Best Data Catalog Software for Google Cloud Platform

OvalEdge, a cost-effective data catalogue, is designed to provide end-to-end data governance and privacy compliance. It also provides fast, reliable analytics. OvalEdge crawls the databases, BI platforms and data lakes of your organization to create an easy-to use, smart inventory. Analysts can quickly discover data and provide powerful insights using OvalEdge. OvalEdge's extensive functionality allows users to improve data access, data literacy and data quality.

Secure and manage the data lifecycle, from Edge to AI in any cloud or data centre. Operates on all major public clouds as well as the private cloud with a public experience everywhere. Integrates data management and analytics experiences across the entire data lifecycle. All environments are covered by security, compliance, migration, metadata management. Open source, extensible, and open to multiple data stores. Self-service analytics that is faster, safer, and easier to use. Self-service access to multi-function, integrated analytics on centrally managed business data. This allows for consistent experiences anywhere, whether it is in the cloud or hybrid. You can enjoy consistent data security, governance and lineage as well as deploying the cloud analytics services that business users need. This eliminates the need for shadow IT solutions.

The new world of data means that you can spend more time looking at data than you are analyzing it. Azure Data Catalog is an enterprise-wide data catalog that makes data asset discovery easy. It is a fully managed service that allows you, from analyst to data scientist, to use it to register, enrich, discover and understand data sources. You can work with data using the tool you prefer. Data Catalog allows you to find the data you need, and you can use it in any tool you choose. Data Catalog ensures that your data is always available. It makes it easy to find and use the data you need, and provides an intuitive user interface. Increase adoption and continuous value generation across your data ecosystem. Data Catalog provides tips, tricks, as well as unwritten rules that can be used to create an environment where everyone can benefit. Data Catalog makes it possible for everyone to contribute. Democratize data asset discovery.

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

Fully managed and highly scalable metadata and data discovery service. New customers receive $300 in Google Cloud credits for free during the Free Trial. All customers receive up to 1 MiB business or ingested meta data storage and 1,000,000 API calls free of charge. A simple, but powerful faceted search interface allows you to pinpoint your data. Automatically sync technical metadata and create schematized tags to support business metadata. Cloud Data Loss Prevention integration allows you to automatically tag sensitive data. Access your data immediately and scale without the need to manage or set up infrastructure. With a powerful UI built with the same search technology that Gmail or API access, empower any member of the team to find and tag data. Data Catalog is fully managed so that you can easily start and scale. Cloud IAM integrations and Cloud DLP integrations allow you to enforce data security policies and ensure compliance.

Data intelligence can transform data chaos into data value. Disjointed data assets can be connected, discovered, enriched, and orchestrated to provide actionable business insights at an enterprise scale. SAP Data Intelligence provides a comprehensive data management solution. It is the data orchestration layer within SAP's Business Technology Platform. It transforms distributed data into vital data insights and delivers innovation at scale. Integrate across the IT landscape to provide intelligent, relevant and contextual insights for your users. Integrate and orchestrate large data volumes and streams at scale. Machine learning enables you to streamline, operationalize, manage, and govern innovation. Comprehensive metadata management rules optimize governance and reduce compliance risk. Disjointed data assets can be connected, discovered, enriched, and orchestrated to provide actionable business insights at enterprise level.

Tableau Catalog is a benefit for everyone. Tableau Catalog provides a complete view of the data and how it connects to the analytics in Tableau. This increases trust and discoverability for IT and business users. Tableau Catalog makes it easy to communicate changes to the data, review dashboards, or search for the right data for analysis. Tableau Catalog automatically ingests all data assets in your Tableau environment into a single central list. There is no need to create an index schedule or connect. You can quickly see all of your files, tables, and databases in one location. Migration of databases, deprecating fields or adding a column to a table can all have potential impacts on your environment. Lineage and impact analysis allows you to see not only the upstream and downstream implications of assets but also who will be affected.

Datafi is a platform that provides a unified data environment for business teams. It integrates data silos, unifies data security, and enables self-service workflows to meet the unique needs of business users who want to find, use, or share the information they need. Datafi is used by customers to increase their organization's data capabilities, and empower more employees to make better and faster data-driven decision. Datafi makes data easily accessible and meaningful to everyone. Know how your data will be accessed and used. Data-forward companies know how important it is to enable their data to drive business outcomes. This starts with enabling easy and secure data access. Data-driven insights can lead to new business outcomes. Organizations that improve their data literacy will be more likely to discover these data-driven insights.

The Databricks Data Intelligence Platform enables your entire organization to utilize data and AI. It is built on a lakehouse that provides an open, unified platform for all data and governance. It's powered by a Data Intelligence Engine, which understands the uniqueness in your data. Data and AI companies will win in every industry. Databricks can help you achieve your data and AI goals faster and easier. Databricks combines the benefits of a lakehouse with generative AI to power a Data Intelligence Engine which understands the unique semantics in your data. The Databricks Platform can then optimize performance and manage infrastructure according to the unique needs of your business. The Data Intelligence Engine speaks your organization's native language, making it easy to search for and discover new data. It is just like asking a colleague a question.

You can scan and index metadata, discover and profile information, and provide detailed lineage across tens to millions of data sets. To maximize data reuse and data value, classify and organize data assets in any environment. Automate scanning across multiple cloud platforms, BI tools and ETL tools; and data types. AI-powered domain discovery, data similarities, business term associations, recommendations, and recommendation making are possible. You can track data movement from high-level system views through to fine column-level lineage and get detailed impact analysis. The Data Asset Analytics dashboard allows you to see asset usage, enrichment, collaboration. You can view data quality rules, scorecards and metric groups in context. You can tap into shared data knowledge through certifications, ratings, reviews, a Q&A forum, and change notifications. Informatica stands out from the rest with its extensive range of enterprise-grade data management products.

The core technology that enables modern data integration and data management. Connect disparate, structured and unstructured data sources quickly. Catalog your entire data ecosystem. The data is kept in the source and can be accessed whenever needed. Adapt data models to the consumer's needs, even if they come from multiple sources. Your back-end technologies can be hidden from end users. You can secure the virtual model and use it to consume standard SQL and other formats such as SOAP, REST, SOAP, and OData. Access to all types data is easy. Data integration and data modeling capabilities are available. Active Data Catalog and self service capabilities for data and metadata discovery and preparation. Full data security and governance capabilities. Data queries executed quickly and intelligently. Real-time data delivery in all formats. Data marketplaces can be created. Data-driven strategies can be made easier by separating business applications and data systems.

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

The Alex Platform is your company's single source for data and business truth. Alex is the foundation of our customers' data-driven success. Alex is designed to reduce complexity and create value from the first day of implementation. Alex Augmented Data Catalog uses the best machine learning in the industry to quickly provide an enterprise-wide, unified data platform. Alex Data Lineage can help you understand and map your data flows, no matter how complex or complicated your technical landscape. Global teams require global coordination. The Alex Intelligent Business Glossary's beautiful interface and rich functionality are ideal for global collaboration. Unifying all definitions, policies and metrics to reduce complexity in multi-cloud environments and global enterprises will help you to manage the complexity. Global data governance programs can be powered.

For your analysis and modeling, discover and trust data. Breaking down silos can help you be more productive. See how others are using the data to get context. A simple text search can be used to find data within your organization. A PageRank-inspired search algorithm suggests results based upon names, descriptions, tags and querying/viewing activity at the table/dashboard. Automated and curated metadata, descriptions and columns of tables and columns, other frequent users, the date the table was last updated, statistics and a preview of data, can help build trust in data. Easy triage by linking ETL job and the code that generated the data. Update tables and columns with descriptions to reduce back-and-forth about which table to use or what a column contains. Find out what data coworkers use, own, or have saved. You can see dashboards created on a table to show you the most common queries.

Kyrah allows enterprise data management across your cloud estate, data exploration and storage assets grouping. It also enforces security policies and permits management. With its fully automated and configurable change request mechanism, all changes are transparent, secure, and GDPR-compliant. It also provides full suitability of all events via activity log. It combines seamless self-service data provisioning and shopping cart style checkout. It is a single pane for all your enterprise data estate. It allows for faster time to market by unifying people and processes, and data provisioning in one platform and user interface. It provides a single window for organizations to view their data landscape, including data use heatmaps and data sensitivity. It allows organizations to enforce data compliance and avoid potential fines.

Automate the automatic coverage of thousands of tables using ML-based anomaly detection. 50+ custom metrics are also available. Monitoring of metadata and data. Comprehensive mapping of all dependencies between assets from ingestion to reporting. Collaboration between data consumers and data engineers is enhanced and productivity is increased. Sifflet integrates seamlessly with your data sources and preferred tools. It can run on AWS and Google Cloud Platform as well as Microsoft Azure. Keep an eye on your data's health and notify the team if quality criteria are not being met. In a matter of seconds, you can set up the basic coverage of all your tables. You can set the frequency, criticality, and even custom notifications. Use ML-based rules for any anomaly in your data. There is no need to create a new configuration. Each rule is unique because it learns from historical data as well as user feedback. A library of 50+ templates can be used to complement the automated rules.

Integrate your entire data catalog into the marketplace with just one click. Scale your entire data business with ease using a single platform. Put your data in the spotlight to reach data buyers on all channels. Create a consistent data catalog using automated data samples and data dictionary. Publish your catalog on your website to showcase your product and attract potential customers. With a single click, sync your data products with multiple data marketplaces or data catalogs. Manage all incoming data demand in one central inbox to boost your data sales pipeline. Share data previews on marketplaces, and track who is viewing your sample data. Understanding how your data products are performing across channels, in terms of visibility and converting. Our software subscription plans were designed for data providers, from startups to IPOs. We make it easy for data buyers to discover your data offering.