Prescience Data Sentinel is an AI powered data quality and transformation tool that provides data profiling, data quality assessment, and automated data quality scores and reports. It includes prebuilt data quality and data transformation rules to help identify, validate, clean, and transform data for downstream applications and systems.
Prescience Data Sentinel is a data quality and transformation platform designed to help organizations assess, validate, clean, and transform enterprise data. It provides data profiling, prebuilt data quality and transformation rules, automated data quality scores, and detailed reports to help identify issues such as missing, duplicate, invalid, or inconsistent data.
Data Sentinel supports data sources including PostgreSQL, MySQL, MS SQL, Redshift, Snowflake, Databricks, AWS S3, and Azure Blob Storage. It can be deployed as a standalone solution or integrated with existing data pipelines. The platform supports role based access for administrators and data stewards, along with manual and scheduled data quality and transformation jobs.
Overall, Data Sentinel provides a structured and repeatable approach to improving data quality, transforming data for downstream applications, and gaining better visibility into data issues for more reliable analytics and decision making.
Highlights
Assess and monitor enterprise data quality with data profiling, prebuilt data quality rules, automated quality scores, and detailed reports to identify missing, duplicate, invalid, or inconsistent data.
Clean and transform data using prebuilt data transformation rules and reusable rule suites, helping prepare reliable and structured data for downstream applications and analytics.
Connect to multiple enterprise data sources including PostgreSQL, MySQL, MS SQL, Redshift, Snowflake, Databricks, AWS S3, and Azure Blob Storage, with support for manual and scheduled data quality and transformation jobs.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Data Sentinel uses free software pricing. You pay no license fee for the product itself. The 17 dimensions listed are all Amazon EC2 instance types, billed hourly. Each option maps to a different EC2 instance size or family, covering general-purpose (m-series), burstable (t-series), compute-optimized (c-series), and inference (inf2) hardware. You choose the instance that fits your workload and infrastructure needs. Because the software is free, your only cost is the hourly rate for the underlying compute you select. Pricing scales with the instance type you run, not with data volume or users.
Top-of-mind questions for buyers
What do I get for each hourly rate listed, and what does the software itself cost?
Each dimension maps to one Amazon EC2 instance type of a specific size and hardware family. The software carries no license fee. Your hourly charge covers only the underlying EC2 compute you run. Larger or specialized instances have different hourly rates than smaller general-purpose ones.
Am I charged when my instance is stopped or paused?
Since the software is free, no license fee accrues at any time. Hourly charges reflect the EC2 instance itself and apply while it runs. A stopped instance stops accruing compute charges, though attached AWS storage may still incur fees. You pay only for running time.
Does my cost change with data volume, number of users, or the amount of data I process?
No. Pricing depends only on the EC2 instance type you select and the hours it runs. Data Sentinel processes data in its original location without moving or copying it. Whether you scan a little data or a lot, your cost stays tied to the chosen instance and its runtime.
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Free Trail version so no refund required.
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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
In this release IBM Cloud object storage support has been added. Now Data Sentinel supports SQL databases (MySQL, MSSQL, PostgreSQL) data warehouses like Redshift, Databricks and Snowflake and cloud object storages like S3, Azure Blob and IBM COS.
It also has built in Data transformation engine which helps in cleaning and preprocessing data for downstream applications and systems.
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.
In late 2023, Broadcom officially acquired VMware. This has resulted in a significant overhaul of VMware’s product portfolio and pricing, which has understandably left many customers concerned about the future of their Data Center Virtualization investments in EC2
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.