SQL Server
Oracle
MySQL
PostgreSQL
Amazon Redshift
Azure SQL Database
DBT
Google Big Query
IBM DB2
MariaDB
SAP HANA
Snowflake
SQLite
Teradata
Vertica
Data intelligence tools for Amazon Redshift
Data intelligence tools refer to the artificial intelligence and machine learning tools used by companies in order to analyze and transform data into information that is valuable and relevant for improving the company's operations.
Global IDs
The Global IDs Data Catalog automates the linking of logical business data models to physical data assets, keeps the metadata up to date, and scales with the size of your enterprise, from small to very large.
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Tree Schema
The Tree Schema data catalog provides all of the essential catalog capabilities including rich-text documentation, data lineage, assigning data stewards and technical owners to your data assets, tagging your assets and much more. You can point Tree Schema to your database and fully populate your catalog in under 5 minutes. Tree Schema also supports non-traditional data sources including S3, Kafka and DynamoDB.
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Atlan
Atlan is a modern, cloud native data catalog. It's ease of use and intuitive interface enables diverse personas including engineers, data stewards and business users to discover, understand and trust data. Atlan leverages machine learning and a bots ecosystem to automate documentation and stewardship tasks such as automatic data profiling, data quality alerts and glossary tagging. It is built on an Open API architecture, and has a pay as you go pricing model, making it a good fit for teams of all sizes.
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Stemma
Stemma is a fully managed data catalog, powered by the leading open-source data catalog, Amundsen. By bridging the gap between data producers and data consumers, Stemma enables you to gain total trust in your data. Stemma provides enterprise management (easy deployment, enterprise-grade security) and richer metadata. It makes finding trustworthy data easy and offers an always up-to-date view of your data's usage at any time through automated documentation based on common usage patterns.
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The use of data intelligence tools improves the understanding of data and leads to better decision making in the future. There are other, various benefits that data intelligence tools can bring into the company. Some of them are:
• Providing correct context for datasets.
• Improving data quality.
• Increasing data accessibility.
In an evolving world of technology, data intelligence is crucial for the company's growth. It can help understand consumer preferences as well as a company's investment and its effectiveness. Through data analysis the company can view which areas can be optimized and present approaches that might be more beneficial for the future.
To help you find the right tool for your organization, we have put together this list of best data intelligence tools.