Analytics Insight has listed the top 10 data catalog software and tools based on their data management performance
Today, data is increasingly becoming invaluable. It is standing as the foremost competitive battleground of our time. Therefore, winners prioritize giving employees the most accurate, clear and fast answers to every business questions based on datasets. This has opened door to data catalog vendors and providers taking over the job of making data ready-to-use. A data catalog is an organised format of the data assets that are built and maintained through data governance. In laymen terms, a data catalog is a metadata management tool that companies use for inventory and organise the data within their systems. Data Catalog software and tools are created to handle critical data management issues. The solution helps organisations find what data they have and what they don’t, and where the collected data has originated. Analytics Insight has listed top 10 data catalog software and tools based on their performance.
Top 10 data catalog software and tools to enhance data usage
Solution: Aginity Pro
Aginity provides the world’s only integrated analytics management tools powering collaboration between data engineers and business analysts. Aginity Pro, the data catalog tool has best SQL analysis software for more productive tasks. It helps companies to create, catalog and manage analytics. Developers also get the facility to put a title, description and other metadata around their code, so that it becomes easy to understand the intent and context of what the code is trying to do. All the analytic code can be shared with others by providing either view or edit access.
Solution: Alation Data Catalog
Alation offers machine learning data catalog to help people find, understand and trust data across their organizations. The company is passionate about helping enterprises create thriving data cultures where anyone can deal with data wisely. Alation has pioneered the modern data catalog and is now leading its evolution into a platform for data intelligence. Some of the key features of the Alation Data Catalog include behavioural intelligence, seamless collaboration, guided navigation, data governance capabilities, and connection to popular big data and BI tools, as well as APIs and an Open Connector SDK.
Solution: Collibra Data Catalog
Collibra is a data intelligence company that accelerates trusted business outcomes by connecting the right data, insights and algorithms to all data citizens. Collibra Data Catalog empowers business users to quickly discover and understand data that matters, so they can generate impactful insights that drive business value. The tool also ensures that data citizens always have access to the most trusted data available.
Solution: Talend Data Catalog
Talend is an open-source platform that offers data integration and data management solutions. Talend Data Catalog gives users a single, secure point of control over their 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 user’s data, govern their analytics, manage data pipelines and accelerate ETL processes.
Solution: Alteryx Data Cataloging
Alteryx is a leading platform of analytic process automation movement that unifies analytics, data science and business process automation in one easy-to-use solution to accelerate digital transformation. Alteryx’s Data Cataloging solution centralizes business terms and definitions, metrics, and information assets for maximum consistency, discoverability, and collaboration. The software cuts the time spent on searching for data across the organization.
Solution: Data.world Data Catalog
Data.world facilitates everyone to get clear, accurate data that leverages fast answers to any business questions. The platform’s cloud-native data catalog maps uses siloed, distributed data to familiar and consistent business concepts, creating a unified body of knowledge anyone can find, understand and use. The catalog offers contextual data cataloguing that includes metadata, dashboards, analysis, code, docs, project management and social collaboration capabilities.
Solution: Anzo Catalog
Cambridge Semantics Inc. is an enterprise Big Data Management and Exploratory Analytics software company. Cambridge Semantic’s data catalog solution named Anzo Catalog provides a newer, smarter approach to the data catalog by leveraging graph models encoding a Semantic Layer that describes the data in its business context, while capturing all types of disparate data, spanning all enterprise data sources and datasets.
Solution: Denodo Data Catalog
Denodo is the leader in data visualization providing data access, governance and delivery capabilities across the broadcast range of enterprise, cloud, big data and unstructured data sources without moving the data from their original repositioners. The Denodo Data Catalog is a software distributed as a web application and included as part of the Denodo 7.0. It is developed for data analysts, business users and application developers searching and browsing capabilities of data and metadata in a business-friendly manner for self-service exploration and analytics.
Solution: Active Data Catalog
Immuta provides a cloud-native data governance platform from organizations to automate data access control, security and privacy compliance. Immuta’s Active Data Catalog is built on a strong security foundation with always-on governance and across the control. Users can provision democratized, self-service user access to any data, even the most sensitive while eliminating cumbersome approval workflows.
Solution: Erwin Data Catalog
Erwin has been working with global enterprises and government agencies to deploy their complex data sources for more than thirty years. Erwin Data Catalog automates enterprise metadata management, data mapping, code generation and data lineage for data management and integration and modernization of the architecture. The solution harvests metadata from a broad variety of data sources and maps data elements from source to target, including ‘data in motion.’ while harvesting data integration across platforms.
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