Product Listings
Ab Initio is a data processing software designed to support complex data integration, transformation, and analysis tasks. The software provides a graphical environment for designing data workflows and enables users to process large volumes of structured and unstructured data. Ab Initio offers features for data extraction, cleansing, validation, and loading across multiple heterogeneous sources. The software supports parallel processing and scalability to address enterprise data integration needs, and it enables automation of repetitive tasks and monitoring of data pipelines. Ab Initio is used to solve business problems related to data movement, quality, and analytics, supporting both batch and real-time processing requirements.
The Alation Data Intelligence Platform is an enterprise-grade, agentic data intelligence and governance platform that powers people and AI agents with trusted data and knowledge to deliver measurable business outcomes. Alation differentiates through active metadata and agentic capabilities, combining behavioral signals, lineage, governance context, data quality and AI-powered agents to surface risk, automate governance actions, flag data quality issues and support governed data products. By embedding trusted data knowledge directly into analytics tools, workflows, and AI-driven processes, Alation enables organizations to operationalize data and AI with confidence at scale.
Informatica Intelligent Data Management Cloud is a software designed to facilitate data integration, management, and analytics across various cloud and on-premises environments. The software provides capabilities for automating data pipelines, cleansing, cataloging, and transforming data to support improved data quality and governance. It enables organizations to connect and unify disparate data sources, manage data workloads, and ensure data availability for analytics and reporting. The software addresses business challenges related to data fragmentation, complexity in multi-cloud environments, and regulatory compliance by providing centralized control and monitoring functionalities, helping businesses leverage their data for operational and strategic decision-making.
Atlan is a software designed to streamline data collaboration and governance within organizations by providing a unified workspace for data teams. The software offers features such as automated metadata cataloging, data discovery, and lineage tracking to help users manage and understand their data assets. It supports integrations with various data sources and tools, enabling teams to connect, document, and organize data from diverse environments. Atlan enables policy enforcement, access controls, and compliance workflows to support governance requirements. By centralizing data asset management, the software addresses challenges related to fragmented data ecosystems, improving visibility, accessibility, and trust in organizational data.
Collibra frees your data from the constraints of silos by unifying data and AI governance across your entire ecosystem, regardless of source or compute engine, for ultimate flexibility in how you manage data. Our Collibra Platform gives you automated visibility, control and tracing from input through output, and it automates documentation and data traceability for AI use cases to power speed, data observability and safety. Our enterprise metadata graph enriches data context with every use, and our intuitive UX brings technical and business users into the fold to access and steward data.
Accelerate and strengthen every data and AI use case when everyone in your organization can trust, comply and consume.
DataGalaxy provides a modular approach to enterprise data governance, covering the full lifecycle from strategic planning to operational implementation.
The platform includes dedicated modules for managing business objectives, documenting data and AI products, defining governance rules and policies, and monitoring compliance over time.
Users can structure initiatives, track ownership, and ensure traceability between data assets and business impact.
The platform also supports automated enrichment and multilingual capabilities to streamline documentation.
DataGalaxy helps organizations move beyond static governance by enabling collaboration, transparency, and measurable outcomes across domains and teams, without adding complexity to day-to-day operations.
Microsoft Purview Data Governance is a software that assists organizations in managing, cataloging, and governing data across various sources. It provides capabilities for data discovery, classification, and mapping, enabling users to create a comprehensive inventory of data assets. The software facilitates policy management, access controls, and lineage tracking to help ensure data compliance and security. By centralizing metadata and enabling automated data classification, the software aims to support data transparency and help organizations address regulatory and privacy requirements while improving data access and quality for analytics and business operations.
Google BigQuery is a cloud-based data warehouse software that enables users to store, analyze, and manage large datasets using SQL. The software supports fast querying and real-time analysis of structured and semi-structured data across scalable infrastructure. It integrates with various data analytics and business intelligence tools, offers built-in machine learning capabilities, and features automated performance optimization. BigQuery enables businesses to process and analyze large volumes of data to support decision making, data reporting, and predictive analytics. The software addresses challenges related to handling and processing extensive datasets within organizations without the need for traditional on-premises infrastructure.
Dataedo is a software designed for data cataloging and metadata management that helps organizations document, understand, and govern their data assets. The software enables users to create comprehensive data dictionaries and interactive ER diagrams, facilitating visibility into databases, data warehouses, and business intelligence environments. Dataedo provides features for tracking data lineage, managing data documentation, and sharing insights with stakeholders, supporting compliance, data governance, and collaboration across teams. By offering searchable catalogs and collaborative documentation tools, the software addresses challenges related to data discovery, transparency, and knowledge transfer within enterprises, aiding efficient management and use of data resources.
Solidatus data lineage helps the world’s most complex organizations understand and truly trust the data at the foundation of their business decisions, governance, transformation projects, AI, and more - by helping them discover, assess and prove the complete journey of their data from its source, through multiple systems, to finish. This is done through a visual map of data’s journey and transformations through all systems in an organization. From a complete view through all systems, to drilling deep into a column in a table, for root cause and impact analysis. This helps businesses be proactive, not reactive, in trusting business data. To prove to regulators they're compliant, to the board, customers, and shareholders that decisions and information in annual reports are founded on correct information, that data products are high quality, and that the source of AI initiatives is trusted, transparent data.
Oracle Data Relationship Management software enables organizations to manage and govern hierarchical data and relationships across various business systems. The software is designed to streamline enterprise data governance by allowing users to model, manage, and validate relationships within master data domains such as financial, customer, and organizational structures. It facilitates data consistency and accuracy, supporting the alignment of business processes like reporting, compliance, and analytics. The software offers workflow capabilities for managing data change requests, validation, and approval processes, reducing manual errors and improving decision-making efficiency. Oracle Data Relationship Management addresses the need for robust data stewardship and synchronization among disparate operational and analytical systems.
data.world is a versatile data catalog and data governance platform with more than 2M+ users. With data.world, users can easily identify data owners and collaborate effectively using data, creating a seamless connection between business users and data stewards. Tools and automations help establish and enforce data governance policies and standards. High-performing teams need to facilitate data-driven planning and decision-making, detect and update outdated data, and adhere to regulatory compliance rules. data.world offers data discovery and reporting, with set up that doesn’t require months of studying documentation. data.world’s data catalog and data governance balances comprehensiveness with user-friendliness.
Huwise is a software designed to facilitate data-driven decision making through advanced analytics and business intelligence capabilities. The software enables organizations to aggregate, process, and visualize data from multiple sources, aiming to provide actionable insights tailored to operational or strategic needs. Key features include customizable dashboards, reporting tools, data integration, and automation functionalities. Huwise addresses the business challenge of consolidating complex data sets, helping users to identify trends, monitor performance metrics, and support informed decision-making processes across business functions. The software is suitable for enterprises seeking to streamline their analytics and reporting workflows for improved efficiency and effectiveness.
Dataplex is a software developed to enable centralized data management across distributed data environments. The software facilitates data organization, discovery, governance and policy enforcement, streamlining the classification and access of data assets. Dataplex allows organizations to curate, secure and monitor data in data lakes, warehouses, and other storage locations under a unified framework. It assists businesses in addressing challenges related to data silos and inconsistent policies by providing tools for metadata management, data quality, and lineage tracking. Through integration with analytics and machine learning platforms, the software aims to help organizations maximize the value of their data while maintaining compliance with governance requirements.
SAS Data Governance is a software designed to help organizations manage, monitor, and enforce data policies across enterprise environments. It provides features for data quality management, metadata management, policy enforcement, and compliance reporting. The software enables users to define consistent data processes, track data lineage, and ensure that data assets meet regulatory and internal standards. By facilitating collaboration among data stakeholders and offering workflow management tools, SAS Data Governance assists businesses in reducing data silos and improving data integrity. The software aims to address issues related to data stewardship, risk mitigation, compliance, and operational efficiency by standardizing data practices throughout an organization.
ALEX is a software developed to address data management and governance requirements within organizations. The software offers features such as metadata management, data cataloging, and data lineage, which facilitate the organization and discovery of data assets. By providing automated data classification, policy enforcement, and integrated workflow tools, the software supports compliance with data regulations and enhances transparency across data ecosystems. The software aims to streamline the process for business and technical users to locate, understand, and utilize enterprise data, contributing to improved decision-making and operational efficiency. If no information is found please return No Profile found else return the description.
OvalEdge is a data governance software that facilitates data cataloging, data lineage, data quality, and data privacy management for organizations aiming to improve data accessibility and compliance. The software integrates with various data sources and systems to help users discover, organize, and manage their data assets efficiently. It offers features such as metadata management, policy enforcement, workflow automation, and role-based access controls, enabling structured data stewardship and collaboration across teams. OvalEdge assists organizations in addressing challenges related to data silos, regulatory requirements, and data-driven decision-making by providing tools that support end-to-end visibility and control over enterprise data environments.
DataOS is a Data Product Platform that empowers data teams to efficiently and collaboratively build, deploy, and manage Data Products at scale. It brings a new data architecture paradigm that democratizes data product development and enables a reusable, modular, and composable operating platform that fosters innovation, increases developer efficiency, lowers data OpEx, and improves business autonomy and agility. DataOS leverages existing data infrastructure, abstracts multi-cloud complexity, automates DataOps, and optimizes the overall developer experience.
IBM InfoSphere Information Server is a software designed to facilitate data integration, data quality, and data governance within organizations. The software enables users to connect, cleanse, and transform large volumes of data from multiple sources, helping ensure the consistency and reliability of enterprise information. It provides capabilities for metadata management, data profiling, and lineage tracking, which support compliance and regulatory requirements. The software offers flexible tools for building, deploying, and managing data management solutions, assisting organizations in organizing and delivering trusted data to support business analytics, decision-making, and operational processes.
Qlik Compose for Data Warehouses is a software designed to automate the design, creation, and management of data warehouses. The software enables organizations to streamline data modeling, ETL generation, and loading processes while reducing the effort and complexity required to build and maintain data warehouse environments. It supports modern data warehouse architectures by providing capabilities such as metadata-driven design, incremental data loading, and the mapping of source data to business entities. The software addresses the business problem of lengthy data warehouse development cycles and manual coding by facilitating faster data availability and reducing potential errors through automation.