stonebranch Yes 
TrustLogix Yes 
Varada Yes 

Integrations

CData Connect Yes 
DataBuck Yes 
New Relic Yes 
Orchestra Yes 
Protegrity Yes 
Alex Solutions No 
Amazon DataZone No 
Amazon EC2 No 
Amazon Redshift No 
Causal No 
FairCom DB No 
Feroot No 
Google Cloud Confidential VMs Yes 
Google Cloud Profiler Yes 
Pantomath Yes 
Pendula No 
Secoda 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 No 
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 No 
Live Rep (24/7) No 
Online Support No 

Types of Training

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

Types of Training

Training Docs Yes 
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

Google

Founded

1998

Country

United States

Website

cloud.google.com/dataflow

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

Streaming Analytics

Data Enrichment Yes 
Data Wrangling / Data Prep Yes 
Multiple Data Source Support Yes 
Process Automation Yes 
Real-time Analysis / Reporting Yes 
Visualization Dashboards Yes 

Alternatives

Alternatives

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