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Many organizations are dealing with an increase in data sprawl across multiple databases and other repositories in on-premises systems, cloud services, and IoT infrastructure. This complicates data management, and BI and data analytics initiatives are less effective if data scientists, other data analysts, and business users can't find and understand relevant data. In this article, we have explained the top 10 data catalog software tools to build and manage your data catalogs.
Alation is one of the best data catalog software which was founded in 2012, and its first products were released in 2015. AI, machine learning, automation, and natural language processing techniques are used in the company's flagship data catalog software to simplify data discovery, automatically create business glossaries, and power its core Behavioral Analysis Engine, which analyses data usage patterns to streamline data stewardship, data governance, and query optimization.
Ataccama, is one of the best data software tools which was founded in 2008, provides a data catalog tool as a core component of Ataccama One, a consolidated platform that supports data governance and management functions that are automated using artificial intelligence. Ataccama Data Catalog can catalog data from databases, data lakes, file systems, and other sources, and it includes connectors for numerous popular on-premises and cloud data platforms.
Alex Solutions, founded in 2016, is a newer data catalog and metadata management provider. The company designed its data catalog software to benefit from AI and machine learning techniques. Alex Augmented Data Catalog automates the process of discovering data assets and bringing them into a consolidated catalog, with support for structured, semi-structured, and unstructured data. In addition, the tool includes a set of collaboration features for things like data sharing and curation.
AWS Glue Data Catalog is the persistent metadata store in AWS Glue, an AWS-provided fully managed extract, transform, and load (ETL) service. When creating data warehouses or data lakes on the AWS cloud platform, data management teams can use the data catalog to store, annotate, and share metadata for use in ETL integration jobs. It has similar functionality and is compatible with the Apache Hive meta store repository, a popular open-source data warehouse tool. Organizations can also use the AWS data catalog as an external meta store for Hive data in some cases.
Atlan is one of the newest data catalog vendors, having launched its tool in 2018. It bills the product as a third-generation data catalog, with design cues from GitHub, Slack, and other end-user tools. Atlan Data Discovery & Catalog, in particular, is designed to facilitate easy collaboration by seamlessly integrating common data workflows.
Collibra was founded in 2008 and provides a Data Intelligence Cloud platform centered on the Collibra Data Catalog. Its data catalog capabilities include a comprehensive set of automated features for data discovery and classification using a proprietary machine-learning algorithm; data curation, which is also powered by machine learning; and data lineage. The data catalog tool also supports graph-based metadata management techniques.
Data. the world is a cloud-native data catalog tool provided as a SaaS platform by the same vendor. The company, founded in 2015, claims to release over 1,000 individual product updates per year. It is well-known for its knowledge graph approach, which provides a semantically organized view of enterprise data assets and the metadata associated with them across disparate systems. This is intended to make it easier for business and analytics users to find and understand relevant data.
Boomi Data Catalog and Preparation is a component of the company's AtomSphere Platform, which includes tools for data integration, master data management, and other functions. It incorporates a data catalog as well as data preparation capabilities: Companies can use the catalog to create a consolidated business glossary of metadata to track data sets, processing jobs, and workflow schedules, and then run a data prep recommendation engine to automatically cleanse, enrich, normalize, and transform data.
The first Erwin software was created in 1983 for data modeling; the product line has since been acquired several times and is now owned by Quest Software. It has also evolved to support new capabilities, such as this data catalog tool, which was created as part of a larger platform launched in 2017 to support various aspects of data governance.
Google Cloud Data Catalog is a fully managed data discovery and metadata management service that works with on-premises and cloud data sources. It is intended to allow data professionals as well as business users to search a catalog using natural language queries and tag data at scale. The tool includes built-in integrations with Google's data services BigQuery, Pub/Sub, Dataproc Metastore, and Cloud Storage. It is also integrated with the company's IAM and Cloud Data Loss Prevention services to help with data security and compliance as part of data governance initiatives.
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