Overview
The continued push in enterprises for data democratization, AI and ML usage and self-service BI is hampered by the lack of confidence in the quality of data. Data quality is the top data integrity challenge faced by most companies. The Data Sentinel tool securely ingests your enterprise data without copying it and can be deployed as a standalone solution or be integrated with your existing data pipelines. Data Sentinel supports ingestion of data from Redshift, Snowflake, Databricks, SQL databases, AWS S3 and Azure blob storages, thus enabling an end to end view of the enterprise and business unit data. Various roles like Data Steward, Business Owner / Data Leader and administrator can be configured, with each role having their own relevant views of the enterprise data quality. This tool also designed to convert raw data into a structured and meaningful format suitable for analysis or integration with other systems. It can perform operations such as cleaning, filtering, aggregating, normalizing, or reshaping datasets to meet specific business requirements. Overall, the Data Sentinel tool allows you to get an enterprise view of your data quality, achieve faster time to insights, provides you with unmatched flexibility, get accurate insights into data issues and reduce your business and IT costs.
Highlights
- The tool substantially reduces the overall effort, time & cost in an enterprise's data quality process. Simply 1. Connect your datasets (S3, Azure Blob, SQL Databases, Redshift, Snowflake, Databricks) 2. Select from the ready to use list of prebuilt data quality rules or import your own rules 3. Run the tool and view the DQ score dashboards 4. Take corrective action to improve data quality using data transformation rules 5. Use cleaned and transformed data for ML and analytical use cases
- Fully automated for maximum accuracy. Connect your SQL datasets, Redshift, Snowflake, Databricks, S3 and Azure Blob files (CSV, JSON, Parquet) & run the tool.
- Current release also has support for data cleaning and transformation for various supported data sources.
Details
Typical total price
$0.166/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.large | $0.00 | $0.093 | $0.093 |
t2.xlarge | $0.00 | $0.186 | $0.186 |
t3.large | $0.00 | $0.083 | $0.083 |
t3.xlarge Recommended | $0.00 | $0.166 | $0.166 |
t3a.xlarge | $0.00 | $0.15 | $0.15 |
m1.xlarge | $0.00 | $0.35 | $0.35 |
m3.xlarge | $0.00 | $0.266 | $0.266 |
m4.xlarge | $0.00 | $0.20 | $0.20 |
m5.xlarge | $0.00 | $0.192 | $0.192 |
m5a.xlarge | $0.00 | $0.172 | $0.172 |
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
Free Trail version so no refund required.
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
This version of Data Sentineal tool helps in getting data quality score for various supported data sets like CSV, Parquet, JSON files and SQL databases (MySQL, MSSQL, PostgreSQL, Redshift and Snowflake). It also has built in Data transformation engine which helps in cleaning and preprocessing data for downstream applications and systesms.
Additional details
Usage instructions
To deploy DQ from AWS marketplace use following URL: https://dq-marketplace-files.s3.amazonaws.com/docs/Data_Sentinel_1.0.0_deployment_using_ami.pdf To setup DQ use following URL: https://dq-marketplace-files.s3.amazonaws.com/docs/Data_Sentinel_1.0.0_setup_guide_AWS.pdf
Resources
Vendor resources
Support
Vendor support
This is Trial version and will expire after 45 days of application usage after the registration. Contact Prescience at info@prescienceds.com for further details on the Data Sentinel tool. For any technical support requirements, you can also reach out to us at info@prescienceds.com .
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Great user interface and simple to understand
I have been using this product since 2 month and the experience was really good. Great user interface and very easy to understand how it works.
Key Features of Data Sentinel
Robust Data Quality Checks:
Identifies anomalies, inconsistencies, and missing data efficiently.
Flexible Data Transformation:
Supports a wide range of data transformation options, from simple restructuring to complex operations.
Powerful yet straightforward, enabling even intricate processes to be implemented with ease.
Seamless Integration:
Integrates effortlessly with existing data sources.
Supports various file formats and APIs, making it versatile for diverse projects.
User-Friendly Interface:
Features a clean and intuitive design.
Includes drag-and-drop functionality and guided workflows, making it accessible for team members with limited technical skills.