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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Ascend provides data teams with a streamlined and automated platform that allows them to ingest, transform, and orchestrate their entire data engineering and analytics workloads at an unprecedented speed, achieving results ten times faster than before. This tool empowers teams that are often hindered by bottlenecks to effectively build, manage, and enhance the ever-growing volume of data workloads they face. With the support of DataAware intelligence, Ascend operates continuously in the background to ensure data integrity and optimize data workloads, significantly cutting down maintenance time by as much as 90%. Users can effortlessly create, refine, and execute data transformations through Ascend’s versatile flex-code interface, which supports the use of multiple programming languages such as SQL, Python, Java, and Scala interchangeably. Additionally, users can quickly access critical metrics including data lineage, data profiles, job and user logs, and system health indicators all in one view. Ascend also offers native connections to a continually expanding array of common data sources through its Flex-Code data connectors, ensuring seamless integration. This comprehensive approach not only enhances efficiency but also fosters stronger collaboration among data teams.

Description

Power Query provides a user-friendly solution for connecting, extracting, transforming, and loading data from a variety of sources. Acting as a robust engine for data preparation and transformation, Power Query features a graphical interface that simplifies the data retrieval process and includes a Power Query Editor for implementing necessary changes. The versatility of the engine allows it to be integrated across numerous products and services, meaning the storage location of the data is determined by the specific application of Power Query. This tool enables users to efficiently carry out the extract, transform, and load (ETL) processes for their data needs. With Microsoft’s Data Connectivity and Data Preparation technology, users can easily access and manipulate data from hundreds of sources in a straightforward, no-code environment. Power Query is equipped with support for a multitude of data sources through built-in connectors, generic interfaces like REST APIs, ODBC, OLE, DB, and OData, and even offers a Power Query SDK for creating custom connectors tailored to individual requirements. This flexibility makes Power Query an indispensable asset for data professionals seeking to streamline their workflows.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Redshift
Apache Hive
Azure Blob Storage
Databricks Data Intelligence Platform
Facebook
Google Cloud Platform
MariaDB
Microsoft Power BI
MySQL
PostgreSQL
SQL Server
Salesforce Sales Cloud
Snowflake
Active Directory
Automation Anywhere
InterSystems IRIS
Microsoft Power Automate
Microsoft SharePoint
Paxata
QuickBooks Online

Integrations

Amazon Redshift
Apache Hive
Azure Blob Storage
Databricks Data Intelligence Platform
Facebook
Google Cloud Platform
MariaDB
Microsoft Power BI
MySQL
PostgreSQL
SQL Server
Salesforce Sales Cloud
Snowflake
Active Directory
Automation Anywhere
InterSystems IRIS
Microsoft Power Automate
Microsoft SharePoint
Paxata
QuickBooks Online

Pricing Details

$0.98 per DFC
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Ascend

Country

United States

Website

www.ascend.io

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

powerquery.microsoft.com/en-us/

Product Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Product Features

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

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