About
AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development. AWS Glue provides all the capabilities needed for data integration so that you can start analyzing your data and putting it to use in minutes instead of months. Data integration is the process of preparing and combining data for analytics, machine learning, and application development. It involves multiple tasks, such as discovering and extracting data from various sources; enriching, cleaning, normalizing, and combining data; and loading and organizing data in databases, data warehouses, and data lakes. These tasks are often handled by different types of users that each use different products. AWS Glue runs in a serverless environment. There is no infrastructure to manage, and AWS Glue provisions, configures, and scales the resources required to run your data integration jobs.
|
About
The core technology to enable modern data integration and data management solutions. Quickly connect disparate structured and unstructured sources. Catalog your entire data ecosystem. Data stays in the sources and it is accessed on demand, with no need to create another copy. Build data models that suit the needs of the consumer, even across multiple sources. Hide the complexity of your back-end technologies from the end users. The virtual model can be secured and consumed using standard SQL and other formats like REST, SOAP and OData. Easy access to all types of data. Full data integration and data modeling capabilities. Active Data Catalog and self-service capabilities for data & metadata discovery and data preparation. Full data security and data governance capabilities. Fast intelligent execution of data queries. Real-time data delivery in any format. Ability to create data marketplaces. Decoupling of business applications from data systems to facilitate data-driven strategies.
|
About
Simple, fast, safe, and compiled. For developing maintainable software. Simple language for building maintainable programs. You can learn the entire language by going through the documentation over a weekend, and in most cases, there's only one way to do something. This results in simple, readable, and maintainable code. This results in simple, readable, and maintainable code. Despite being simple, V gives a lot of power to the developer and can be used in pretty much every field, including systems programming, webdev, gamedev, GUI, mobile, science, embedded, tooling, etc. V is very similar to Go. If you know Go, you already know 80% of V. Bounds checking, No undefined values, no variable shadowing, immutable variables by default, immutable structs by default, option/result and mandatory error checks, sum types, generics, and immutable function args by default, mutable args have to be marked on call.
|
About
ZenScript originated from MineTweaker where a simple programming language is needed to allow users without programming knowledge to be able to execute simple commands by following the tutorials for it. Originally MineTweaker had a simple one-line-at-a-time parsed scripting system, but it quickly became clear that it wasn't flexible enough, so a simple parsed language was created. This parsed language worked quite well but was very inefficient as each value was wrapped into its own object. ZenScript allows mixed typed and typeless behavior. You don't need to define types anywhere, the compile will infer them where possible and exhibit typeless behavior when the type is effectively unknown. In nearly all the cases, the type is perfectly known and execution runs at native Java speed. Since there are types, they can be documented and enforced.
|
|||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||
Audience
Anyone looking for a scalable and serverless data integration solution
|
Audience
Medium to large organizations that need a data integration platform
|
Audience
Developers interested in a language for building maintainable programs
|
Audience
Any user interested in a scripting system that can be used without any programming knowledge
|
|||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||
API
Offers API
|
API
Offers API
|
API
Offers API
|
API
Offers API
|
|||
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
|||
Pricing
No information available.
Free Version
Free Trial
|
Pricing
No information available.
Free Version
Free Trial
|
Pricing
Free
Free Version
Free Trial
|
Pricing
Free
Free Version
Free Trial
|
|||
Reviews/
|
Reviews/
|
Reviews/
|
Reviews/
|
|||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||
Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/glue
|
Company InformationDenodo Technologies
Founded: 1999
United States
www.denodo.com/en
|
Company InformationV Programming Language
United States
vlang.io
|
Company InformationCraftTweaker
github.com/CraftTweaker/ZenScript
|
|||
Alternatives |
Alternatives |
Alternatives |
Alternatives |
|||
|
|
|||||
|
||||||
|
||||||
|
|
|
||||
Categories |
Categories |
Categories |
Categories |
|||
ETL Features
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
|
Integration Features
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services
|
|||||
Integrations
AWS Marketplace
AWS Step Functions
Amazon EC2
Amazon Redshift
Amazon S3 Express One Zone
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Google Cloud Platform
Looker
Orchestra
|
Integrations
AWS Marketplace
AWS Step Functions
Amazon EC2
Amazon Redshift
Amazon S3 Express One Zone
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Google Cloud Platform
Looker
Orchestra
|
Integrations
AWS Marketplace
AWS Step Functions
Amazon EC2
Amazon Redshift
Amazon S3 Express One Zone
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Google Cloud Platform
Looker
Orchestra
|
Integrations
AWS Marketplace
AWS Step Functions
Amazon EC2
Amazon Redshift
Amazon S3 Express One Zone
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Google Cloud Platform
Looker
Orchestra
|
|||
|
|
|
|