Secoda Features
Data Governance (3)
User Access Management
Allows administrators to assign role-based user access for specific data sets
Dynamic Data Masking
Hides and masks sensitive data automatically based on user permissions
Data Lineage
Provides historical insights into original data sources and transformations made to data sets
Data Preparation (2)
Search
Offers simple search capabilities to discover specific data sets
Data Quality and Cleansing
Allows users and administrators to easily clean data to maintain quality and integrity
Collaboration (4)
Commenting
Allows users to comment on data sets to help future users better interact and interpret the data
Profiling and Classification
Permits profiling of data sets for increased organization, both by users and machine learning
Business and Data Glossary
Creates a business glossary for faster understanding by the average business user
Metadata Management
Indexes metadata descriptions for easier searching and enhanced insights
Artificial Intelligence (3)
Machine Learning Recommendations
Automates recommendations for users based on machine learning functionality
Natural Language Query
Offers natural language querying functionality for non-technical users
Automatic Data Cleansing
Cleans data to improve quality via automation
Administration (3)
Recommendations
Analyzes data to find and recommend the highest value customer segmentations. 11 reviewers of Secoda have provided feedback on this feature.
Workflow Management
Tools to create and adjust workflows to ensure consistency.
Dashboards and Visualizations
Based on 10 Secoda reviews. Presents information and analytics in a digestible, intuitive, and visually appealing way.
Compliance (4)
Sensitive Data Compliance
As reported in 10 Secoda reviews. Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards.
Training and Guidelines
As reported in 11 Secoda reviews. Provides guidelines or training related to sensitive data compliance requirements,
Policy Enforcement
Based on 10 Secoda reviews. Allows administrators to set policies for security and data governance
Compliance Monitoring
Based on 10 Secoda reviews. Monitors data quality and send alerts based on violations or misuse
Data Quality (3)
Data Preparation
As reported in 10 Secoda reviews. Curates collected data for big data analytics solutions to analyze, manipulate, and model
Data Distribution
Facilitates the disseminating of collected big data throughout parallel computing clusters This feature was mentioned in 10 Secoda reviews.
Data Unification
As reported in 10 Secoda reviews. Compile data from across all systems so that users can view relevant information easily.
Functionality (31)
Monitoring
Monitors database functionality to verify baselines are maintained or exceeded.
Alerting
Sends alerts via email, text, phone, and more when an incident or issue occcurs.
Reporting
Manually and/or automatically generates reports covering database performance
Data Visualization
Follows database monitoring live information through graphical dashboards
Identification
Correctly identify inaccurate, incomplete, or duplicated data from a data source.
Correction
Utilize deletion, modification, appending, merging, or other methods to correct bad data.
Normalization
Standardize data formatting for uniformity and easier data usage.
Preventative Cleaning
Clean data as it enters the data source to prevent mixing bad data with cleaned data.
Data Matching
Finds duplicates using the fuzzy logic technology or an advance search feature.
Data visualisation
Creates a visual map of the data from the source to the target database for the user to see.
Data transformation
Transforms the data into the appropriate format before being transferred.
Data migration
Moves the data from one database to another.
Process various formats
The software can process numerous type of data and formats.
No-code functionality
The software can create the data map with no use of code. This is typically done via drag-and-drop.
Data manipulation
Allows the data to be merged or executed before being mapped and transformed.
Analytics
Offers built-in analytics functionality.
Reporting
Offers reporting functionality.
Structure type
Searches structured, semi-structured, and unstructured data for sensitive data.
Contextual search
Offers contextual search functions to understand factors such as file type, sensitivity, user type, location, and other metadata.
Template algorithms
Has template rules and pattern matching algorithms (PII, PCI, PHI and more)
Custom algorithms
Offers the option to create custom templates and rules based on department, user type and data type.
Multiple file and location types
Search multiple file types (images, PDFs, etc.) and repository locations (such as on-premise databases, cloud storage, email servers, websites, etc.)
Real-time monitoring
Monitors data stores in real-time searching for newly created sensitive data.
Dashboard
Offers a dashboard showing specific location of sensitive data.
Compliance
Facilitates compliance and enables adherence to common industry regulatory standards such as GDPR, CCPA, HIPAA, PCI DSS, ISO, and others.
Reporting
Offers reporting functionality.
Version control
Tracks and manages database changes, allowing users to collaborate on and change the same files without compromising the overall build by introducing conflicting code.
Real-time Analytics
Generate real-time depth analytics utilizing event metrics, logging and metadata.
Data quality monitoring
Use custom or pre-built tests for buisness rules. to ensure data quality.
Automation
Involves automation capabilities to identify and track issues, failed operations by looking at historical trends.
End to End visiblity
Complete visibility of the data pipeline, and immediately notifies the data team if any issues. Ensures cross stack visbility.
Management (16)
Reporting
Provide follow-up information after data cleanings through a visual dashboard or reports.
Automation
Automatically run data identification, correction, and normalization on data sources.
Quality Audits
Schedule automated audits to identify data anomalies over time based on set business rules.
Dashboard
Gives a view of the entire data quality management ecosystem.
Governance
Allows user role-based access and actions to authorization for specific tasks.
Business Glossary
Based on 11 Secoda reviews. Lets users build a glossary of business terms, vocabulary and definitions across multiple tools.
Data Discovery
Based on 11 Secoda reviews. Provides a built-in integrated data catalog that allows users to easily locate data across multiple sources.
Data Profililng
Monitors and cleanses data with the help of business rules and analytical algorithms. 11 reviewers of Secoda have provided feedback on this feature.
Reporting and Visualization
Visualize data flows and lineage that demonstrates compliance with reports and dashboards through a single console. This feature was mentioned in 10 Secoda reviews.
Data Lineage
As reported in 11 Secoda reviews. Provides an automated data lineage functionality which provides visibility over the entire data movement journey from data origination to destination.
Visibility
Provides administrators with detailed insight into changes made by database developers.
Anomaly identification
Identify the different type of anomalies and receive alerts.
Single pane view
The data observability environment can be viewed from a single dashboard.
Real-time alerts
Provides immediate alerts for any anomalies or expected events.
Data lineage
Establishes lineage for the data pipeline - from data warehouse to the data user.
Integrations
Support integrations with various business applications which support different data processes. Also, integrate with apps to provide alerts.
Data Management (8)
Data Integration
Consolidate data from various disparate sources in a single unified view
Data Discovery
Understand the state of data, applications, systems and services
Multi - Platform
Manage data across environments (on-premises cloud, hybrid, and multi-cloud)
Metadata
Provides metadata management and lineage capabilities
Data Integration
Integrates data and data-related technologies into a single environment.
Metadata
Provides metadata management capabilities.
Self-service
Empowers the user via a self-service capability to manage data workflows.
Automated workflows
Completely automates end-to-end data workflows across the data integration lifecycle.
Analytics (3)
Data Analytics
Supports advanced analytics solutions for better business decision making
Analytics capabilities
Provides a high performance, flexibile analytics platform to support data management and embrace data driven decision making.
Dasboard visualizations
Collect and displays metrics across the data integration via a dashboard.
Security (6)
Compliance
Rules and regulations inherited from source systems or defined to secure sensitive data
Governance
Grant or restrict data access and control
Data Protection
Built - In Backup and Disaster Recovery
Access Control
Authenticates and authorizes individuals to access the data they are allowed to see and use. This feature was mentioned in 11 Secoda reviews.
Roles Management
As reported in 11 Secoda reviews. Helps identify and manage the roles of owners and stewards of data.
Compliance Management
Helps adhere to data privacy regulations and norms. This feature was mentioned in 10 Secoda reviews.
Responses (3)
Personalization
Provides personalized responses to interlocator based on segmentation or past responses.
Route To Human
Has tools (e.g. dashboards and reports) to better understand conversations Intelligent Virtual Assistants have had.
Natural Language Understanding (NLU)
Can have a natural, human-like conversation with an interlocator.
Platform (3)
Conversation Editor
Allows business to edit conversations to meet the unique needs of one's business.
Integration
Gives users the ability to update systems, like CRM, based on conversations.
Human-In-The-Loop
Allows users to maintain and observe the accuracy and viability of Intelligent Virtual Assistants.
Maintainence (2)
Data Quality Management
Based on 10 Secoda reviews. Defines, validates, and monitors business rules to safeguard master data readiness.
Policy Management
Allows users to create and review data policies to make them consistent across the organization. This feature was mentioned in 10 Secoda reviews.
Monitoring and Management (1)
Data Observability
Involved solely in monitoring data pipelines, sending alerts and troubleshooting data.
Cloud Deployment (2)
Hybrid cloud support
Supports analytical platforms and data pipelines across complex hybrid environments.
Cloud migration capabilities
Supports migration of component or pipeline to different cloud environments.
Data management (5)
Metadata Management
Indexes metadata descriptions for enhanced insights. This feature was mentioned in 10 Secoda reviews.
Automation Features
Based on 11 Secoda reviews. Ensures automation of metadata across the organization. Dynamically improves data management processes.
Collaboration
Embedded collaboration using APIs and in-app integrations. This feature was mentioned in 10 Secoda reviews.
Data Lineage
Provides insights into original data sources and transformations made to data sets from source to consumption of data. This feature was mentioned in 10 Secoda reviews.
Data Discovery
Based on 11 Secoda reviews. Provides an interface to collect and evaluate data to identfy patterns and outliers.
Reporting (3)
Intelligent Insights
Constantly processes metadata to provide intelligent insights.
Actionable Insights
As reported in 10 Secoda reviews. Provides actionable insights, and generates notifications and alerts to help teams make informed decisions.
Dashboards
Based on 10 Secoda reviews. Supports 360 degree data visibility via a single dashboard.
Generative AI (15)
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
Automation - AI Agents (5)
Sales Follow-Up
Allows users to automate responses to customer inquiries across various channels.
Customer Interaction Automation
Allows users to automate responses to customer inquiries across various channels.
Lead Generation
Allows users to automate the process of generating and qualifying sales leads.
Document Processing
Allows users to automate the handling, processing, and management of documents.
Feedback Collection
Provides users the ability to automate the collection and analysis of feedback from customers, employees, or other stakeholders.
Autonomy - AI Agents (4)
Independent Decision Making
Allows the AI agent to learn from interactions and adapt its responses accordingly.
Adaptive Responses
Allows the AI agent to learn from interactions and adapt its responses accordingly.
Task Execution
Provides the AI agent the ability to execute tasks without requiring constant user input.
Problem Solving
Allows the AI agent to identify and resolve issues without user intervention.
Agentic AI - Sensitive Data Discovery (4)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Agentic AI - Machine Learning Data Catalog (2)
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Agentic AI - Data Governance (6)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Data Fabric (5)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - DataOps Platforms (5)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Data Observability (5)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Agentic AI - Database Monitoring (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives





