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Description
Antares serves as a powerful migration solution tailored for enterprise BI and analytics teams, facilitating seamless transitions between different BI environments. It initiates the process by linking to the existing BI setup, conducting an automatic analysis, and transforming dashboards for deployment in the new platform.
The Analyzer component is offered at no cost and operates entirely on deterministic principles: it catalogs the current environment, highlights potential migration risks, and assesses the effort needed for each dashboard. This process allows teams to effectively plan their migration by identifying and excluding unused or orphaned dashboards before incurring any costs related to the migration. Following this, the Converter component automates the dashboard reconstruction, utilizing established mapping tables to ensure that visual types, aggregations, and calculations remain consistent throughout the process, rather than relying on ad hoc methods. In cases where the migration involves semantically intricate scenarios, AI is employed within a framework of deterministic validation.
Currently, Antares supports migrations from Tableau to Power BI, including deployment to Microsoft Fabric, as well as from Tableau to Databricks AI/BI.
The pricing structure is straightforward, charging a flat fee of $200 for each migrated dashboard, with no additional costs for user licenses or time constraints. Furthermore, the expenses associated with LLM usage are separate and generally amount to less than $20 per dashboard, making it an economical choice for organizations looking to streamline their BI migrations.
Description
DQV is the comprehensive data quality and testing platform developed by Kumaran Systems, catering to teams engaged in the movement, masking, or validation of substantial data volumes. This tool meticulously evaluates source and target datasets on a field-by-field basis, identifies discrepancies, and produces mismatch reports, eliminating the need for manual checks using spreadsheets.
The platform encompasses five key functionalities: it performs field-level comparisons while detecting drift, facilitates migration mapping between different schemas, offers deterministic PII masking, conducts record- and table-level validation with the ability for on-the-fly corrections, and generates synthetic data for teams lacking access to production data for testing.
DQV is compatible with a wide range of data sources, including SQL Server, Oracle, MySQL, PostgreSQL, AWS, Azure, GCP, flat files, JSON, XML, and REST APIs, and it seamlessly integrates with tools like Informatica, Databricks, and CI/CD pipelines, or can operate independently as a library or CLI tool.
In real-world applications, DQV has successfully validated an impressive 26.6 million bank records in less than 22 minutes, showcasing its efficiency and speed. Additionally, a free trial is offered, along with various licensing options, including individual, enterprise, and on-premises plans, ensuring flexibility for different organizational needs. This versatile solution not only enhances data integrity but also streamlines the testing process across multiple platforms.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Screenshots View All
No images available
Integrations
Microsoft Power BI
No
Tableau
No
Pricing Details
$200 per migrated dashboard
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
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
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Dark Lake, LLC
Country
United States
Website
getantares.io
Vendor Details
Company Name
Kumaran Systems
Founded
1992
Country
United States
Website
kumaran.com/products/dqv/
Product Features
Business Intelligence
Ad Hoc Reports
No
Benchmarking
No
Budgeting & Forecasting
No
Dashboard
No
Data Analysis
No
Key Performance Indicators
No
Natural Language Generation (NLG)
No
Performance Metrics
No
Predictive Analytics
No
Profitability Analysis
No
Strategic Planning
No
Trend / Problem Indicators
No
Visual Analytics
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