Compare Ascend vs AWS Glue

Summary

Ascend software is a platform used to Autonomous Dataflow Service to build, scale, and operate continuously optimized. Build Spark-based pipelines with less code. Deploy and run seamlessly in Microsoft Azure, Amazon Web Services, and Google Cloud Platform. Build and visualize declarative configurations using modular transforms in SQL and PySpark, with full lineage and dependency management. Developers, Small, Medium and Large companies make use of the software. ..show more

AWS Glue is a serverless data integration platform that makes combining, preparing, and finding data for application development, machine learning, and analytics a breeze. It delivers all of the features required for data integration, allowing you to begin analyzing and putting your data to use in minutes rather than months. To make data integration simpler, AWS Glue offers both code-based and visual interfaces. The AWS Glue Data Catalog allows users to quickly locate and retrieve data. With just limited clicks in AWS Glue Studio, ETL (extract, transform, and load) developers and data engineers can graphically construct, execute, and monitor ETL processes. AWS Glue DataBrew allows data analysts and scientists to visually enhance, clean, and standardize information without writing codes. AWS Glue scans your data sources, recognizes data types, and recommends schemas for storing your data. It produces the code needed to conduct your data transformations and loading operations automatically. AWS Glue makes it simple to perform and manage hundreds of ETL processes, as well as to mix and duplicate data across numerous data stores using SQL. ..show more

API Integration It allows easy integration of logic or data with other software application.

Compliance Tracking Helps in tracking and monitoring and auditing all the regulatory compliance requirements

Data Analysis Helps in analyzing stored raw data and converting them into useful reports

Data Extraction Helps in extracts the data from different databases and files

Data Filtering Helps in refining the data into datasets to form strategic groups

Data Integration Helps in collecting and combining data from multiple data sources and offer them in a unified manner to the user

Data Quality Control Helps in monitoring the quality of data input and processed

Data Transformation It helps in formatting the extracted data as specified in the target format.

Managed File Transfers Ad-hoc file transfers solution using FTP, HTTP, and etc.

Master Data Management Enables an organization to manage and integrate all of its critical corporate to a centralized point of reference

Match & Merge Helps matching data across multiple sources and to merge them for offering a better view to the data managers

Metadata Management Helps in administering and managing the data that describes other data

Version Control It gives the team the ability to recall specific versions of a document, code, content, file, or folder that records changes over time.

Top alternatives to Ascend

Elevate LMS

Rise

Incognito for Slack

Transcend Consent Manager

NFS Ascent

Top alternatives to AWS Glue

Spark CMS

Informatica Cloud Data Quality

Databricks

Azure Data Factory

Panoply