Apache Atlas Alternatives

Manta is the world-class automated approach to visualize, optimize, and modernize how data moves through your organization through code-level lineage. By automatically scanning your data environment with the power of 50+ out-of-the-box scanners, Manta builds a powerful map of all data pipelines to drive efficiency and productivity. Visit manta.io to learn more. With Manta platform, you can make your data a truly enterprise-wide asset, bridge the understanding gap, enable self-service, and easily: • Increase productivity • Accelerate development • Shorten time-to-market • Reduce costs and manual effort • Run instant and accurate root cause and impact analyses • Scope and perform effective cloud migrations • Improve data governance and regulatory compliance (GDPR, CCPA, HIPAA, and more) • Increase data quality • Enhance data privacy and data security

Immuta is the market leader in secure Data Access, providing data teams one universal platform to control access to analytical data sets in the cloud. Only Immuta can automate access to data by discovering, securing, and monitoring data. Data-driven organizations around the world trust Immuta to speed time to data, safely share more data with more users, and mitigate the risk of data leaks and breaches. Founded in 2015, Immuta is headquartered in Boston, MA. Immuta is the fastest way for algorithm-driven enterprises to accelerate the development and control of machine learning and advanced analytics. The company's hyperscale data management platform provides data scientists with rapid, personalized data access to dramatically improve the creation, deployment and auditability of machine learning and AI.

Voracity is the only high-performance, all-in-one data management platform accelerating AND consolidating the key activities of data discovery, integration, migration, governance, and analytics. Voracity helps you control your data in every stage of the lifecycle, and extract maximum value from it. Only in Voracity can you: 1) CLASSIFY, profile and diagram enterprise data sources 2) Speed or LEAVE legacy sort and ETL tools 3) MIGRATE data to modernize and WRANGLE data to analyze 4) FIND PII everywhere and consistently MASK it for referential integrity 5) Score re-ID risk and ANONYMIZE quasi-identifiers 6) Create and manage DB subsets or intelligently synthesize TEST data 7) Package, protect and provision BIG data 8) Validate, scrub, enrich and unify data to improve its QUALITY 9) Manage metadata and MASTER data. Use Voracity to comply with data privacy laws, de-muck and govern the data lake, improve the reliability of your analytics, and create safe, smart test data

Your teams need consistent, trusted data to support data-driven decision making. Make sure they have it with integrated, automated, intelligent data governance at scale. Axon Data Governance is the collaboration hub and data marketplace for successful, scalable data governance programs. Easily identify stakeholders and facilitate knowledge transfer across communities so teams can learn from each other. Ensure that teams can quickly find, access, and understand the data they need to uncover analytics insights with a carefully curated data marketplace. Use governed data to fuel key initiatives (such as improving customer experience) and deliver consistent, trusted results across your organization. Build governance and data privacy into your processes and projects from the start to support compliance with regulations like GDPR and CCPA. Develop a common data dictionary to provide a consistent source of business context across multiple tools.

In the new world of data, you can spend more time looking for data than you do analyzing it. Azure Data Catalog is an enterprise-wide metadata catalog that makes data asset discovery straightforward. It’s a fully-managed service that lets you—from analyst to data scientist to data developer—register, enrich, discover, understand, and consume data sources. Work with data in the tool of your choice. Data Catalog lets you find the data you need and use it in the tools you choose. Your data stays where you want it, and Data Catalog helps you discover and work with it where you want, with an intuitive user experience. ncrease broad adoption and continuous value creation across your data ecosystem. Data Catalog helps you get tips, tricks, and unwritten rules into an experience where everyone can get value. With Data Catalog, everyone can contribute. Democratize data asset discovery.

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.

erwin Data Intelligence (erwin DI) combines data catalog and data literacy capabilities for greater awareness of and access to available data assets, guidance on their use, and guardrails to ensure data policies and best practices are followed. Automatically harvest, transform and feed metadata from a wide array of data sources, operational processes, business applications and data models into a central catalog. Then make it accessible and understandable via role-based, contextual views so stakeholders can make strategic decisions based on accurate insights. erwin DI supports enterprise data governance, digital transformation and any effort that relies on data for favorable outcomes. Schedule ongoing scans of metadata from the widest array of data sources. Easily map data elements from source to target, including data in motion, and harmonize data integration across platforms. Enable data consumers to define and discover data relevant to their roles.

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.

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.

Kylo is an open source enterprise-ready data lake management software platform for self-service data ingest and data preparation with integrated metadata management, governance, security and best practices inspired by Think Big's 150+ big data implementation projects. Self-service data ingest with data cleansing, validation, and automatic profiling. Wrangle data with visual sql and an interactive transform through a simple user interface. Search and explore data and metadata, view lineage, and profile statistics. Monitor health of feeds and services in the data lake. Track SLAs and troubleshoot performance. Design batch or streaming pipeline templates in Apache NiFi and register with Kylo to enable user self-service. Organizations can expend significant engineering effort moving data into Hadoop yet struggle to maintain governance and data quality. Kylo dramatically simplifies data ingest by shifting ingest to data owners through a simple guided UI.

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.

Alation is the first company to bring a data catalog to market. It radically improves how people find, understand, trust, use, and reuse data. Alation pioneered active, non-invasive data governance, which supports both data democratization and compliance at scale, so people have the data they need alongside guidance on how to use it correctly. By combining human insight with AI and machine learning, Alation tackles the toughest challenges in data today. More than 350 enterprises use Alation to make confident, data-driven decisions. American Family Insurance, Exelon, Munich Re, and Pfizer are all proud customers.

At K2View, we believe that every enterprise should be able to leverage its data to become as disruptive and agile as the best companies in its industry. We make this possible through our patented Data Product Platform, which creates and manages a complete and compliant dataset for every business entity – on demand, and in real time. The dataset is always in sync with its underlying sources, adapts to changes in the source structures, and is instantly accessible to any authorized data consumer. Data Product Platform fuels many operational use cases, including customer 360, data masking and tokenization, test data management, data migration, legacy application modernization, data pipelining and more – to deliver business outcomes in less than half the time, and at half the cost, of any other alternative. The platform inherently supports modern data architectures – data mesh, data fabric, and data hub – and deploys in cloud, on-premise, or hybrid environments.

At the intersection of data governance, privacy, and security, Privacera’s unified data access governance platform maximizes the value of data by providing secure data access control and governance across hybrid- and multi-cloud environments. The hybrid platform centralizes access and natively enforces policies across multiple cloud services—AWS, Azure, Google Cloud, Databricks, Snowflake, Starburst and more—to democratize trusted data enterprise-wide without compromising compliance with regulations such as GDPR, CCPA, LGPD, or HIPAA. Trusted by Fortune 500 customers across finance, insurance, retail, healthcare, media, public and the federal sector, Privacera is the industry’s leading data access governance platform that delivers unmatched scalability, elasticity, and performance. Headquartered in Fremont, California, Privacera was founded in 2016 to manage cloud data privacy and security by the creators of Apache Ranger™ and Apache Atlas™.

Discover, document and manage your metadata. Dataedo is equipped with multiple automated metadata scanners that connect to various database technologies, extract data structures and metadata, and load them into the metadata repository. With a few clicks, build a catalog of your data and describe each element. Decrypt table and column names with business-friendly aliases, provide meaning and purpose of data assets with descriptions and user-defined custom fields. Use sample data to learn what data is stored in your data assets. Understand the data better before using it and make sure that the data is good quality. Ensure high data quality with data profiling. Democratize access to knowledge about data. Build data literacy, democratize data and empower everyone in your organization to make better use of your data with a lightweight on-premises data catalog. Boost data literacy through a data catalog.

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.

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.

The demand for data-driven insights and innovation has never been higher. Maintaining a competitive edge in today’s global enterprises hinges on the ability to leverage trusted data to make informed and strategic business decisions. Unfortunately, while most companies collect a wealth of data, it too often remains unused because business leaders either can’t find it or simply don’t understand and trust it. ASG Data Intelligence (ASG DI) is the solution for data distrust. It is a metadata-driven platform that makes technical data “smarter” with end-to-end views of the data and its movements (data lineage) combined with business meaning and usage guardrails. Data value is unleashed by making it available, understood and trusted to users across your organization – data scientists, analysts, marketers and more. Build trust in data with improved understanding of its origins, processes and business context.

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.

The modern data workspace. Make all your data assets from data tables to BI reports, instantly discoverable. Our powerful search algorithms combined with easy browsing experience, make finding the right asset, a breeze. Atlan auto-generates data quality profiles which make detecting bad data, dead easy. From automatic variable type detection & frequency distribution to missing values and outlier detection, we’ve got you covered. Atlan takes the pain away from governing and managing your data ecosystem! Atlan’s bots parse through SQL query history to auto construct data lineage and auto-detect PII data, allowing you to create dynamic access policies & best in class governance. Even non-technical users can directly query across multiple data lakes, warehouses & DBs using our excel-like query builder. Native integrations with tools like Tableau and Jupyter makes data collaboration come alive.

The essential tool for metadata management. Automatically populate your entire catalog in under 5 minutes! Data Discovery. Find the data you need anywhere within your data ecosystem from the database all the way down to the specific values for each field. Automatically document your data from existing data stores. First-class support for tabular and unstructured data. Automated data governance actions. Data Lineage. Explore your data lineage and understand where your data comes from and where it is going. View impact analysis of changes Find all up and downstream impacts. Visualize relationships and connections. API AccessNew. Manage your data lineage as code and keep your catalog up to date with the Tree Schema API. Integrate Data Lineage into CICD pipelines Capture values & descriptions within your code Analyze impact for breaking changes. Data Dictionary. Know the key terms and lingo that drive your business. Define the context and scope for keywords

DvSum is a AI-powered Data Intelligence platform that makes it remarkably easier for your data and analytics teams to discover, monitor, and govern data. With powerful AI-enabled algorithms, DvSum automatically catalogues, classifies, and curates your data and makes it available as an actionable Data Catalog. Propel your enterprise towards its digital and analytics enabled transformation goals with DvSum Data Intelligence.

SAP Information Steward software supports data profiling and monitoring and information policy management. As the information governance layer of SAP Business Technology Platform, it can help you anticipate risk and drive better business outcomes. Combine data profiling, data lineage, and metadata management to gain continuous insight into the integrity of your enterprise data model. Gain a better understanding of data quality across your data management landscape,while accessing and analyzing metrics with intuitive dashboards and scorecards. Improve enterprise information management initiatives by supporting analysts, data stewards, and IT experts with consistent validation rules and guidelines. Discover, assess, define, monitor, and improve the quality of your enterprise data assets with data profiling and metadata management – all with one solution. Forecast the potential savings of improved data quality by running what-if analyses.

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.

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.

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.

Decube is a data management platform that helps organizations manage their data observability, data catalog, and data governance needs. It provides end-to-end visibility into data and ensures its accuracy, consistency, and trustworthiness. Decube's platform includes data observability, a data catalog, and data governance components that work together to provide a comprehensive solution. The data observability tools enable real-time monitoring and detection of data incidents, while the data catalog provides a centralized repository for data assets, making it easier to manage and govern data usage and access. The data governance tools provide robust access controls, audit reports, and data lineage tracking to demonstrate compliance with regulatory requirements. Decube's platform is customizable and scalable, making it easy for organizations to tailor it to meet their specific data management needs and manage data across different systems, data sources, and departments.

OvalEdge is a cost-effective data catalog designed for end-to-end data governance, privacy compliance, and fast, trustworthy analytics. OvalEdge crawls your organizations’ databases, BI platforms, ETL tools, and data lakes to create an easy-to-access, smart inventory of your data assets. Using OvalEdge, analysts can discover data and deliver powerful insights quickly. OvalEdge’s comprehensive functionality enables users to establish and improve data access, data literacy, and data quality.

The PHEMI Trustworthy Health DataLab is a unique, cloud-based, integrated big data management system that allows healthcare organizations to enhance innovation and generate value from healthcare data by simplifying the ingestion and de-identification of data with NSA/military-grade governance, privacy, and security built-in. Conventional products simply lock down data, PHEMI goes further, solving privacy and security challenges and addressing the urgent need to secure, govern, curate, and control access to privacy-sensitive personal healthcare information (PHI). This improves data sharing and collaboration inside and outside of an enterprise—without compromising the privacy of sensitive information or increasing administrative burden. PHEMI Trustworthy Health DataLab can scale to any size of organization, is easy to deploy and manage, connects to hundreds of data sources, and integrates with popular data science and business analysis tools.

Ataccama reinvents the way data is managed to create value on an enterprise scale. Unifying Data Governance, Data Quality, and Master Data Management into a single, AI-powered fabric across hybrid and Cloud environments, Ataccama gives your business and data teams the ability to innovate with unprecedented speed while maintaining trust, security, and governance of your 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.

Find out some of the best platform features provided by Global IDs, which brings in a set of Enterprise Data Solutions like data governance, data compliance, cloud migration, rationalization, privacy, analytics & much more! Global IDs EDA Platform feature comprises a set of core functions: automated discovery and profiling, data classification, data lineage, data quality and more – that render data transparent, trustworthy, and explainable across the ecosystem. Global IDs EDA platform architecture is designed for integration from the ground up with all platform functionality accessible via APIs. Global IDs EDA platform automates data management for enterprises of any size or data ecosystem.

Datameer revolutionizes data transformation with a low-code approach, trusted by top global enterprises. Craft, transform, and publish data seamlessly with no code and SQL, simplifying complex data engineering tasks. Empower your data teams to make informed decisions confidently while saving costs and ensuring responsible self-service analytics. Speed up your analytics workflow by transforming datasets to answer ad-hoc questions and support operational dashboards. Empower everyone on your team with our SQL or Drag-and-Drop to transform your data in an intuitive and collaborative workspace. And best of all, everything happens in Snowflake. Datameer is designed and optimized for Snowflake to reduce data movement and increase platform adoption. Some of the problems Datameer solves: - Analytics is not accessible - Drowning in backlog - Long development

Activate business-ready data for AI and analytics with intelligent cataloging, backed by active metadata and policy management. IBM Watson® Knowledge Catalog is a data catalog tool that powers intelligent, self-service discovery of data, models and more. The cloud-based enterprise metadata repository activates information for AI, machine learning (ML) and deep learning. Access, curate, categorize and share data, knowledge assets and their relationships, wherever they reside. Organize, define and manage enterprise data to provide the right context and drive value across needs like regulatory compliance and data monetization. Protect data, manage compliance and audit-readiness, and maintain client trust with active policy management and dynamic masking of sensitive data. Consume and transform data at the speed of business with intuitive dashboards and flows that can be shared with peers or analytics tools.

IBM InfoSphere® Information Governance Catalog is a web-based tool that allows you to explore, understand and analyze information. You can create, manage and share a common business language, document and enact policies and rules, and track data lineage. Combine with IBM Watson® Knowledge Catalog to leverage existing curated data sets and extend your on-premises Information Governance Catalog investment to the cloud. A knowledge catalog allows you to put collected metadata into the hands of knowledge workers so data science and analytics communities can get easy access to the best assets for their purpose while still adhering to enterprise governance requirements. Provides a common business language and vocabulary to enable a deeper understanding of all your data assets, structured, semi-structured and unstructured. Documents governance policies and enacts rules to help you define how information should be structured, stored, transformed and moved.

To fully understand master data management (MDM), we must first define and explain master data and differentiate between it and master data management. Master data is the critical business information that supports and classifies the transactional and analytical data of an enterprise. It may also be referred to as “enterprise data” or “metadata,” and often includes application-specific metadata, alternative business perspectives, corporate dimensions, reference data, and master data assets. Examples of enterprise data include chart of accounts, organization or cost-center structures, market segments, product categories, and more. Master data management (MDM) does exactly what the name implies—manages master data. MDM is the combination of applications and technologies that consolidates, cleanses, and augments this master data and synchronizes it with applications, business processes, and analytical tools.

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.

Y42 is the first fully managed Modern DataOps Cloud. It is purpose-built to help companies easily design production-ready data pipelines on top of their Google BigQuery or Snowflake cloud data warehouse. Y42 provides native integration of best-of-breed open-source data tools, comprehensive data governance, and better collaboration for data teams. With Y42, organizations enjoy increased accessibility to data and can make data-driven decisions quickly and efficiently.

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.

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.

Set up your automated data catalog in just 15 minutes, and receive column-level lineage, Entity Relationship (ER) diagram, and auto-populated documentation within 24 hours. Easily find, tag, and add documentation to your data so everyone can find the right dataset for their use case. Select Star automatically detects and displays your column-level data lineage. You can now trust the data, knowing where it came from. Select Star automatically surfaces how your company uses data. That means you can identify relevant data fields without needing to ask someone else. Select Star treats your data with AICPA SOC 2 Security, Confidentiality, and Availability standards, making sure your data is always safe and sound.

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.

Data is the backbone of effective decision-making. However, employees spend more time managing it than using it. ThinkData Works provides a robust catalog platform for discovering, managing, and sharing data from both internal and external sources. Enrichment solutions combine partner data with your existing datasets to produce uniquely valuable assets that can be shared across your entire organization. Unlock the value of your data investment by making data teams more efficient, improving project outcomes, replacing multiple existing tech solutions, and providing you with a competitive advantage.

Microsoft Purview is a unified data governance service that helps you manage and govern your on-premises, multicloud, and software-as-a-service (SaaS) data. Easily create a holistic, up-to-date map of your data landscape with automated data discovery, sensitive data classification, and end-to-end data lineage. Empower data consumers to find valuable, trustworthy data. Automated data discovery, lineage identification, and data classification across on-premises, multicloud, and SaaS sources. Unified map of your data assets and their relationships for more effective governance. Semantic search enables data discovery using business or technical terms. Insight into the location and movement of sensitive data across your hybrid data landscape. Establish the foundation for effective data usage and governance with Purview Data Map. Automate and manage metadata from hybrid sources. Classify data using built-in and custom classifiers and Microsoft Information Protection sensitivity labels.

Truedat is an open source data governance business solution tool developed by Bluetab Solutions in order to help our clients become data-driven companies. We help to define business processes, roles & responsibilities. We also help putting processes into practice. Integration and customization of truedat´s open source components to support the data governance processes. We guarantee the support and maintenance of the process & software of our solution modules installed by us. Based on our experience in, we have developed a solution that covers the need for Data Governance, allowing to manage and control highly complex and changing data architectures. The highly increasing migration of enterprise IT platforms to cloud, multi-cloud and hybrid architectures, increases the sources, complexity and types of data and therefore rises the need for truedat. Our solution comes from more than 8 years of experience in Data Governance consulting and development projects.

Simplify big data operations and build intelligent knowledge libraries with Data Lake Governance Center (DGC), a one-stop data lake operations platform that manages data design, development, integration, quality, and assets. Build an enterprise-class data lake governance platform with an easy-to-use visual interface. Streamline data lifecycle processes, utilize metrics and analytics, and ensure good governance across your enterprise. Define and monitor data standards, and get real-time alerts. Build data lakes quicker by easily setting up data integrations, models, and cleaning rules, to enable the discovery of new reliable data sources. Maximize the business value of data. With DGC, end-to-end data operations solutions can be designed for scenarios such as smart government, smart taxation, and smart campus. Gain new insights into sensitive data across your entire organization. DGC allows enterprises to define business catalogs, classifications, and terms.

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.

Castor is a data catalog designed for mass adoption across the whole company. Have an overview of all your data environment. Search for data instantly thanks to our powerful search engine. Onboard to a new data infrastructure and access data in a breeze. Go beyond your traditional data catalog. Modern data teams now have numerous data sources, build one truth. With its delightful and automated documentation experience, Castor makes it dead simple to trust data. Column-level, cross-system data lineage in minutes. Get a bird’s eye view of your data pipelines to build trust in your data. Troubleshoot data issues, perform impact analyses, comply with GDPR in one tool. Optimize performance, cost, compliance, and security for your data. Keep your data stack healthy with our automated infrastructure monitoring system.

Master Data Management And Data Governance. Plug and play adapters for oracle hyperion, onestream, anaplan, and more. The Leader in Performance Management Master Data On-Premise or Cloud Designed to include the Business User in MDM and Data Governance With built-in application intelligence, managing hierarchies and data governance in EPMware becomes a seamless process, creating dimensional consistency across all subscribing applications. With our one-click integration process, hierarchies are visualized and modeled in a request with real time data governance for error proof and audited metadata updates. Using EPMware’s workflow capabilities, metadata can be reviewed, approved and deployed to on-premise and cloud applications. No files to extract or load, no manual intervention, just a seamless and audited metadata integration, out of the box. Integration and Validation Focus EPMware includes native and pre-built integration support for the most widely used EPM and CPM technologies

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.