Average Ratings 0 Ratings
Average Ratings 124 Ratings
Description
The contemporary data workspace transforms the accessibility of your data assets, making everything from data tables to BI reports easily discoverable. With our robust search algorithms and user-friendly browsing experience, locating the right asset becomes effortless. Atlan simplifies the identification of poor-quality data through the automatic generation of data quality profiles. This includes features like variable type detection, frequency distribution analysis, missing value identification, and outlier detection, ensuring you have comprehensive support. By alleviating the challenges associated with governing and managing your data ecosystem, Atlan streamlines the entire process. Additionally, Atlan’s intelligent bots analyze SQL query history to automatically construct data lineage and identify PII data, enabling you to establish dynamic access policies and implement top-notch governance. Even those without technical expertise can easily perform queries across various data lakes, warehouses, and databases using our intuitive query builder that resembles Excel. Furthermore, seamless integrations with platforms such as Tableau and Jupyter enhance collaborative efforts around data, fostering a more connected analytical environment. Thus, Atlan not only simplifies data management but also empowers users to leverage data effectively in their decision-making processes.
Description
Plauti brings native data quality to Salesforce and Microsoft Dynamics 365 CE, giving teams the confidence to automate, report, and run AI on records they can actually trust. Nothing is exported to outside servers: everything runs inside your own CRM, and your admins keep full control without filing a single IT ticket.
Data quality with Plauti covers the whole record lifecycle:
Get a live view of data health across every object (table) and field, so the whole team works from one accurate picture
Bulk-clean existing duplicates, standardize formatting, and validate emails, phone numbers, and addresses
Stop bad records before they land, whether they come in through manual entry, imports, the API, or AI tools like Agentforce and Copilot
Put clean data to work right away: route it, distribute it downstream, and let AI act on records it can rely on
Because it's built directly on Salesforce and Dynamics 365 CE architecture, Plauti inherits your existing permissions and security setup. There's no separate login to manage, no delay syncing data between systems, and no compliance blind spots.
API Access
Has API
No
API Access
Has API
No
Integrations
Anomalo
Yes
Apigene
Yes
Colrows
Yes
Google Data Studio
Yes
MCPTotal
Yes
Microsoft Dynamics 365
No
Mindfuel
Yes
STRM
Yes
Salesforce
No
Integrations
Anomalo
No
Apigene
No
Colrows
No
Google Data Studio
No
MCPTotal
No
Microsoft Dynamics 365
Yes
Mindfuel
No
STRM
No
Salesforce
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
Yes
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
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Atlan
Founded
2018
Country
India
Website
atlan.com
Vendor Details
Company Name
Plauti
Founded
2011
Country
Netherlands
Website
www.plauti.com
Product Features
Big Data
Collaboration
Yes
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
Yes
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Data Discovery
Contextual Search
Yes
Data Classification
Yes
Data Matching
Yes
False Positives Reduction
No
Self Service Data Preparation
Yes
Sensitive Data Identification
Yes
Visual Analytics
No
Data Fabric
Data Access Management
No
Data Analytics
No
Data Collaboration
No
Data Lineage Tools
No
Data Networking / Connecting
No
Metadata Functionality
No
No Data Redundancy
No
Persistent Data Management
No
Data Governance
Access Control
Yes
Data Discovery
Yes
Data Mapping
Yes
Data Profiling
Yes
Deletion Management
No
Email Management
No
Policy Management
Yes
Process Management
No
Roles Management
Yes
Storage Management
No
Data Lineage
Database Change Impact Analysis
No
Filter Lineage Links
No
Implicit Connection Discovery
No
Lineage Object Filtering
No
Object Lineage Tracing
No
Point-in-Time Visibility
No
User/Client/Target Connection Visibility
No
Visual & Text Lineage View
No
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
Yes
Data Security
No
Information Governance
Yes
Master Data Management
Yes
Match & Merge
No
Data Quality
Address Validation
No
Data Deduplication
No
Data Discovery
Yes
Data Profililng
Yes
Master Data Management
Yes
Match & Merge
No
Metadata Management
Yes
ETL
Data Analysis
No
Data Filtering
No
Data Quality Control
Yes
Job Scheduling
Yes
Match & Merge
No
Metadata Management
Yes
Non-Relational Transformations
No
Version Control
Yes
Master Data Management
Data Governance
Yes
Data Masking
Yes
Data Source Integrations
Yes
Hierarchy Management
No
Match & Merge
No
Metadata Management
No
Multi-Domain
No
Process Management
No
Relationship Mapping
No
Visualization
No
PIM
Content Syndication
No
Data Modeling
No
Data Quality Control
Yes
Digital Asset Management
No
Documentation Management
Yes
Master Record Management
No
Version Control
Yes
Product Features
Customer Data Platforms (CDP)
Behavioral Analytics
No
Campaign Management
No
Customer Profiles
No
Customer Segmentation
No
Data Integration
No
Data Matching
No
GDPR Compliance
No
Personalization
No
Predictive Modeling
No
Data Management
Customer Data
Yes
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
Yes
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
Yes
Data Management Platforms (DMP)
Ad Network Integration
No
Analytics / ROI Tracking
No
Audience Targeting
No
Behavioral Analytics
No
CRM
Yes
Campaign Management
No
Competitive Analysis
No
Customer Journey Mapping
No
Data Capture / Transfer
No
Data Classification
No
Data Visualization
No
Data Preparation
Collaboration Tools
No
Data Access
No
Data Blending
No
Data Cleansing
Yes
Data Governance
No
Data Mashup
No
Data Modeling
No
Data Transformation
Yes
Machine Learning
No
Visual User Interface
No
Data Quality
Address Validation
Yes
Data Deduplication
Yes
Data Discovery
No
Data Profililng
No
Master Data Management
No
Match & Merge
Yes
Metadata Management
No
Email Verification
Bulk Email Verification
Yes
Catch-all Server Detection
No
Disposable Email Detection
No
Domain Check
No
Mail Server Validation
No
Single Email Verification
Yes
Spam Trap Detection
No
Syntax Check
No
Lead Management
Activity Tracking
No
Campaign Management
No
Lead Capture
No
Lead Distribution
Yes
Lead Nurturing
No
Lead Scoring
No
Lead Segmentation
No
Pipeline Management
No
Prospecting Tools
No
Source Tracking
No
Master Data Management
Data Governance
Yes
Data Masking
No
Data Source Integrations
No
Hierarchy Management
No
Match & Merge
Yes
Metadata Management
No
Multi-Domain
No
Process Management
No
Relationship Mapping
No
Visualization
No
