You're here because data is the modern super weapon that everyone wants to master. To be a data scientist, you must know how to store data before using it. That's where the data warehouse comes in. In this article, we'll talk about the best data warehouse software you can master in 2024.

Amazon Redshift

Redshift is a petabyte service Amazon offers as part of Amazon Web Services (AWS). Redshift is a relational database that integrates seamlessly with AWS reporting, data analytics, and business intelligence features. Massive data parallelism, columnar storage, and powerful big data technologies are the main reasons Redshift works so well.

Teradata Vantage

Massively parallel processing (MPP) technology is at the heart of Teradata Vantage (formerly Teradata Database), a solution that efficiently manages large volumes of data and fast access to business information. Vantage is relied on by leading organizations in industries as diverse as retail, finance, media and entertainment, and telecommunications to make critical decisions. Teradata is cloud-independent and can run on Microsoft Azure, Google Cloud, Amazon Web Services (AWS), Teradata Cloud, and customer clouds, as well as on traditional hardware with VMware virtualization software.

Synapse Analytics on Azure

Azure Synapse Analytics is a more comprehensive solution than a data warehouse to help you manage big data analytics, data warehouse management, and data integration. With Azure Synapse, teams can search data on demand and get instant access to the data and analytics they need for machine learning and business intelligence (BI). Organizations and data-driven teams choose Azure Synapse solutions because they provide a holistic view of the business and unlimited access to cross-functional data.

Google BigQuery

Google BigQuery enables the collection, management, and tracking of all types of data (structured, semi-structured, and unstructured) and is a reliable and cost-effective data warehouse solution that automates the search of large amounts of input data. With BigQuery DW tools in the cloud, researchers and data analysts can quickly and securely access and analyze data across multiple clouds.

Fivetran

Fivetran integrates data from disparate sources into a single data warehouse, providing data ownership and control over analysis and storage. The platform offers multiple data interfaces to systems such as Google BigQuery, MySQL, PostgreSQL, Amazon Redshift, Snowflake, and SQL Server. Once the data is loaded into the data warehouse, Fivetran can transform and normalize the data.

Panoply

Panoply is an intuitive solution that combines ETL and storage for fast data synchronization and archiving. Panoply is an intuitive solution that combines ETL and storage for fast data synchronization and archiving. Its low cost of ownership eliminates the need to manually scale storage on demand or keep up with API updates, and the solution can be deployed in minutes, compared to weeks or months for traditional data warehouses.

SAP Information Manager

SAP Datasphere is a best-in-class data warehouse solution based on the SAP Data Warehouse Cloud. This scalable solution is based on the high-performance in-memory resources of SAP HANA Cloud. Its modular architecture and semantic modeling capabilities enable efficient configuration and use of resources.

Conclusion

When data is heterogeneous and comes from multiple sources, it isn't easy to make sense of it. However, data can be brought together and analyzed more easily with the right data warehouse software. Use this checklist to find the best solution for your needs.