[ Teradat... Reviews ](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) [ Teradat... Reviews ](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) # Teradata Autonomous Knowledge Platform Features ##### ## Reports (5) Reports Interface Reports interface for standard and self-service reports is intuitive and easy to use. Steps to Answer Requires a minimal number of steps/clicks to answer business question. Graphs and Charts Offers a variety of attractive graph and chart formats. Score Cards Score cards visually track KPI's. Dashboards Provides business users an interface to easily design, refine and collaborate on their dashboards Show More ##### ## Self Service (6) Calculated Fields Using formulas based on existing data elements, users can create and calculate new field values. Data Column Filtering Business users have the ability to filter data in a report based on predefined or automodeled parameters. Data Discovery Users can drill down and explore data to discover new insights. Search Ability to search global data set to find and discover data. Collaboration / Workflow Ability for users to share data and reports they have built within the BI tool and outside the tool through other collaboration platforms. Automodeling Tool automatically suggests data types, schemas and hierarchies. Show More ##### ## Advanced Analytics (3) Predictive Analytics Analyze current and historical trends to make predictions about future events. Data Visualization Communicate complex information clearly and effectively through advanced graphical techniques. Big Data Services Ability to handle large, complex, and/or siloed data sets. Show More ##### ## Building Reports (4) Data Transformation Converts data formats of source data into the format required for the reporting system without mistakes. Data Modeling Ability to (re)structure data in a manner that allows extracting insights fast and accurate. WYSIWYG Report Design Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get) Integration APIs Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc with other software applications. Show More ##### ## Database Features (7) Storage Availability Stability Scalability Security Data Manipulation Query Language Show More ##### ## Model Development (5) Language Support Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript Drag and Drop Offers the ability for developers to drag and drop pieces of code or algorithms when building models Pre-Built Algorithms Provides users with pre-built algorithms for simpler model development Model Training Supplies large data sets for training individual models Feature Engineering Transforms raw data into features that better represent the underlying problem to the predictive models Show More ##### ## Machine/Deep Learning Services (6) Computer Vision Offers image recognition services Natural Language Processing Offers natural language processing services Natural Language Generation Offers natural language generation services Artificial Neural Networks Offers artificial neural networks for users Natural Language Understanding Offers natural language understanding services Deep Learning Provides deep learning capabilities Show More ##### ## Deployment (5) Managed Service Manages the intelligent application for the user, reducing the need of infrastructure Application Allows users to insert machine learning into operating applications Scalability Provides easily scaled machine learning applications and infrastructure On-Premise Provides On-Premise deployment options. Cloud Provides Cloud deployment options (private or public cloud, hybrid cloud). Show More ##### ## Database (3) Real-Time Data Collection Collects, stores, and organizes massive, unstructured data in real time Data Distribution Facilitates the disseminating of collected big data throughout parallel computing clusters Data Lake Creates a repository to collect and store raw data from sensors, devices, machines, files, etc. Show More ##### ## Integrations (2) Hadoop Integration Aligns processing and distribution workflows on top of Apache Hadoop Spark Integration Aligns processing and distribution workflows on top of Apache Hadoop Show More ##### ## Platform (3) Machine Scaling Facilitates solution to run on and scale to a large number of machines and systems Data Preparation Curates collected data for big data analytics solutions to analyze, manipulate, and model Spark Integration Aligns processing and distribution workflows on top of Apache Hadoop Show More ##### ## Processing (2) Cloud Processing Moves big data collection and processing to the cloud Workload Processing Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems Show More ##### ## Data Transformation (2) Real-Time Analytics Facilitates analysis of high-volume, real-time data. Data Querying Allows user to query data through query languages like SQL. Show More ##### ## Connectivity (4) Hadoop Integration Aligns processing and distribution workflows on top of Apache Hadoop Spark Integration Aligns processing and distribution workflows on top of Apache Spark Multi-Source Analysis Integrates data from multiple external databases. Data Lake Facilitates the dissemination of collected big data throughout parallel computing clusters. Show More ##### ## Operations (5) Data Visualization Processes data and represents interpretations in a variety of graphic formats. Data Workflow Strings together specific functions and datasets to automate analytics iterations. Governed Discovery Isolates certain datasets and facilitates management of data access. Embedded Analytics Allows big data tool to run and record data within external applications. Notebooks Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations Show More ##### ## Administration (4) Data Modelling Tools to (re)structure data in a manner that allows extracting insights quickly and accurately Recommendations Analyzes data to find and recommend the highest value customer segmentations. Workflow Management Tools to create and adjust workflows to ensure consistency. Dashboards and Visualizations Presents information and analytics in a digestible, intuitive, and visually appealing way. Show More ##### ## Compliance (4) Sensitive Data Compliance Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards. Training and Guidelines Provides guidelines or training related to sensitive data compliance requirements, Policy Enforcement Allows administrators to set policies for security and data governance Compliance Monitoring Monitors data quality and send alerts based on violations or misuse Show More ##### ## Data Quality (3) Data Preparation 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 Data Unification Compile data from across all systems so that users can view relevant information easily. Show More ##### ## System (1) Data Ingestion & Wrangling Gives user ability to import a variety of data sources for immediate use Show More ##### ## Data Preparation (2) Connectors Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications. Data Governance Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data Show More ##### ## Data Modeling and Blending (3) Data Querying Using formulas based on existing data elements, users can create and calculate new field values Data Filtering Business users have the ability to filter data in a report based on predefined or automodeled parameters. Data Blending Allows the user to combine data from multiple sources into a functioning dataset. Show More ##### ## Platform Basics (2) Dynamic Segmentation Provides users the ability to dynamically segment their users based on varying criteria (i.e. email opens, product features, etc.). Journey Optimization Automates the testing and optimization of customer-facing messaging and campaigns. Show More ##### ## Platform Data (4) Journey Reporting Ability to uncover and visualize how users move through your website, marketing campaigns, and product(s). Trends Reporting Ability to measure product usage by feature, campaign performance by source, and other trending metrics. Dashboards Provides dashboards to combine and visualize quantitative and qualitive customer journey data. Advanced Data Filtering Provides advanced data filtering capabilities to help users drill down, sort, filter, aggregate, and group customer journey data. Show More ##### ## Platform Additional Functionality (3) Journey Mapping Ability to create visualizations or maps of past, current, or future customer journeys based on behavioral data. Integrations Integrates with additional marketing analytics and other marketing, sales, and e-commerce-related software to provide one source of truth for customer journey analytics. Automated Alerts Provides the ability to setup automated alerts to drive targeted actions and customer experience improvements. Show More ##### ## Data Management (6) Data Integration Consolidates, Cleanses and Normalizes data from multiple disparate sources. Data Compression Helps save storage capacity and improves query performance. Data Quality Eliminates data inconsistency and duplications ensuring data integrity. Built-In Data Analytics SQL based analytics functions like Time series, pattern matching, geospatial analytics etc. In-Database Machine Learning Provides built in capabilities like machine learning algorithms, data preparation functions, model evaluation and management etc. Data Lake Analytics Allows data querying across data formats like parquet, ORC, JSON etc and analyze complex data types on HDFS Show More ##### ## Integration (3) AI/ ML Integration Integrates with data science workflows, Machine Learning and artificial intelligence (AI) capabilities. BI Tool Integration Integrates with BI Tools to transform data into Actionable Insights. Data lake Integration Provides speed in data processing and capturing unstructured, semi-structured and streaming data. Show More ##### ## Performance (6) Scalability Manages huge volumes of data, upscale or downscale as per demand. Disaster Recovery Provides data recovery functionality to protect and restore data in a database. Data Concurrency Allows multi-version concurrency control. Workload Management Handles workloads, from single machines to data warehouses or web services with many concurrent users. Advanced Indexing Allows users to quickly retrieve data through various types of indexing like B-tree, hash table etc. Query Optimizer Helps interpret SQL queries and determine the fastest method of execution. Show More ##### ## Maintenance (3) Data Migration Allows data movement from one database to another. Backup and Recovery Provides data backup and recovery functionality to protect and restore a database. Multi-User Environment Allows users to access and work on data concurrently, supporting several views of the data. Show More ##### ## Management (10) Data dictionary Stores the database metadata, that is the definitions of data elements, types, relationships etc. Data Replication Creates a copy of the database to maintain consistency and integrity. Query Language Allows users to create, update and retrieve data in a database. Data Modeling Defines the logical design of the data before building the schemas. Performance Analysis Monitors and analyzes critical database attributes like query performance, user sessions, dead lock detail, system errors etc and visualize them on a custom dashboard. Business Glossary Lets users build a glossary of business terms, vocabulary and definitions across multiple tools. Data Discovery 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. Reporting and Visualization Visualize data flows and lineage that demonstrates compliance with reports and dashboards through a single console. Data Lineage Provides an automated data lineage functionality which provides visibility over the entire data movement journey from data origination to destination. Show More ##### ## Security (11) Data Encryption Encrypts and transforms data at the database from a readable state into a ciphertext of unreadable characters. User Access Control Allows restricted user acess to modify depending on the access level. Database Locking Prevents other users and applications from accessing data while it is being updated to avoid data loss or update. Access Control Allows permissions to be granted or revoked in the database, schema or table levels. Encryption Built-in native encryption with enterprise key management. Authentication Provides multi-factor authentication with certificates. Data Governance Policies, procedures and standards to manage and access data. Data Security Restricts data access at a cell level, mask or hide parts of cells, and encrypt data at rest and in motion Access Control Authenticates and authorizes individuals to access the data they are allowed to see and use. Roles Management Helps identify and manage the roles of owners and stewards of data. Compliance Management Helps adhere to data privacy regulations and norms. Show More ##### ## Support (4) Text Search Provides support for international character sets and full text search. Data Types Supports multiple data types like primitive, structured, document etc. Languages Supports multiple procedural programming languages like PL/PGSQL, Perl, Python etc. Operating Systems Available on multiple operating systems like Linux, Windows, MacOS etc. Show More ##### ## Management (4) Data Schema Data is organized as a set of tables with columns and rows like a table structure. Query Language Allows users to create, update and retrieve data in a database. ACID - Complaint Adheres to ACID (atomicity, consistency, isolation, durability), a set of database transaction properties. Data Replication Provides log-based or/and trigger-based replication. Show More ##### ## Maintainence (2) Data Quality Management 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. Show More ##### ## Generative AI (9) 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-to-Image Provides the ability to generate images from 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. Show More ##### ## Agentic AI - Customer Journey Analytics (4) Autonomous Task Execution Capability to perform complex tasks without constant human input Cross-system Integration Works across multiple software systems or databases Adaptive Learning Improves performance based on feedback and experience Proactive Assistance Anticipates needs and offers suggestions without prompting Show More ##### ## 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 Show More ##### ## Agentic AI - Analytics Platforms (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 Show More ##### ## Agentic AI - Data Science and Machine Learning Platforms (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 Show More ##### ## Deployment & Integration - Analytics Platforms (4) No-code Dashboard Builder Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces Report Scheduling and Automation Enables automated report generation and scheduled delivery to stakeholders Embedded Analytics and White-labeling Allows dashboards and analytics to be embedded into external apps with branding flexibility Data Source Connectivity Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications Show More ##### ## Performance & Scalability - Analytics Platforms (2) Large data handling and Query Speed Efficiently processes large datasets with minimal lag and ensures high performance under load Concurrent User Support Maintains performance and uptime during high traffic from multiple users or teams Show More ##### ## Advanced Analytics & Modeling - Analytics Platforms (3) Data Modeling and Governance Supports semantic data layers, role-based access controls, and metadata governance Notebook and Script Integration Integrates with Jupyter, Python, or R for custom analytics and modeling Built-in Predictive and Statistical Models Provides native tools for statistical analysis, forecasting, and trend prediction Show More ##### ## Agentic AI Capabilities - Analytics Platforms (4) Auto-generated Insights and Narratives Uses AI to generate textual summaries, key takeaways, and data stories from dashboards Natural Language Queries Allows users to query data and build reports using conversational or plain language Proactive KPI Monitoring and Alerts Detects and notifies users about KPI anomalies or significant metric changes in real time AI Agents for Analytical Follow-ups Recommends next questions, analyses, or exploration paths using autonomous AI agents Show More ##### ## Personalized Intelligence - Analytics Platforms (3) Behavioral Learning for Contextual Query Refinement Learns from historical user interactions to improve and personalize query results over time Role-based Insight Personalization Tailors dashboard views and suggestions based on user roles, access levels, and past behavior Conversational and Prompt-based Analytics Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying Show More ## Top-Rated Alternatives [ ![Databricks](https://images.g2crowd.com/uploads/product/hd_favicon/135d1c9e39e19ef56dc8d0bf90fce20f/databricks.svg "Databricks") Databricks 4.6/5(1,354) ](https://www.g2.com/products/databricks/reviews) [ ![Cloudera](https://images.g2crowd.com/uploads/product/hd_favicon/dcfb9e6879febb34cef773ddde921835/cloudera.svg "Cloudera") Cloudera 4.1/5(136) ](https://www.g2.com/products/cloudera/reviews) [ ![Snowflake](https://images.g2crowd.com/uploads/product/hd_favicon/1544409170/snowflake.svg "Snowflake") Snowflake 4.5/5(761) ](https://www.g2.com/products/snowflake/reviews) [ View All Alternatives ](https://www.g2.com/products/teradata-autonomous-knowledge-platform/competitors/alternatives) ## Technology Glossary Features View full feature definition View definitions of the features and discover new technology terms. [View Glossary](/glossary) [Data Manipulation](/glossary/data-manipulation-definition) Data manipulation is the process of organizing, modifying, and transforming data to improve accuracy, usability, and analysis across systems and workflows. [Data Modeling](/glossary/data-modeling-definition) Data modeling is the process of creating visual representations of information systems to better communicate the connections between data points and structures. Learn more about data modeling in this G2 guide. 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