Alternatives to Kylo

Accelerate your data journey with AnalyticsCreator. Automate the design, development, and deployment of modern data architectures, including dimensional models, data marts, and data vaults or a combination of modeling techniques. Seamlessly integrate with leading platforms like Microsoft Fabric, Power BI, Snowflake, Tableau, and Azure Synapse and more. Experience streamlined development with automated documentation, lineage tracking, and schema evolution. Our intelligent metadata engine empowers rapid prototyping and deployment of analytics and data solutions. Reduce time-consuming manual tasks, allowing you to focus on data-driven insights and business outcomes. AnalyticsCreator supports agile methodologies and modern data engineering workflows, including CI/CD. Let AnalyticsCreator handle the complexities of data modeling and transformation, enabling you to unlock the full potential of your data

Snowflake is a cloud-native data platform that combines data warehousing, data lakes, and data sharing into a single solution. By offering elastic scalability and automatic scaling, Snowflake enables businesses to handle vast amounts of data while maintaining high performance at low cost. The platform's architecture allows users to separate storage and compute, offering flexibility in managing workloads. Snowflake supports real-time data sharing and integrates seamlessly with other analytics tools, enabling teams to collaborate and gain insights from their data more efficiently. Its secure, multi-cloud architecture makes it a strong choice for enterprises looking to leverage data at scale.

The most accurate, complete, and timely data provides the best insight. Minitab Connect empowers data users across the enterprise with self service tools to transform diverse data into a network of data pipelines that feed analytics initiatives, foster collaboration and foster organizational-wide collaboration. Users can seamlessly combine and explore data from various sources, including databases, on-premise and cloud apps, unstructured data and spreadsheets. Automated workflows make data integration faster and provide powerful data preparation tools that allow for transformative insights. Data integration tools that are intuitive and flexible allow users to connect and blend data from multiple sources such as data warehouses, IoT devices and cloud storage.

Manta is a unified data lineage platform that serves as the central hub of all enterprise data flows. Manta can construct lineage from report definitions, custom SQL code, and ETL workflows. Lineage is analyzed based on actual code, and both direct and indirect flows can be visualized on the map. Data paths between files, report fields, database tables, and individual columns are displayed to users in an intuitive user interface, enabling teams to understand data flows in context.

An agile platform for end-to-end DataOps that not only enhances but also protects your data assets is available through Arena, the leading augmented data management solution. With our dynamic data catalog, users can enrich and access data independently, facilitating efficient management of intricate data landscapes. Tailored workflows enhance the precision and dependability of every dataset, while machine learning identifies and aligns master data assets to facilitate superior decision-making. Comprehensive lineage tracking, accompanied by intricate visualizations and advanced security measures like masking and tokenization, ensures utmost protection. Our platform simplifies data management by cataloging data from any location, with flexible connections that allow analytics to integrate seamlessly with your chosen tools. Additionally, our software effectively addresses the challenges of data sprawl, driving success in business and analytics while offering essential controls and adaptability in today’s diverse, multi-cloud data environments. As organizations increasingly rely on data, Arena stands out as a vital partner in navigating this complexity.

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.

The contemporary data workspace transforms the accessibility of your data assets, making everything from data tables to BI reports easily discoverable. With our robust search algorithms and user-friendly browsing experience, locating the right asset becomes effortless. Atlan simplifies the identification of poor-quality data through the automatic generation of data quality profiles. This includes features like variable type detection, frequency distribution analysis, missing value identification, and outlier detection, ensuring you have comprehensive support. By alleviating the challenges associated with governing and managing your data ecosystem, Atlan streamlines the entire process. Additionally, Atlan’s intelligent bots analyze SQL query history to automatically construct data lineage and identify PII data, enabling you to establish dynamic access policies and implement top-notch governance. Even those without technical expertise can easily perform queries across various data lakes, warehouses, and databases using our intuitive query builder that resembles Excel. Furthermore, seamless integrations with platforms such as Tableau and Jupyter enhance collaborative efforts around data, fostering a more connected analytical environment. Thus, Atlan not only simplifies data management but also empowers users to leverage data effectively in their decision-making processes.

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.

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.

Dremio provides lightning-fast queries as well as a self-service semantic layer directly to your data lake storage. No data moving to proprietary data warehouses, and no cubes, aggregation tables, or extracts. Data architects have flexibility and control, while data consumers have self-service. Apache Arrow and Dremio technologies such as Data Reflections, Columnar Cloud Cache(C3), and Predictive Pipelining combine to make it easy to query your data lake storage. An abstraction layer allows IT to apply security and business meaning while allowing analysts and data scientists access data to explore it and create new virtual datasets. Dremio's semantic layers is an integrated searchable catalog that indexes all your metadata so business users can make sense of your data. The semantic layer is made up of virtual datasets and spaces, which are all searchable and indexed.

Explore the exceptional features offered by Global IDs, which provide a comprehensive range of Enterprise Data Solutions including data governance, compliance, cloud migration, rationalization, privacy, analytics, and more. The Global IDs EDA Platform includes essential functionalities such as automated discovery and profiling, data classification, data lineage, and data quality, all aimed at ensuring that data is transparent, reliable, and understandable throughout the ecosystem. Additionally, the architecture of the Global IDs EDA platform is built for seamless integration, enabling access to all its functionalities through APIs. This platform effectively automates data management for organizations of varying sizes and diverse data environments. By utilizing Global IDs EDA, businesses can significantly enhance their data management practices and drive better decision-making.

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.

Tokern offers an open-source suite designed for data governance, specifically tailored for databases and data lakes. This user-friendly toolkit facilitates the collection, organization, and analysis of metadata from data lakes, allowing users to execute quick tasks via a command-line application or run it as a service for ongoing metadata collection. Users can delve into aspects like data lineage, access controls, and personally identifiable information (PII) datasets, utilizing reporting dashboards or Jupyter notebooks for programmatic analysis. As a comprehensive solution, Tokern aims to enhance your data's return on investment, ensure compliance with regulations such as HIPAA, CCPA, and GDPR, and safeguard sensitive information against insider threats seamlessly. It provides centralized management for metadata related to users, datasets, and jobs, which supports various other data governance functionalities. With the capability to track Column Level Data Lineage for platforms like Snowflake, AWS Redshift, and BigQuery, users can construct lineage from query histories or ETL scripts. Additionally, lineage exploration can be achieved through interactive graphs or programmatically via APIs or SDKs, offering a versatile approach to understanding data flow. Overall, Tokern empowers organizations to maintain robust data governance while navigating complex regulatory landscapes.

Mozart Data is the all-in-one modern data platform for consolidating, organizing, and analyzing your data. Set up a modern data stack in an hour, without any engineering. Start getting more out of your data and making data-driven decisions today.

Decube is a comprehensive data management platform designed to help organizations manage their data observability, data catalog, and data governance needs. Our platform is designed to provide accurate, reliable, and timely data, enabling organizations to make better-informed decisions. Our data observability tools provide end-to-end visibility into data, making it easier for organizations to track data origin and flow across different systems and departments. With our real-time monitoring capabilities, organizations can detect data incidents quickly and reduce their impact on business operations. The data catalog component of our platform provides a centralized repository for all data assets, making it easier for organizations to manage and govern data usage and access. With our data classification tools, organizations can identify and manage sensitive data more effectively, ensuring compliance with data privacy regulations and policies. The data governance component of our platform provides robust access controls, enabling organizations to manage data access and usage effectively. Our tools also allow organizations to generate audit reports, track user activity, and demonstrate compliance with regulatory requirements.

Transform your big data processes and create intelligent knowledge repositories with the Data Lake Governance Center (DGC), a comprehensive platform for managing all facets of data lake operations, including design, development, integration, quality, and asset management. With its intuitive visual interface, you can establish a robust data lake governance framework that enhances the efficiency of your data lifecycle management. Leverage analytics and metrics to uphold strong governance throughout your organization, while also defining and tracking data standards with the ability to receive real-time alerts. Accelerate the development of data lakes by easily configuring data integrations, models, and cleansing protocols to facilitate the identification of trustworthy data sources. Enhance the overall business value derived from your data assets. DGC enables the creation of tailored solutions for various applications, such as smart government, smart taxation, and smart campuses, while providing valuable insights into sensitive information across your organization. Additionally, DGC empowers businesses to establish comprehensive catalogs, classifications, and terminologies for their data. This holistic approach ensures that data governance is not just a task, but a core aspect of your enterprise's strategy.

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.

The need for insights derived from data and for innovative solutions has reached unprecedented levels. In the current landscape of global business, maintaining a competitive advantage relies heavily on the capacity to utilize reliable data for making strategic and informed decisions. Sadly, despite the vast amounts of data that many organizations gather, it often goes underutilized because business leaders struggle to locate it or lack the understanding and trust necessary to leverage it effectively. ASG Data Intelligence (ASG DI) addresses this issue of data skepticism through its metadata-centric platform, which enhances the intelligence of technical data by providing comprehensive views of the data lifecycle and its transformations, alongside contextual business relevance. By empowering users across various roles—such as data scientists, analysts, and marketers—data can be harnessed to its full potential when it is accessible, comprehensible, and dependable. Establishing confidence in data is essential, and this is achieved by enhancing the understanding of its origins, the processes it undergoes, and the business context in which it operates. Consequently, organizations can transform their approach to data and drive greater innovation and efficiency.

To have complete control over your data, harness the power of data discovery, data lineage and a data catalogue. It can quickly navigate through complex data landscapes. Access the most comprehensive automated data lineage and discovery system. This gives you unprecedented visibility and trust in the most complex data environments. Octopai extracts metadata from all data environments. Octopai can instantly analyze metadata in a fast, secure, and easy process. Octopai gives you access to data lineage, data discovery, and a data catalogue, all from one central platform. In seconds, trace any data from end to end through your entire data landscape. Find the data you need automatically from any place in your data landscape. A self-creating, self updating data catalog will help you create consistency across your company.

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.

Talend Data Fabric's cloud services are able to efficiently solve all your integration and integrity problems -- on-premises or in cloud, from any source, at any endpoint. Trusted data delivered at the right time for every user. With an intuitive interface and minimal coding, you can easily and quickly integrate data, files, applications, events, and APIs from any source to any location. Integrate quality into data management to ensure compliance with all regulations. This is possible through a collaborative, pervasive, and cohesive approach towards data governance. High quality, reliable data is essential to make informed decisions. It must be derived from real-time and batch processing, and enhanced with market-leading data enrichment and cleaning tools. Make your data more valuable by making it accessible internally and externally. Building APIs is easy with the extensive self-service capabilities. This will improve customer engagement.

SAP Information Steward software facilitates data profiling, monitoring, and the management of information policies. Acting as the information governance component of the SAP Business Technology Platform, it enables organizations to foresee risks and enhance business results. By integrating data profiling, data lineage, and metadata management, users can achieve ongoing visibility into the reliability of their enterprise data framework. This allows for a deeper comprehension of data quality throughout the data management ecosystem, while providing access to analytical metrics through user-friendly dashboards and scorecards. To advance enterprise information management efforts, it offers unwavering validation rules and guidelines to support analysts, data stewards, and IT professionals alike. With the ability to discover, evaluate, define, oversee, and enhance the quality of your enterprise data assets through data profiling and metadata management, all functions are available in a single solution. Moreover, organizations can simulate potential cost reductions stemming from enhanced data quality by conducting what-if analyses, thus paving the way for informed decision-making. Ultimately, this software not only streamlines processes but also reinforces the significance of maintaining high-quality data.

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.

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.

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.

Addressing the challenges faced by modern enterprises and industries hinges on the effective utilization of big data. The capability to gather information from various sources within your organization—whether it originates from different applications, individuals, or IoT systems—presents enormous opportunities. Infor’s Data Lake tools offer schema-on-read intelligence coupled with a rapid and adaptable data consumption framework, facilitating innovative approaches to critical decision-making. By gaining streamlined access to your entire Infor ecosystem, you can initiate the process of capturing and leveraging big data to enhance your analytics and machine learning initiatives. Extremely scalable, the Infor Data Lake serves as a cohesive repository, allowing for the accumulation of all your organizational data. As you expand your insights and investments, you can incorporate additional content, leading to more informed decisions and enriched analytics capabilities while creating robust datasets to strengthen your machine learning operations. This comprehensive approach not only optimizes data management but also empowers organizations to stay ahead in a rapidly evolving landscape.

In just 15 minutes, you can set up your automated data catalogue and receive column-level lines, Entity Relationship diagrams, and auto-populated documentation in 24 hours. You can easily tag, find, and add documentation to data so everyone can find the right one for them. Select Star automatically detects your column-level data lineage and displays it. Now you can trust the data by knowing where it came. Select Star automatically displays how your company uses data. This allows you to identify relevant data fields without having to ask anyone else. Select Star ensures that your data is protected with AICPA SOC2 Security, Confidentiality and Availability standards.

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.

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.

Ataccama is a revolutionary way to manage data and create enterprise value. Ataccama unifies Data Governance, Data Quality and Master Data Management into one AI-powered fabric that can be used in hybrid and cloud environments. This gives your business and data teams unprecedented speed and security while ensuring trust, security and governance of your data.

Microsoft Purview serves as a comprehensive data governance platform that facilitates the management and oversight of your data across on-premises, multicloud, and software-as-a-service (SaaS) environments. With its capabilities in automated data discovery, sensitive data classification, and complete data lineage tracking, you can effortlessly develop a thorough and current representation of your data ecosystem. This empowers data users to access reliable and valuable data easily. The service provides automated identification of data lineage and classification across various sources, ensuring a cohesive view of your data assets and their interconnections for enhanced governance. Through semantic search, users can discover data using both business and technical terminology, providing insights into the location and flow of sensitive information within a hybrid data environment. By leveraging the Purview Data Map, you can lay the groundwork for effective data utilization and governance, while also automating and managing metadata from diverse sources. Additionally, it supports the classification of data using both predefined and custom classifiers, along with Microsoft Information Protection sensitivity labels, ensuring that your data governance framework is robust and adaptable. This combination of features positions Microsoft Purview as an essential tool for organizations seeking to optimize their data management strategies.

VantageCloud by Teradata is a next-gen cloud analytics ecosystem built to unify disparate data sources, deliver real-time AI-powered insights, and drive enterprise innovation with unprecedented efficiency. The platform includes VantageCloud Lake, designed for elastic scalability and GPU-accelerated AI workloads, and VantageCloud Enterprise, which supports robust analytics capabilities across secure hybrid and multi-cloud deployments. It seamlessly integrates with leading cloud providers like AWS, Azure, and Google Cloud, and supports open table formats like Apache Iceberg for greater data flexibility. With built-in support for advanced analytics, workload management, and cross-functional collaboration, VantageCloud provides the agility and power modern enterprises need to accelerate digital transformation and optimize operational outcomes.

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.

Upsolver makes it easy to create a governed data lake, manage, integrate, and prepare streaming data for analysis. Only use auto-generated schema on-read SQL to create pipelines. A visual IDE that makes it easy to build pipelines. Add Upserts to data lake tables. Mix streaming and large-scale batch data. Automated schema evolution and reprocessing of previous state. Automated orchestration of pipelines (no Dags). Fully-managed execution at scale Strong consistency guarantee over object storage Nearly zero maintenance overhead for analytics-ready information. Integral hygiene for data lake tables, including columnar formats, partitioning and compaction, as well as vacuuming. Low cost, 100,000 events per second (billions every day) Continuous lock-free compaction to eliminate the "small file" problem. Parquet-based tables are ideal for quick queries.

Embrace a groundbreaking age of analytics through the Alteryx AI Platform. Equip your organization with streamlined data preparation, analytics powered by artificial intelligence, and accessible machine learning, all while ensuring governance and security are built in. This marks the dawn of a new era for data-driven decision-making accessible to every user and team at all levels. Enhance your teams' capabilities with a straightforward, user-friendly interface that enables everyone to develop analytical solutions that boost productivity, efficiency, and profitability. Foster a robust analytics culture by utilizing a comprehensive cloud analytics platform that allows you to convert data into meaningful insights via self-service data preparation, machine learning, and AI-generated findings. Minimize risks and safeguard your data with cutting-edge security protocols and certifications. Additionally, seamlessly connect to your data and applications through open API standards, facilitating a more integrated and efficient analytical environment. By adopting these innovations, your organization can thrive in an increasingly data-centric world.

Trifacta offers an efficient solution for preparing data and constructing data pipelines in the cloud. By leveraging visual and intelligent assistance, it enables users to expedite data preparation, leading to quicker insights. Data analytics projects can falter due to poor data quality; therefore, Trifacta equips you with the tools to comprehend and refine your data swiftly and accurately. It empowers users to harness the full potential of their data without the need for coding expertise. Traditional manual data preparation methods can be tedious and lack scalability, but with Trifacta, you can create, implement, and maintain self-service data pipelines in mere minutes instead of months, revolutionizing your data workflow. This ensures that your analytics projects are not only successful but also sustainable over time.

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.

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.

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.

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.

ER/Studio Enterprise Team Edition allows data modelers and architects the ability to share data models and metadata throughout an enterprise. It offers a complete solution to enterprise architecture and data governance.

Multi-cloud data security with a single pane of glass Industry's first SaaS access governance solution. Cloud is fragmented and data is scattered across different systems. Sensitive data is difficult to access and control due to limited visibility. Complex data onboarding hinders data scientist productivity. Data governance across services can be manual and fragmented. It can be time-consuming to securely move data to the cloud. Maximize visibility and assess the risk of sensitive data distributed across multiple cloud service providers. One system that enables you to manage multiple cloud services' data policies in a single place. Support RTBF, GDPR and other compliance requests across multiple cloud service providers. Securely move data to the cloud and enable Apache Ranger compliance policies. It is easier and quicker to transform sensitive data across multiple cloud databases and analytical platforms using one integrated system.

DataHub is a versatile open-source metadata platform crafted to enhance data discovery, observability, and governance within various data environments. It empowers organizations to easily find reliable data, providing customized experiences for users while avoiding disruptions through precise lineage tracking at both the cross-platform and column levels. By offering a holistic view of business, operational, and technical contexts, DataHub instills trust in your data repository. The platform features automated data quality assessments along with AI-driven anomaly detection, alerting teams to emerging issues and consolidating incident management. With comprehensive lineage information, documentation, and ownership details, DataHub streamlines the resolution of problems. Furthermore, it automates governance processes by classifying evolving assets, significantly reducing manual effort with GenAI documentation, AI-based classification, and intelligent propagation mechanisms. Additionally, DataHub's flexible architecture accommodates more than 70 native integrations, making it a robust choice for organizations seeking to optimize their data ecosystems. This makes it an invaluable tool for any organization looking to enhance their data management capabilities.

If you're looking to establish a governed delta lake, create a data warehouse, or transition from a conventional database to a contemporary cloud data solution, Lyftrondata has you covered. You can effortlessly create and oversee all your data workloads within a single platform, automating the construction of your pipeline and warehouse. Instantly analyze your data using ANSI SQL and business intelligence or machine learning tools, and easily share your findings without the need for custom coding. This functionality enhances the efficiency of your data teams and accelerates the realization of value. You can define, categorize, and locate all data sets in one centralized location, enabling seamless sharing with peers without the complexity of coding, thus fostering insightful data-driven decisions. This capability is particularly advantageous for organizations wishing to store their data once, share it with various experts, and leverage it repeatedly for both current and future needs. In addition, you can define datasets, execute SQL transformations, or migrate your existing SQL data processing workflows to any cloud data warehouse of your choice, ensuring flexibility and scalability in your data management strategy.

IBM InfoSphere® Information Governance Catalog is an online platform designed to help users investigate, comprehend, and evaluate their data. It facilitates the creation and management of a shared business lexicon, enables the documentation and implementation of policies and rules, and allows for the monitoring of data lineage. By integrating with IBM Watson® Knowledge Catalog, users can utilize existing curated datasets and enhance their on-premises Information Governance Catalog investment by extending it to the cloud. This knowledge catalog empowers data professionals by providing easy access to valuable metadata, ensuring that data science and analytics teams can find the optimal resources for their needs while maintaining alignment with enterprise governance standards. It establishes a unified business language and terminology that fosters a more profound understanding of all data assets, whether they are structured, semi-structured, or unstructured. Additionally, it records governance policies and implements rules, guiding how information should be organized, stored, transformed, and transferred, thus promoting efficiency and compliance within an organization. Overall, the platform not only supports effective data management but also enhances collaboration among teams by ensuring that everyone has access to the same foundational data understanding.

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

Information flows in from various sources, increasing in both volume and intricacy. Within this information lies valuable knowledge and insights brimming with potential. This potential can only be fully harnessed when it influences every decision and action taken by the organization in real-time. As the landscape of business evolves, the data itself transforms, yielding fresh knowledge and insights. This establishes a continuous cycle of learning and adaptation. Sectors as diverse as finance, healthcare, telecommunications, manufacturing, transportation, and entertainment have acknowledged the opportunities this presents. The journey to capitalize on these opportunities is both formidable and exhilarating. Achieving success requires unprecedented levels of speed and agility in comprehending, managing, and processing vast quantities of ever-evolving data. For complex organizations to thrive, they need a high-performance data platform designed for automation and self-service, capable of flourishing amidst change and adjusting to new circumstances, while also addressing the most challenging data processing and management issues. In this rapidly evolving environment, organizations must commit to investing in innovative solutions that empower them to navigate the complexities of their data landscapes effectively.

Paxata is an innovative, user-friendly platform that allows business analysts to quickly ingest, analyze, and transform various raw datasets into useful information independently, significantly speeding up the process of generating actionable business insights. Besides supporting business analysts and subject matter experts, Paxata offers an extensive suite of automation tools and data preparation features that can be integrated into other applications to streamline data preparation as a service. The Paxata Adaptive Information Platform (AIP) brings together data integration, quality assurance, semantic enhancement, collaboration, and robust data governance, all while maintaining transparent data lineage through self-documentation. Utilizing a highly flexible multi-tenant cloud architecture, Paxata AIP stands out as the only contemporary information platform that operates as a multi-cloud hybrid information fabric, ensuring versatility and scalability in data handling. This unique approach not only enhances efficiency but also fosters collaboration across different teams within an organization.

Introducing a unique cloud data lakehouse that is entirely managed and capable of ingesting data from all your sources within minutes, while seamlessly accommodating every query engine at scale, all at a significantly reduced cost. This platform enables ingestion from both databases and event streams at terabyte scale in near real-time, offering the ease of fully managed pipelines. Furthermore, you can execute queries using any engine, catering to diverse needs such as business intelligence, real-time analytics, and AI/ML applications. By adopting this solution, you can reduce your expenses by over 50% compared to traditional cloud data warehouses and ETL tools, thanks to straightforward usage-based pricing. Deployment is swift, taking just minutes, without the burden of engineering overhead, thanks to a fully managed and highly optimized cloud service. Consolidate your data into a single source of truth, eliminating the necessity of duplicating data across various warehouses and lakes. Select the appropriate table format for each task, benefitting from seamless interoperability between Apache Hudi, Apache Iceberg, and Delta Lake. Additionally, quickly set up managed pipelines for change data capture (CDC) and streaming ingestion, ensuring that your data architecture is both agile and efficient. This innovative approach not only streamlines your data processes but also enhances decision-making capabilities across your organization.

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.