Compare the Top Data Catalog Software in the UK as of October 2024 - Page 2

  • 1
    Databricks Data Intelligence Platform
    The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.
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    AWS Glue

    AWS Glue

    Amazon

    AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development. AWS Glue provides all the capabilities needed for data integration so that you can start analyzing your data and putting it to use in minutes instead of months. Data integration is the process of preparing and combining data for analytics, machine learning, and application development. It involves multiple tasks, such as discovering and extracting data from various sources; enriching, cleaning, normalizing, and combining data; and loading and organizing data in databases, data warehouses, and data lakes. These tasks are often handled by different types of users that each use different products. AWS Glue runs in a serverless environment. There is no infrastructure to manage, and AWS Glue provisions, configures, and scales the resources required to run your data integration jobs.
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    Secuvy AI

    Secuvy AI

    Secuvy AI

    Secuvy is a next-generation cloud platform to automate data security, privacy compliance and governance via AI-driven workflows. Best in class data intelligence especially for unstructured data. Secuvy is a next-generation cloud platform to automate data security, privacy compliance and governance via ai-driven workflows. Best in class data intelligence especially for unstructured data. Automated data discovery, customizable subject access requests, user validations, data maps & workflows for privacy regulations such as ccpa, gdpr, lgpd, pipeda and other global privacy laws. Data intelligence to find sensitive and privacy information across multiple data stores at rest and in motion. In a world where data is growing exponentially, our mission is to help organizations to protect their brand, automate processes, and improve trust with customers. With ever-expanding data sprawls we wish to reduce human efforts, costs & errors for handling Sensitive Data.
  • 4
    Informatica Enterprise Data Catalog
    Scan and index metadata, discover and profile data, and provide detailed lineage across tens of millions of data sets. Classify and organize data assets across any environment to maximize data value and reuse. Automatically scan across multi-cloud platforms, BI tools, ETL, and third-party metadata catalogs; and data types. Leverage AI-powered domain discovery, data similarity, business term associations, and recommendations. Track data movement, from high-level system views to granular column-level lineage, and get detailed impact analysis. Use the Data Asset Analytics dashboard to understand asset usage, enrichment, and collaboration. View data quality rules, scorecards, metric groups, and profiling stats in context. Tap into shared data knowledge with certifications, ratings and reviews, a Q&A platform, and change notifications. Our broad and deep lineup of enterprise-grade data management solutions sets Informatica apart from the crowd.
  • 5
    erwin Data Catalog
    erwin Data Catalog by Quest is metadata management software that helps organizations learn what data they have and where it’s located, including data at rest and in motion. It tells you the data and metadata available for a certain topic so those particular sources and assets can be found quickly for analysis and decision-making. erwin Data Catalog automates the processes involved in harvesting, integrating, activating and governing enterprise data according to business requirements. This automation results in greater accuracy and faster time to value for data governance and digital transformation efforts, including data warehouse, data lake, data vault and other Big Data deployments, cloud migrations, etc. Metadata management is key to sustainable data governance and any other organizational effort for which data is key to the outcome. erwin Data Catalog automates enterprise metadata management, data mapping, data cataloging, code generation, data profiling and data lineage.
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    Oracle Cloud Infrastructure Data Catalog
    Oracle Cloud Infrastructure (OCI) Data Catalog is a metadata management service that helps data professionals discover data and support data governance. Designed specifically to work well with the Oracle ecosystem, it provides an inventory of assets, a business glossary, and a common metastore for data lakes. OCI Data Catalog is fully managed by Oracle and runs with all the power and scale of Oracle Cloud Infrastructure. Benefit from all of the security, reliability, performance, and scale of Oracle Cloud while using OCI Data Catalog. Using REST APIs and SDKs, developers can integrate OCI Data Catalog’s capabilities in their custom applications. Using a trusted system for managing user identities and access privileges, administrators can control access to data catalog objects and capabilities to manage security requirements. Discover data assets across Oracle data stores on-premises and in the cloud to start gaining real value from data.
  • 7
    TIBCO Cloud Metadata
    One challenge in metadata management is the lack of connection between silos of metadata used in IT, operations, analytics, and compliance. TIBCO Cloud™ Metadata software is a single solution that spans all your metadata: data dictionaries, business glossaries, and data catalogs. Built-in artificial intelligence (AI) and machine learning (ML) algorithms facilitate metadata classification and data lineages (horizontal, vertical, regulatory). Deliver the data context, coherency, and control you need to achieve the highest efficiency, best performance, and smartest decision-making across all your teams and departments. Effective execution, analysis, and governance require accurate and consistent metadata about your operations, analytics, and compliance efforts. Instead of multiple silos, use a single solution. Discover, harvest, and manage metadata from all the applications, databases, data lakes, enterprise data warehouses, APIs, social media, and streaming sources you use.
  • 8
    rudol

    rudol

    rudol

    Unify your data catalog, reduce communication overhead and enable quality control to any member of your company, all without deploying or installing anything. rudol is a data quality platform that helps companies understand all their data sources, no matter where they come from; reduces excessive communication in reporting processes or urgencies; and enables data quality diagnosing and issue prevention to all the company, through easy steps With rudol, each organization is able to add data sources from a growing list of providers and BI tools with a standardized structure, including MySQL, PostgreSQL, Airflow, Redshift, Snowflake, Kafka, S3*, BigQuery*, MongoDB*, Tableau*, PowerBI*, Looker* (* in development). So, regardless of where it’s coming from, people can understand where and how the data is stored, read and collaborate with its documentation, or easily contact data owners using our integrations.
    Starting Price: $0
  • 9
    Blindata

    Blindata

    Blindata

    Blindata covers all the functions of a Data Governance program: Business Glossary, Data Catalog & Data Lineage build an integrated and complete view on your Data. Data Classification module gives a semantic meaning to the data while the Data Quality, Issue Management & Data Stewardship modules improve the reliability and trust on data. Moreover, privacy compliance can leverage specific features: registry of processing activities, centralized privacy note management, consent registry with Blockchain integrated notarization. Blindata Agent can connect to different data sources, collecting metadata such data structures (Tables, Views, Fields, …), data quality metrics, reverse lineage, etc. Blindata has a modular and entirely API based architecture allowing systematic integration with the most critical business systems (DBMS, Active Directory, e-commerce, Data Platforms). Blindata is available as SaaS, can be installed “on Premise” or purchased on AWS Marketplace.
    Starting Price: $2000/year/user
  • 10
    Connetra

    Connetra

    Connetra

    Connetra is a data catalog tool that allows organizations to get complete visibility into their interconnected ecosystem of data and set alerts to better understand data accuracy. With Connetra, you can visualize the complete data lineage within your organization, empowering even non-technical users to embark on exciting data discovery journeys. Connetra also lets you set alerts to keep a watchful eye on data accuracy, ensuring you stay in sync with your ever-changing data landscape. In addition, Connetra offers intuitive searching capabilities, allowing users to quickly locate the data they need. Whether it's through precise keyword-based searches or browsing through related datasets, users can easily explore and discover relevant data assets.
    Starting Price: $12/user/month
  • 11
    Raynet Unified Data Platform
    Is bad or incomplete data keeping your business-driven IT projects from succeeding? Organizations struggle to get their IT asset data under one roof and get useful insights from it. The increasing diversity of data and complexity of IT infrastructures means you can collect data but not aggregate, aggregate but not normalize, normalize but not enrich. In 90% of the cases, organizations can collect the data, but they can’t turn it into visibility or actionable insights by aggregating, normalizing, and eniriching it. With the Raynet Unified Data Platform, ensure continuous access to the high-quality, validated, and reliable data you need to make strategic IT asset management decisions. From procurement, licensing, deployment, and configuration decisions, to ensuring the security and privacy of your critical infrastructure and data, the data platform gives you the insights you need to take control of your IT environment.
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    Collibra

    Collibra

    Collibra

    With a best-in-class catalog, flexible governance, continuous quality, and built-in privacy, the Collibra Data Intelligence Cloud is your single system of engagement for data. Support your users with a best-in-class data catalog that includes embedded governance, privacy and quality. Raise the grade, by ensuring teams can quickly find, understand and access data across sources, business applications, BI and data science tools in one central location. Give your data some much-needed privacy. Centralize, automate and guide workflows to encourage collaboration, operationalize privacy and address global regulatory requirements. Get the full story around your data with Collibra Data Lineage. Automatically map relationships between systems, applications and reports to provide a context-rich view across the enterprise. Hone in on the data you care about most and trust that it is relevant, complete and trustworthy.
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    Denodo

    Denodo

    Denodo Technologies

    The core technology to enable modern data integration and data management solutions. Quickly connect disparate structured and unstructured sources. Catalog your entire data ecosystem. Data stays in the sources and it is accessed on demand, with no need to create another copy. Build data models that suit the needs of the consumer, even across multiple sources. Hide the complexity of your back-end technologies from the end users. The virtual model can be secured and consumed using standard SQL and other formats like REST, SOAP and OData. Easy access to all types of data. Full data integration and data modeling capabilities. Active Data Catalog and self-service capabilities for data & metadata discovery and data preparation. Full data security and data governance capabilities. Fast intelligent execution of data queries. Real-time data delivery in any format. Ability to create data marketplaces. Decoupling of business applications from data systems to facilitate data-driven strategies.
  • 14
    Anzo

    Anzo

    Cambridge Semantics

    Anzo is a modern data discovery and integration platform that lets anyone find, connect and blend any enterprise data into analytics-ready datasets. Anzo’s unique use of semantics and graph data models makes it practical for the first time for virtually anyone in your organization – from skilled data scientists to novice business users – to drive the data discovery and integration process and build their own analytics-ready datasets. Anzo’s graph data models provide business users with a visual map of enterprise data that is easy to understand and navigate, even when your data is vast, siloed and complex. Semantics add business content to data, allowing users to harmonize data based on shared definitions and build blended, business-ready data on demand.
  • 15
    Zeenea Data Catalog
    With our cloud-based Data Catalog, provide a next-generation workspace for your data teams to find, understand and collaborate on your data assets and usages. Empower your data teams by creating an understandable & reliable data asset landscape at the enterprise level. Simple to set up. Easy to use. Ideal for scaling. Easily organize and share your data knowledge and usages across your team and beyond. Get all the insights from your data in real time by connecting Zeenea to your sources. Increase the productivity of your data teams by simplifying and reducing the time spent searching for enterprise assets. Create a library for all your data assets and usages available at the enterprise-level by using the full potential of their metadata in just a few clicks. And ultimately improve any data discovery path. So your data teams can focus on what’s important: delivering their data projects on time.
  • 16
    Apache Atlas

    Apache Atlas

    Apache Software Foundation

    Atlas is a scalable and extensible set of core foundational governance services – enabling enterprises to effectively and efficiently meet their compliance requirements within Hadoop and allows integration with the whole enterprise data ecosystem. Apache Atlas provides open metadata management and governance capabilities for organizations to build a catalog of their data assets, classify and govern these assets and provide collaboration capabilities around these data assets for data scientists, analysts and the data governance team. Pre-defined types for various Hadoop and non-Hadoop metadata. Ability to define new types for the metadata to be managed. Types can have primitive attributes, complex attributes, object references; can inherit from other types. Instances of types, called entities, capture metadata object details and their relationships. REST APIs to work with types and instances allow easier integration.
  • 17
    Talend Data Catalog
    Talend Data Catalog gives your organization a single, secure point of control for your data. With robust tools for search and discovery, and connectors to extract metadata from virtually any data source, Data Catalog makes it easy to protect your data, govern your analytics, manage data pipelines, and accelerate your ETL processes. Data Catalog automatically crawls, profiles, organizes, links, and enriches all your metadata. Up to 80% of the information associated with the data is documented automatically and kept up-to-date through smart relationships and machine learning, continually delivering the most current data to the user. Make data governance a team sport with a secure single point of control where you can collaborate to improve data accessibility, accuracy, and business relevance. Support data privacy and regulatory compliance with intelligent data lineage tracing and compliance tracking.
  • 18
    Zaloni Arena
    End-to-end DataOps built on an agile platform that improves and safeguards your data assets. Arena is the premier augmented data management platform. Our active data catalog enables self-service data enrichment and consumption to quickly control complex data environments. Customizable workflows that increase the accuracy and reliability of every data set. Use machine-learning to identify and align master data assets for better data decisioning. Complete lineage with detailed visualizations alongside masking and tokenization for superior security. We make data management easy. Arena catalogs your data, wherever it is and our extensible connections enable analytics to happen across your preferred tools. Conquer data sprawl challenges: Our software drives business and analytics success while providing the controls and extensibility needed across today’s decentralized, multi-cloud data complexity.
  • 19
    Alex Solutions

    Alex Solutions

    Alex Solutions

    The Alex Platform is your enterprise’s single source of data and business truth. Alex is a foundational pillar of our customer’s data-driven success. From day one of implementation, Alex is designed to start reducing complexity and creating value immediately. Alex Augmented Data Catalog is powered by the industry’s best machine learning, rapidly providing a unified, enterprise-wide data platform. No matter how complex your technical landscape may be, Alex Data Lineage helps you map and understand your data flows in an automated and secure way. Worldwide teams need worldwide coordination. Alex Intelligent Business Glossary’s beautiful UI and rich functionality is perfect for conducting global collaboration. Combat complexity of the multi-cloud and global enterprise by unifying all definitions, policies, metrics, rules, processes, workflows and more. Power global data governance programs.
  • 20
    Amundsen

    Amundsen

    Amundsen

    Discover & trust data for your analysis and models. Be more productive by breaking silos. Get immediate context into the data and see how others are using it. Search for data within your organization by a simple text search. A PageRank-inspired search algorithm recommends results based on names, descriptions, tags, and querying/viewing activity on the table/dashboard. Build trust in data using automated and curated metadata, descriptions of tables and columns, other frequent users, when the table was last updated, statistics, a preview of the data if permitted, etc. Easy triage by linking the ETL job and code that generated the data. Update tables and columns with descriptions, reduce unnecessary back and forth about which table to use and what a column contains. See what data fellow co-workers frequently use, own or have bookmarked. Learn what most common queries for a table look like by seeing dashboards built on a given table.
  • 21
    Kyrah

    Kyrah

    Kyrah

    Kyrah facilitates enterprise data management across your cloud data estate, data exploration, storage assets grouping, security policy enforcement and permissions management. It makes all changes transparent, secure and GDPR-compliant with its easily configurable and fully automated change request mechanism. And last, but not least, it offers full suitability of all events through activity log. Is seamless self-service data provisioning with shopping cart style checkout. Is a single pane of glass for your enterprise data estate via storage map with data usage heatmap. Enables faster time to market by unifying people, process and data provisioning in a single platform and user interface. Provides a single pane of glass for an organization to understand its data landscape including features such as data use a heatmap, data sensitivity and more. Enables enforcement of data compliance to ensure organizations comply with data sovereignty requirements, thus avoiding any potential fines.
  • 22
    Data360 Govern
    Your organization knows the value of data and the need to get it into the hands of business users for maximum impact, but without enterprise data governance, that data might be hard to find, understand, and trust. Data360 Govern is an enterprise data governance, catalog, and metadata management solution that gives you confidence in the quality, value, and trustworthiness of your data. It automates governance and stewardship tasks to help you answer essential questions about your data’s source, use, meaning, ownership, and quality. With Data360 Govern, you can make faster decisions on data usage and management, build collaboration across your entire organization, and allow users to get the answers they need – when they need them. Transparency into your organization’s data landscape gives you the power to track the critical data aligned with your most important business outcomes.
  • 23
    Accurity

    Accurity

    Accurity

    With Accurity, the all-in-one data intelligence platform, you get a company-wide understanding and complete trust in your data — speed up business-critical decision making, increase your revenue, reduce your costs, and ensure your company’s data compliance. Equipped with timely, relevant, and accurate data, you can successfully satisfy and engage with your customers, elevating your brand awareness and driving sales conversions. With everything accessible from a single interface, automated quality checks, and data quality issue workflows, you can lower personnel and infrastructure costs, and spend time utilizing your data rather than just managing it. Discover real value in your data by revealing and removing inefficiencies, improving your decision-making processes, and finding valuable product and customer information to boost your company’s innovation.
  • 24
    OpenText File Intelligence
    Most organizations don’t know where and what information is contained in their documents, including sensitive and regulated information, such as PII and PCI. Much of the content resides outside of managed systems, relying on manual enforcement of governance policies and procedures by individuals, increasing legal and regulatory risk. With increased regulations, litigation and internal audits, understanding what content exists, where it resides and what actions are necessary is critical. OpenText™ File Intelligence is a file analysis application that is quickly deployed, easy to use and provides enterprises with robust functionality to catalog unmanaged sources (i.e., file shares, email, etc.), identify and analyze content files and support decision making to ensure the appropriate management of critical and valuable content.
  • 25
    Sifflet

    Sifflet

    Sifflet

    Automatically cover thousands of tables with ML-based anomaly detection and 50+ custom metrics. Comprehensive data and metadata monitoring. Exhaustive mapping of all dependencies between assets, from ingestion to BI. Enhanced productivity and collaboration between data engineers and data consumers. Sifflet seamlessly integrates into your data sources and preferred tools and can run on AWS, Google Cloud Platform, and Microsoft Azure. Keep an eye on the health of your data and alert the team when quality criteria aren’t met. Set up in a few clicks the fundamental coverage of all your tables. Configure the frequency of runs, their criticality, and even customized notifications at the same time. Leverage ML-based rules to detect any anomaly in your data. No need for an initial configuration. A unique model for each rule learns from historical data and from user feedback. Complement the automated rules with a library of 50+ templates that can be applied to any asset.
  • 26
    Aggua

    Aggua

    Aggua

    Aggua is a data fabric augmented AI platform that enables data and business teams Access to their data, creating Trust and giving practical Data Insights, for a more holistic, data-centric decision-making. Instead of wondering what is going on underneath the hood of your organization's data stack, become immediately informed with a few clicks. Get access to data cost insights, data lineage and documentation without needing to take time out of your data engineer's workday. Instead of spending a lot of time tracing what a data type change will break in your data pipelines, tables and infrastructure, with automated lineage, your data architects and engineers can spend less time manually going through logs and DAGs and more time actually making the changes to infrastructure.
  • 27
    Acryl Data

    Acryl Data

    Acryl Data

    No more data catalog ghost towns. Acryl Cloud drives fast time-to-value via Shift Left practices for data producers and an intuitive UI for data consumers. Continuously detect data quality incidents in real-time, automate anomaly detection to prevent breakages, and drive fast resolution when they do occur. Acryl Cloud supports both push-based and pull-based metadata ingestion for easy maintenance, ensuring information is trustworthy, up-to-date, and definitive. Data should be operational. Go beyond simple visibility and use automated Metadata Tests to continuously expose data insights and surface new areas for improvement. Reduce confusion and accelerate resolution with clear asset ownership, automatic detection, streamlined alerts, and time-based lineage for tracing root causes.
  • 28
    DataGalaxy

    DataGalaxy

    DataGalaxy

    DataGalaxy’s all-in-one data catalog offers out-of-the-box actionability with fully-customizable attributes, visualization tools, and AI integration to give business teams the ability to document, link, and track all their metadata assets. The Data Catalog 360°’s user-centric platform is dedicated to metadata mapping, management, and knowledge sharing to help your organization manage data your way. A data catalog enables employees from all teams to collaborate using centralized, homogeneous data sets. Our data catalog provides clarity on data definitions, synonyms, and essential business attributes with a semantic layer so all users can understand and leverage their data as an asset. When you need answers about specific metadata, turn to the data catalog that identifies a topic’s 360° data experts, owners, and stewards empowering your team through streamlined collaboration.
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    ShaipCloud

    ShaipCloud

    ShaipCloud

    Experience unparalleled functionality with a state-of-the-art AI data platform that works smarter to deliver quality data and launch successful AI projects. ShaipCloud utilizes patented technology to collect, track, and monitor workloads, transcribe audio and utterances, annotate text, images, and video, as well as manage quality control and data exchange. Your AI project gets the highest quality data possible. Not only do you get it quickly and at an affordable cost but as your AI project grows, ShaipCloud grows with it through scalability and platform integrations required to make your job easier and deliver successful results. The platform simplifies workflow, reduces the friction of working with a distributed global workforce, and provides greater visibility, and real-time quality control. There are data platforms. Then there are AI data platforms. The secure ShaipCloud human-in-the-loop platform offers the functionality to collect, transform and annotate data.
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    Validio

    Validio

    Validio

    See how your data assets are used: popularity, utilization, and schema coverage. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Find and filter the data you need based on metadata tags and descriptions. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Drive data governance and ownership across your organization. Stream-lake-warehouse lineage to facilitate data ownership and collaboration. Automatically generated field-level lineage map to understand the entire data ecosystem. Anomaly detection learns from your data and seasonality patterns, with automatic backfill from historical data. Machine learning-based thresholds are trained per data segment, trained on actual data instead of metadata only.