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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Designed specifically for Azure, DQ on Demand™ boasts remarkable performance and scalability. Transitioning between data providers is seamless, allowing you to enhance your customer data with a pay-as-you-go model by directly accessing our DQ on Demand™ web services, which act as a user-friendly data quality marketplace. A wide array of data services is offered, such as data cleansing, enrichment, formatting, validation, verification, and transformations, among others. All you need to do is connect to our web-based APIs. This flexibility empowers you to switch data providers effortlessly, ensuring you have the freedom to choose what works best for your needs. You will also benefit from comprehensive developer documentation, ensuring a smooth integration process. You only pay for what you utilize, allowing you to purchase credits and allocate them as needed for various services. The setup process is straightforward and user-friendly. Additionally, all functionality of DQ on Demand™ can be easily integrated into Excel, providing a familiar low-code no-code solution. Moreover, you can guarantee your data is accurately cleansed within MS Dynamics using our DQ PCF controls, further enhancing your data management capabilities. This combination of features ensures that your data quality remains top-notch while maintaining operational efficiency.

Description

Great Expectations serves as a collaborative and open standard aimed at enhancing data quality. This tool assists data teams in reducing pipeline challenges through effective data testing, comprehensive documentation, and insightful profiling. It is advisable to set it up within a virtual environment for optimal performance. For those unfamiliar with pip, virtual environments, notebooks, or git, exploring the Supporting resources could be beneficial. Numerous outstanding companies are currently leveraging Great Expectations in their operations. We encourage you to review some of our case studies that highlight how various organizations have integrated Great Expectations into their data infrastructure. Additionally, Great Expectations Cloud represents a fully managed Software as a Service (SaaS) solution, and we are currently welcoming new private alpha members for this innovative offering. These alpha members will have the exclusive opportunity to access new features ahead of others and provide valuable feedback that will shape the future development of the product. This engagement will ensure that the platform continues to evolve in alignment with user needs and expectations.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Acryl Data No 
Amazon Redshift No 
Amazon S3 No 
Apache Airflow No 
Apache Spark No 
Astro by Astronomer No 
Dagster No 
DataHub No 
Flyte No 
Flyte No 
Jupyter Notebook No 
Loqate Yes 
Microsoft Azure Yes 
Microsoft Excel Yes 
Microsoft Power Apps Yes 
PostgreSQL No 
Prefect No 
SQL Server No 
Secoda No 
Snowflake No 

Integrations

Acryl Data Yes 
Amazon Redshift Yes 
Amazon S3 Yes 
Apache Airflow Yes 
Apache Spark Yes 
Astro by Astronomer Yes 
Dagster Yes 
DataHub Yes 
Flyte Yes 
Flyte Yes 
Jupyter Notebook Yes 
Loqate No 
Microsoft Azure No 
Microsoft Excel No 
Microsoft Power Apps No 
PostgreSQL Yes 
Prefect Yes 
SQL Server Yes 
Secoda Yes 
Snowflake Yes 

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 Yes 

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

DQ Global

Founded

1997

Country

United Kingdom

Website

www.dqglobal.com/products/dq-on-demand/

Vendor Details

Company Name

Great Expectations

Website

greatexpectations.io

Product Features

Data Quality

Address Validation No 
Data Deduplication No 
Data Discovery No 
Data Profililng No 
Master Data Management No 
Match & Merge No 
Metadata Management No 

Product Features

Data Quality

Address Validation No 
Data Deduplication No 
Data Discovery No 
Data Profililng No 
Master Data Management No 
Match & Merge No 
Metadata Management No 

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