Alternatives to Amundsen

PopSQL is the evolution of legacy SQL editors like DataGrip, DBeaver, Postico. We provide a beautiful, modern SQL editor for data focused teams looking to save time, improve data accuracy, onboard new hires faster, and deliver insights to the business fast. With PopSQL, users can easily understand their data model, write version controlled SQL, collaborate with live presence, visualize data in charts and dashboards, schedule reports, share results, and organize foundational queries for search and discovery. Even if your team is already leveraging a large BI tool, like Tableau or Looker, or a hodge podge of SQL editors, PopSQL enables seamless collaboration between your SQL power users, junior analysts, and even your less technical stakeholders who are hungry for data insights. * Cross-platform compatibility with macOS, Windows, and Linux * Works with Snowflake, Redshift, BigQuery, Clickhouse, Databricks, Athena, MongoDB, PostgreSQL, MySQL, SQL Server, SQLite, Presto, Cassandra, and more

Pentaho+ is an integrated suite of products that provides data integration, analytics and cataloging. It also optimizes and improves quality. This allows for seamless data management and drives innovation and informed decisions. Pentaho+ helped customers achieve 3x more improved data trust and 7x more impactful business results, as well as a 70% increase productivity.

We assist organizations, regardless of their size, in crafting, developing, and expanding solutions to effectively manage their data and unlock its full potential. At Datahub, we offer a vast array of datasets at no cost, alongside a Premium Data Service for tailored or additional data with assured updates. Datahub delivers essential and widely-utilized data in the form of high-quality, user-friendly, and open data packages. Users can securely share and elegantly display their data online, benefiting from features such as quality checks, versioning, data APIs, notifications, and integrations. Data serves as the quickest method for individuals, teams, and organizations to publish, deploy, and share structured information, all while prioritizing both power and simplicity. Streamline your data processes through our open-source framework, enabling you to store, share, and showcase your data to the world or keep it private as needed. Our offering is entirely open source, backed by professional maintenance and support, providing an end-to-end solution where all components are seamlessly integrated. We not only supply tools but also offer a standardized methodology and framework for effectively handling your data, ensuring that you can harness its value efficiently. This comprehensive approach guarantees that all users can maximize their data's impact.

Transparency, choice and control are key to trust. Organizations have the opportunity to leverage these moments to build trust, and provide more valuable experiences. People expect greater control over their data. We offer privacy and data governance automation to help organizations better understand and comply with regulatory requirements. We also operationalize risk mitigation to ensure transparency and choice for individuals. Your organization will be able to achieve data privacy compliance quicker and build trust. Our platform helps to break down silos between processes, workflows, teams, and people to operationalize regulatory compliance. It also allows for trusted data use. Building proactive privacy programs that are rooted in global best practice and not just reacting to individual regulations is possible. To drive mitigation and risk-based decision-making, gain visibility into unknown risks. Respect individual choice and integrate privacy and security by default in the data lifecycle.

Uncover, record, and oversee your metadata effectively. Dataedo features a range of automated metadata scanners designed to interface with different database technologies, where they extract data structures and metadata to populate your metadata repository. With just a few clicks, you can create a comprehensive catalog of your data while detailing each component. Clarify table and column names with user-friendly aliases, and enrich your understanding of data assets by adding descriptions and custom fields defined by users. Leverage sample data to gain insights into the contents of your data assets, allowing you to grasp the information better prior to utilization and ensuring its quality. Maintain high data standards through data profiling techniques. Facilitate widespread access to data knowledge across your organization. Enhance data literacy, democratize data access, and empower all members of your organization to leverage data more effectively with a simple on-premises data catalog solution. Strengthening data literacy through a well-structured data catalog will ultimately lead to improved decision-making processes.

With Secoda AI enhancing your metadata, you can effortlessly obtain contextual search results spanning your tables, columns, dashboards, metrics, and queries. This innovative tool also assists in generating documentation and queries from your metadata, which can save your team countless hours that would otherwise be spent on tedious tasks and repetitive data requests. You can easily conduct searches across all columns, tables, dashboards, events, and metrics with just a few clicks. The AI-driven search functionality allows you to pose any question regarding your data and receive quick, relevant answers. By integrating data discovery seamlessly into your workflow through our API, you can perform bulk updates, label PII data, manage technical debt, create custom integrations, pinpoint underutilized resources, and much more. By eliminating manual errors, you can establish complete confidence in your knowledge repository, ensuring that your team has the most accurate and reliable information at their fingertips. This transformative approach not only enhances productivity but also fosters a more informed decision-making process throughout your organization.

Enable data for AI and analytics in a business-friendly manner through smart cataloging, supported by proactive metadata and policy governance. The IBM Watson® Knowledge Catalog serves as a powerful tool for discovering data, models, and more, enhancing the self-service exploration experience. Acting as a cloud-based repository for enterprise metadata, it facilitates the activation of information for AI, machine learning (ML), and deep learning applications. Users can access, curate, categorize, and share data and knowledge assets along with their interconnections, regardless of their location. By organizing, defining, and managing enterprise data effectively, organizations can ensure they have the appropriate context to generate value for various needs, including regulatory compliance and data monetization efforts. Furthermore, it safeguards data integrity, oversees compliance and audit readiness, and fosters client trust through active policy management and the dynamic masking of sensitive information. With user-friendly dashboards and workflows that can be easily shared with colleagues or integrated with analytical tools, businesses can consume and transform data efficiently to keep pace with their operational demands. By leveraging these capabilities, organizations can enhance their decision-making processes and drive innovation across their operations.

Google Cloud's Dataplex serves as an advanced data fabric that empowers organizations to efficiently discover, manage, monitor, and govern their data across various platforms, including data lakes, warehouses, and marts, while maintaining uniform controls that ensure access to reliable data and facilitate large-scale analytics and AI initiatives. By offering a cohesive interface for data management, Dataplex streamlines processes like data discovery, classification, and metadata enhancement for diverse data types, whether structured, semi-structured, or unstructured, both within Google Cloud and external environments. It organizes data logically into business-relevant domains through lakes and data zones, making data curation, tiering, and archiving more straightforward. With its centralized security and governance features, Dataplex supports effective policy management, robust monitoring, and thorough auditing across fragmented data silos, thereby promoting distributed data ownership while ensuring global oversight. Furthermore, the platform includes automated data quality assessments and lineage tracking, which enhance the reliability and traceability of data, ensuring organizations can trust their data-driven decisions. By integrating these functionalities, Dataplex not only simplifies data management but also enhances collaboration within teams focused on analytics and AI.

Castor serves as a comprehensive data catalog aimed at facilitating widespread use throughout an entire organization. It provides a holistic view of your data ecosystem, allowing you to swiftly search for information using its robust search capabilities. Transitioning to a new data framework and accessing necessary data becomes effortless. This approach transcends conventional data catalogs by integrating various data sources, thereby ensuring a unified truth. With an engaging and automated documentation process, Castor simplifies the task of establishing trust in your data. Within minutes, users can visualize column-level, cross-system data lineage. Gain an overarching perspective of your data pipelines to enhance confidence in your data integrity. This tool enables users to address data challenges, conduct impact assessments, and ensure GDPR compliance all in one platform. Additionally, it helps in optimizing performance, costs, compliance, and security associated with your data management. By utilizing our automated infrastructure monitoring system, you can ensure the ongoing health of your data stack while streamlining data governance practices.

Blindata encompasses all the essential components of a comprehensive Data Governance program. Its features, including the Business Glossary, Data Catalog, and Data Lineage, work together to provide a cohesive and thorough perspective on your data. The Data Classification module assigns semantic significance to the data, while the Data Quality, Issue Management, and Data Stewardship modules enhance data reliability and foster trust. Additionally, specific functionalities for privacy compliance are available, such as a registry for processing activities, centralized management of privacy notes, and a consent registry that incorporates Blockchain for notarization. The Blindata Agent facilitates connections to various data sources, enabling the collection of metadata, including data structures like Tables, Views, and Fields, as well as data quality metrics and reverse lineage. With a modular design and fully API-driven architecture, Blindata supports seamless integration with vital business systems, including DBMS, Active Directory, e-commerce platforms, and various Data Platforms. This versatile solution can be deployed as a Software as a Service (SaaS), installed on-premises, or acquired through the AWS Marketplace, making it accessible for a wide range of organizational needs. Its flexibility ensures that businesses can tailor their Data Governance approach to meet specific requirements effectively.

Aggua serves as an augmented AI platform for data fabric that empowers both data and business teams to access their information, fostering trust while providing actionable data insights, ultimately leading to more comprehensive, data-driven decision-making. Rather than being left in the dark about the intricacies of your organization's data stack, you can quickly gain clarity with just a few clicks. This platform offers insights into data costs, lineage, and documentation without disrupting your data engineer’s busy schedule. Instead of investing excessive time on identifying how a change in data type might impact your data pipelines, tables, and overall infrastructure, automated lineage allows data architects and engineers to focus on implementing changes rather than sifting through logs and DAGs. As a result, teams can work more efficiently and effectively, leading to faster project completions and improved operational outcomes.

Efficiently scan and catalog metadata, uncover and characterize data, while offering comprehensive lineage tracking over millions of datasets. Organize and classify data assets across diverse environments to enhance their value and facilitate reuse. Perform automated scanning across multi-cloud environments, business intelligence tools, ETL processes, and external metadata catalogs, along with various data types. Utilize AI-driven capabilities for domain discovery, data similarity assessment, business term linkages, and tailored recommendations. Monitor data movement with precision, ranging from overarching system perspectives to detailed column-level lineage, accompanied by thorough impact assessments. Access the Data Asset Analytics dashboard to gain insights into asset utilization, enrichment processes, and collaborative efforts. Examine data quality protocols, scorecards, metric clusters, and profiling statistics within their relevant contexts. Engage with shared data intelligence through certifications, ratings and feedback, a Q&A feature, and timely change alerts. What truly distinguishes Informatica is its extensive and robust suite of enterprise-grade data management solutions, ensuring comprehensive support for diverse data needs. With such capabilities, organizations can navigate their data landscapes more effectively and make informed decisions.

Leverage our cloud-based Data Catalog to create a state-of-the-art workspace for your data teams, enabling them to locate, comprehend, and work collaboratively on your data assets and their applications. By establishing a clear and trustworthy data asset ecosystem at the enterprise level, you can empower your data teams effectively. The setup is straightforward, the interface is user-friendly, and it is perfectly suited for scaling operations. Effortlessly organize and disseminate your team's data knowledge and applications beyond your immediate group. With real-time insights available by connecting Zeenea to your data sources, you can significantly enhance the efficiency of your data teams by minimizing the time spent searching for enterprise assets. Develop a comprehensive library that houses all your data assets and their applications at the enterprise level, utilizing the full capabilities of metadata with just a few clicks. By refining any data discovery process, you ultimately allow your data teams to prioritize what truly matters: ensuring the timely delivery of their data projects. This approach not only streamlines operations but also fosters a culture of collaboration within the organization.

Quest's erwin Data Catalog is a powerful tool for metadata management that assists organizations in understanding their data assets and their locations, encompassing both static and dynamic data. It provides insights into the available data and metadata related to specific topics, enabling users to swiftly locate relevant sources and resources for analysis and informed decision-making. By automating the tasks associated with harvesting, integrating, activating, and governing enterprise data in line with business needs, erwin Data Catalog enhances accuracy and accelerates the value derived from data governance initiatives and digital transformation projects, such as those involving data warehouses, data lakes, data vaults, and cloud migrations. Effective management of metadata is crucial for sustainable data governance and is essential for any organizational endeavor reliant on data for successful outcomes. The erwin Data Catalog streamlines various functions including enterprise metadata management, data mapping, cataloging, code generation, data profiling, and tracking data lineage, ultimately improving overall data management efficiency. As a result, organizations can better harness their data for strategic advantage and operational excellence.

Effortlessly monitor thousands of tables through machine learning-driven anomaly detection alongside a suite of over 50 tailored metrics. Ensure comprehensive oversight of both data and metadata while meticulously mapping all asset dependencies from ingestion to business intelligence. This solution enhances productivity and fosters collaboration between data engineers and consumers. Sifflet integrates smoothly with your existing data sources and tools, functioning on platforms like AWS, Google Cloud Platform, and Microsoft Azure. Maintain vigilance over your data's health and promptly notify your team when quality standards are not satisfied. With just a few clicks, you can establish essential coverage for all your tables. Additionally, you can customize the frequency of checks, their importance, and specific notifications simultaneously. Utilize machine learning-driven protocols to identify any data anomalies with no initial setup required. Every rule is supported by a unique model that adapts based on historical data and user input. You can also enhance automated processes by utilizing a library of over 50 templates applicable to any asset, thereby streamlining your monitoring efforts even further. This approach not only simplifies data management but also empowers teams to respond proactively to potential issues.

The fundamental technology that powers contemporary solutions for data integration and management is designed to swiftly link various structured and unstructured data sources. It allows for the comprehensive cataloging of your entire data environment, ensuring that data remains within its original sources and is retrieved as needed, eliminating the requirement for duplicate copies. Users can construct data models tailored to their needs, even when drawing from multiple data sources, while also concealing the intricacies of back-end systems from end users. The virtual model can be securely accessed and utilized through standard SQL alongside other formats such as REST, SOAP, and OData, promoting easy access to diverse data types. It features complete data integration and modeling capabilities, along with an Active Data Catalog that enables self-service for data and metadata exploration and preparation. Furthermore, it incorporates robust data security and governance measures, ensures rapid and intelligent execution of data queries, and provides real-time data delivery in various formats. The system also supports the establishment of data marketplaces and effectively decouples business applications from data systems, paving the way for more informed, data-driven decision-making strategies. This innovative approach enhances the overall agility and responsiveness of organizations in managing their data assets.

This is the essential tool for metadata management. In just 5 minutes, automatically populate your entire catalogue! Data Discovery. Data Discovery. Find the data you need from any part of your data ecosystem, starting with the database and ending with the specific values for each field. Automated documentation of your data from existing data storage. First-class support for unstructured and tabular data. Automated data governance actions. Data Lineage. Data Lineage. Explore your data lineage to understand where your data is coming from and where it is headed. View the impact analysis of changes. See all up- and downstream impacts. Visualize connections and relationships. API AccessNew. Tree Schema API allows you to manage your data lineage in code and keep your catalog current. Integrate Data Lineage in CICD pipelines Capture values & description within your code Analyze the impact of breaking changes. Data Dictionary. Know the key terms and lingo which drive your business. Define the context and scope of keywords

Examine the usage of your data assets, focusing on aspects like popularity, utilization, and schema coverage. Gain vital insights into your data assets, including their quality and usage metrics. You can easily locate and filter the necessary data by leveraging metadata tags and descriptions. Additionally, these insights will help you drive data governance and establish clear ownership within your organization. By implementing a streamlined lineage from data lakes to warehouses, you can enhance collaboration and accountability. An automatically generated field-level lineage map provides a comprehensive view of your entire data ecosystem. Moreover, anomaly detection systems adapt by learning from your data trends and seasonal variations, ensuring automatic backfilling with historical data. Thresholds driven by machine learning are specifically tailored for each data segment, relying on actual data rather than just metadata to ensure accuracy and relevance. This holistic approach empowers organizations to better manage their data landscape effectively.

Talend Data Catalog provides your organization with a single point of control for all your data. Data Catalog provides robust tools for search, discovery, and connectors that allow you to extract metadata from almost any data source. It makes it easy to manage your data pipelines, protect your data, and accelerate your ETL process. Data Catalog automatically crawls, profiles and links all your metadata. Data Catalog automatically documents up to 80% of the data associated with it. Smart relationships and machine learning keep the data current and up-to-date, ensuring that the user has the most recent data. Data governance can be made a team sport by providing a single point of control that allows you to collaborate to improve data accessibility and accuracy. With intelligent data lineage tracking and compliance tracking, you can support data privacy and regulatory compliance.

The Databricks Data Intelligence Platform empowers every member of your organization to leverage data and artificial intelligence effectively. Constructed on a lakehouse architecture, it establishes a cohesive and transparent foundation for all aspects of data management and governance, enhanced by a Data Intelligence Engine that recognizes the distinct characteristics of your data. Companies that excel across various sectors will be those that harness the power of data and AI. Covering everything from ETL processes to data warehousing and generative AI, Databricks facilitates the streamlining and acceleration of your data and AI objectives. By merging generative AI with the integrative advantages of a lakehouse, Databricks fuels a Data Intelligence Engine that comprehends the specific semantics of your data. This functionality enables the platform to optimize performance automatically and manage infrastructure in a manner tailored to your organization's needs. Additionally, the Data Intelligence Engine is designed to grasp the unique language of your enterprise, making the search and exploration of new data as straightforward as posing a question to a colleague, thus fostering collaboration and efficiency. Ultimately, this innovative approach transforms the way organizations interact with their data, driving better decision-making and insights.

Atlas serves as a versatile and scalable suite of essential governance services, empowering organizations to efficiently comply with regulations within the Hadoop ecosystem while facilitating integration across the enterprise's data landscape. Apache Atlas offers comprehensive metadata management and governance tools that assist businesses in creating a detailed catalog of their data assets, effectively classifying and managing these assets, and fostering collaboration among data scientists, analysts, and governance teams. It comes equipped with pre-defined types for a variety of both Hadoop and non-Hadoop metadata, alongside the capability to establish new metadata types tailored to specific needs. These types can incorporate primitive attributes, complex attributes, and object references, and they can also inherit characteristics from other types. Entities, which are instances of these types, encapsulate the specifics of metadata objects and their interconnections. Additionally, REST APIs enable seamless interaction with types and instances, promoting easier integration and enhancing overall functionality. This robust framework not only streamlines governance processes but also supports a culture of data-driven collaboration across the organization.

Experience an advanced, fully managed service for data discovery and metadata management that scales efficiently. New customers can enjoy $300 in complimentary credits for Google Cloud services during their Free Trial period. All users receive up to 1 MiB of free storage for business or ingested metadata and can make 1 million API calls at no cost. Utilize an intuitive yet robust faceted-search interface to locate your data with ease. Automatically synchronize technical metadata while generating organized tags for business-related metadata. Ensure the protection of sensitive information with automatic tagging through integration with Cloud Data Loss Prevention (DLP). Gain immediate access and easily scale your operations without the need for infrastructure setup or maintenance. Enable any team member to discover or tag data using a user-friendly interface, powered by the same search technology as Gmail, or through API access. With Data Catalog being fully managed, you can effortlessly initiate and expand your usage. Uphold data security measures and adhere to compliance requirements with the help of Cloud IAM and Cloud DLP integrations, ensuring a solid foundation for your data management needs. This service not only simplifies data handling but also enhances collaboration and efficiency across your organization.

Oracle Cloud Infrastructure (OCI) Data Catalog serves as a comprehensive metadata management service tailored for data professionals to facilitate data discovery and governance efforts. It is specifically designed to integrate seamlessly with the Oracle ecosystem, offering features such as an asset inventory, a business glossary, and a unified metastore for data lakes. Fully managed by Oracle, OCI Data Catalog harnesses the extensive capabilities and scalability of Oracle Cloud Infrastructure. Users can take advantage of the robust security, reliability, and performance that Oracle Cloud offers while utilizing the features of OCI Data Catalog. Developers have the option to leverage REST APIs and SDKs to incorporate OCI Data Catalog functionalities into their bespoke applications. Administrators benefit from a reliable system for overseeing user identities and access rights, enabling them to regulate access to catalog objects in accordance with security policies. By exploring data assets available in both Oracle's on-premises and cloud environments, organizations can begin to unlock significant value from their data resources. This comprehensive approach ensures that data governance and management align with organizational goals and compliance requirements.

Your organization recognizes the significance of data and the importance of making it accessible to business users for optimal effectiveness; however, without proper enterprise data governance, locating, comprehending, and trusting that data may pose challenges. Data360 Govern serves as a comprehensive solution for enterprise data governance, cataloging, and metadata management, enabling you to have confidence in your data's quality, value, and reliability. By automating governance and stewardship responsibilities, it equips you to address vital questions regarding your data's origin, usage, significance, ownership, and overall quality. Utilizing Data360 Govern allows for quicker decision-making regarding data management and usage, fosters collaboration throughout the organization, and ensures users can access the necessary answers promptly. Furthermore, gaining transparency into your organization's data ecosystem empowers you to monitor critical data that aligns with your key business objectives, ultimately enhancing strategic initiatives and fostering growth.

Datameer is your go-to data tool for exploring, preparing, visualizing, and cataloging Snowflake insights. From exploring raw datasets to driving business decisions – an all-in-one tool.

Secuvy, a next-generation cloud platform, automates data security, privacy compliance, and governance via AI-driven workflows. Unstructured data is treated with the best data intelligence. Secuvy, a next-generation cloud platform that automates data security, privacy compliance, and governance via AI-driven workflows is called Secuvy. Unstructured data is treated with the best data intelligence. Automated data discovery, customizable subjects access requests, user validations and data maps & workflows to comply with privacy regulations such as the ccpa or gdpr. Data intelligence is used to locate sensitive and private information in multiple data stores, both in motion and at rest. Our mission is to assist organizations in protecting their brand, automating processes, and improving customer trust in a world that is rapidly changing. We want to reduce human effort, costs and errors in handling sensitive data.

DataGalaxy's comprehensive data catalog is designed for immediate action with fully customizable features, visualization capabilities, and AI integration, empowering business teams to document, connect, and monitor all their metadata resources. The user-focused platform of Data Catalog 360° emphasizes metadata mapping, efficient management, and knowledge sharing, allowing organizations to handle data according to their specific needs. This data catalog fosters collaboration among employees across various teams by utilizing centralized, uniform data sets. It provides clarity on data definitions, synonyms, and key business attributes through a semantic layer, ensuring that all users can comprehend and utilize their data effectively. Additionally, when seeking answers about particular metadata, the catalog acts as a resource that identifies the 360° data specialists, owners, and stewards associated with a topic, thereby enhancing teamwork through improved collaboration. By streamlining access to critical information, the catalog not only facilitates informed decision-making but also strengthens the overall data governance within organizations.

Y42 is the first fully managed Modern DataOps Cloud for production-ready data pipelines on top of Google BigQuery and Snowflake.

Bid farewell to abandoned data catalogs. Acryl Cloud accelerates time-to-value by implementing Shift Left methodologies for data producers and providing an easy-to-navigate interface for data consumers. It enables the continuous monitoring of data quality incidents in real-time, automating anomaly detection to avert disruptions and facilitating swift resolutions when issues arise. With support for both push-based and pull-based metadata ingestion, Acryl Cloud simplifies maintenance, ensuring that information remains reliable, current, and authoritative. Data should be actionable and operational. Move past mere visibility and leverage automated Metadata Tests to consistently reveal data insights and identify new opportunities for enhancement. Additionally, enhance clarity and speed up resolutions with defined asset ownership, automatic detection, streamlined notifications, and temporal lineage for tracing the origins of issues while fostering a culture of proactive data management.

Erwin Data Intelligence (erwin DI) integrates data cataloging and data literacy functions to enhance awareness and accessibility of data assets while providing guidance for their usage and establishing safeguards to uphold data policies and best practices. It automatically gathers, transforms, and compiles metadata from a diverse range of data sources, business applications, operational processes, and data models into a centralized catalog. This catalog is then rendered accessible and comprehensible through role-specific, contextual views, empowering stakeholders to make informed strategic decisions based on reliable insights. Furthermore, erwin DI promotes enterprise data governance and supports digital transformation initiatives, alongside any endeavors that depend on data for successful results. It allows for the scheduling of regular metadata scans from a wide variety of data sources, simplifying the mapping of data elements from their origin to their destination, including data in transit, while facilitating seamless data integration across different platforms. In addition, it enables data consumers to identify and explore data that is pertinent to their specific roles, thereby enhancing overall data engagement within the organization. Ultimately, erwin DI serves as a powerful tool for maximizing the value derived from data assets.

A data knowledge management platform designed to help teams efficiently navigate and comprehend their data fosters a culture of trust in their analytics. By utilizing this tool, organizations can avert errors in reporting and avoid expensive missteps. Ensure your data is reliable and make informed decisions with confidence!

Datafi offers a comprehensive data platform tailored for business teams, effectively merging fragmented data systems while ensuring robust data security. It also facilitates self-service data workflows, allowing business users to effortlessly locate, utilize, and share essential information. Organizations choose Datafi to enhance their data capabilities, empowering a broader range of individuals to make quick and informed decisions based on data. With Datafi, accessing any data becomes straightforward and valuable for all users. It provides clarity on data access and utilization, which is crucial for organizations aiming to harness their data for impactful business results. Data-forward companies recognize that simplifying and securing data access is foundational for unlocking new business potentials. By fostering innovative applications of business data, companies can generate transformative outcomes, and those that prioritize enhancing data literacy are more likely to uncover insights that lead to improved services for their clients. In embracing a culture that values data, organizations set the stage for continual growth and advancement.

You can unify your data catalog, reduce communication overhead, and enable quality control for any employee of your company without having to deploy or install anything. Rudol is a data platform that helps companies understand all data sources, regardless of where they are from. It reduces communication in reporting processes and urgencies and allows data quality diagnosis and issue prevention for all company members. Each organization can add data sources from rudol's growing list of providers and BI tools that have a standardized structure. This includes MySQL, PostgreSQL. Redshift. Snowflake. Kafka. S3*. BigQuery*. MongoDB*. Tableau*. PowerBI*. Looker* (*in development). No matter where the data comes from, anyone can easily understand where it is stored, read its documentation, and contact data owners via our integrations.

DvSum, an AI-powered Data Intelligence platform, makes it remarkably easy for data and analytics teams discover, monitor, and govern data. DvSum uses powerful AI-enabled algorithms to automatically catalog, classify, and curate your data and make it available as a Data Catalog. DvSum Data Intelligence will help you propel your enterprise towards its digital- and analytics-enabled transformation goals.

Anzo is an innovative platform for data discovery and integration that empowers users to locate, connect, and blend various enterprise data into datasets that are ready for analysis. With its distinctive application of semantics and graph data models, Anzo enables individuals across the organization—from expert data scientists to inexperienced business users—to actively participate in the data discovery and integration journey, crafting their own analytics-ready datasets in the process. The graph data models offered by Anzo create a visual representation of enterprise data, simplifying the navigation and understanding of complex and siloed information. By incorporating semantics, Anzo enriches the data with business context, allowing users to unify data according to shared definitions and create blended datasets that are tailored for immediate business needs. This democratization of data access not only fosters collaboration but also accelerates decision-making across various levels of the organization.

Transform the chaos of data into meaningful value through the power of data intelligence. By connecting, discovering, enriching, and orchestrating fragmented data resources, organizations can derive actionable insights that drive business success on an enterprise level. SAP Data Intelligence serves as a holistic solution for data management. Acting as the orchestration layer for SAP’s Business Technology Platform, it converts scattered data landscapes into essential insights that foster large-scale innovation. Empower your users with intelligent, relevant, and contextual insights through seamless integration across the entire IT ecosystem. Effectively manage and orchestrate vast volumes of data and streams to enhance operational efficiency. Additionally, streamline processes, operationalize machine learning-driven innovations, and establish robust governance frameworks to mitigate compliance risks with comprehensive metadata management strategies. As data continues to evolve, maintaining a clear focus on actionable insights will be crucial for sustaining enterprise growth.

Connetra serves as a comprehensive data catalog solution that provides organizations with thorough insights into their interconnected data environments, enabling the establishment of alerts to enhance the understanding of data accuracy. By utilizing Connetra, users can visualize the entire data lineage within their organization, which empowers even those without technical expertise to engage in meaningful data exploration. Additionally, Connetra facilitates the setting of alerts to monitor data accuracy, helping users remain aligned with the dynamic nature of their data landscape. Moreover, Connetra boasts user-friendly search features that enable individuals to swiftly find the data they require. Whether through targeted keyword searches or by browsing related datasets, users can effortlessly navigate and uncover pertinent data assets, ultimately transforming the way they interact with data. This innovative tool ensures that organizations can harness the full potential of their data resources effectively.

Amazon DataZone serves as a comprehensive data management solution that empowers users to catalog, explore, share, and regulate data from various sources, including AWS, on-premises systems, and third-party platforms. It provides administrators and data stewards with the ability to manage and oversee data access with precision, guaranteeing that users possess the correct level of permissions and contextual understanding. This service streamlines data access for a diverse range of professionals, such as engineers, data scientists, product managers, analysts, and business users, thereby promoting insights driven by data through enhanced collaboration. Among its notable features are a business data catalog that enables searching and requesting access to published datasets, tools for project collaboration to oversee and manage data assets, a user-friendly web portal offering tailored views for data analysis, and regulated data sharing workflows that ensure proper access. Furthermore, Amazon DataZone leverages machine learning to automate the processes of data discovery and cataloging, making it an invaluable resource for organizations striving to maximize their data utility. As a result, it significantly enhances the efficiency of data governance and utilization across various business functions.

Expand your reach to potential data buyers by utilizing seamless, one-click integrations for your complete data catalog on a single platform, enabling you to scale your data business effortlessly. Highlight your data offerings and connect with buyers through various channels, ensuring a consistent product catalog complete with automated data samples and dictionaries. You can publish your catalog directly on your website, making it easy to attract and engage prospective customers. With just a simple click, sync your data products to multiple marketplaces and catalogs, streamlining your distribution process. Enhance your data sales pipeline by centralizing all incoming inquiries in a unified inbox, allowing for better management and response. Share previews of your data samples across different marketplaces and monitor who is engaging with your offerings. Gain insights into the performance of your data products across various channels, focusing on visibility and conversion rates. Our subscription plans cater to data providers at every stage, from startups to those preparing for IPOs. There is a growing audience of data buyers eager to discover your offerings, and we simplify the process of enhancing your visibility in the marketplace. By leveraging our platform, you can maximize your reach and drive sales effectively.

Oversee and protect the entire data lifecycle from the Edge to AI across any cloud platform or data center. Functions seamlessly within all leading public cloud services as well as private clouds, providing a uniform public cloud experience universally. Unifies data management and analytical processes throughout the data lifecycle, enabling access to data from any location. Ensures the implementation of security measures, regulatory compliance, migration strategies, and metadata management in every environment. With a focus on open source, adaptable integrations, and compatibility with various data storage and computing systems, it enhances the accessibility of self-service analytics. This enables users to engage in integrated, multifunctional analytics on well-managed and protected business data, while ensuring a consistent experience across on-premises, hybrid, and multi-cloud settings. Benefit from standardized data security, governance, lineage tracking, and control, all while delivering the robust and user-friendly cloud analytics solutions that business users need, effectively reducing the reliance on unauthorized IT solutions. Additionally, these capabilities foster a collaborative environment where data-driven decision-making is streamlined and more efficient.

Alation stands out as the pioneering company to introduce a data catalog to the market, significantly enhancing the ways individuals discover, comprehend, trust, utilize, and repurpose data. By leading the charge in active, non-invasive data governance, Alation effectively facilitates data democratization while ensuring compliance on a large scale, providing users with the necessary data along with clear guidance on its appropriate usage. The company addresses some of the most pressing data challenges today by merging human insights with advanced AI and machine learning technologies. Currently, over 350 enterprises rely on Alation to empower their decision-making with confidence based on data. Notable clients include American Family Insurance, Exelon, Munich Re, and Pfizer, all of whom benefit from Alation’s innovative solutions. This widespread adoption underscores the company's impact on fostering a data-driven culture across various industries.

In today’s data-driven landscape, the quest for data often consumes more time than the actual analysis itself. Azure Data Catalog serves as a comprehensive metadata repository designed to simplify the process of discovering data assets across the enterprise. This fully-managed service empowers users—from analysts to data scientists and developers—to register, enhance, locate, comprehend, and utilize various data sources effectively. You can engage with data using your preferred tools, as Data Catalog enables you to access the information you require and integrate it seamlessly into your workflows. Your data remains where you prefer, while Data Catalog facilitates the exploration and utilization of that data in a user-friendly manner. By promoting widespread adoption and fostering ongoing value creation within your data ecosystem, Data Catalog provides useful insights, practical tips, and unwritten guidelines within a shared platform that benefits all users. With this tool, contributions from everyone are encouraged, leading to a democratization of data asset discovery that enhances collaborative efforts. This collective engagement ultimately transforms how organizations leverage data, paving the way for innovation and efficiency.

The Collibra Data Intelligence Cloud serves as your comprehensive platform for engaging with data, featuring an exceptional catalog, adaptable governance, ongoing quality assurance, and integrated privacy measures. Empower your teams with a premier data catalog that seamlessly merges governance, privacy, and quality controls. Elevate efficiency by enabling teams to swiftly discover, comprehend, and access data from various sources, business applications, BI, and data science tools all within a unified hub. Protect your data's privacy by centralizing, automating, and streamlining workflows that foster collaboration, implement privacy measures, and comply with international regulations. Explore the complete narrative of your data with Collibra Data Lineage, which automatically delineates the connections between systems, applications, and reports, providing a contextually rich perspective throughout the organization. Focus on the most critical data while maintaining confidence in its relevance, completeness, and reliability, ensuring that your organization thrives in a data-driven world. By leveraging these capabilities, you can transform your data management practices and drive better decision-making across the board.

MetaCenter allows both business and technology departments to systematically organize and categorize the information resources of an organization. Through this platform, users can independently inquire about their data assets and understand the movement of data within the business, as well as determine the appropriate usage classifications. This capability helps organizations minimize expenses while enhancing flexibility and mitigating operational risks. The search-based semantic layer facilitates the automatic cross-referencing of models. Additionally, tailored Faceted Views for specific data assets can be made accessible to distinct roles within the organization. The lower total cost of ownership combined with increased automation results in a superior return on investment when compared to rival solutions. Moreover, the intuitive, GUI-driven customization allows for quick application adaptations without the need for programming expertise or professional services, making it highly user-friendly. Ultimately, this empowers teams to respond swiftly to changing business needs and enhances overall productivity.

K2View believes that every enterprise should be able to leverage its data to become as disruptive and agile as possible. We enable this through our Data Product Platform, which creates and manages a trusted dataset for every business entity – on demand, in real time. The dataset is always in sync with its sources, adapts to changes on the fly, and is instantly accessible to any authorized data consumer. We fuel operational use cases, including customer 360, data masking, test data management, data migration, and legacy application modernization – to deliver business outcomes at half the time and cost of other alternatives.