Top 10 Data Warehouse Software Options for 2022

Published on
30/08/2022 12:45 PM

As the demand for data in the business landscape continues to grow, data management and storage solutions are becoming a table-stakes investment. Data warehouse software is a central component of the intelligence ecosystem in a modern company. These tools allow organisations to effectively store, aggregate, retrieve and leverage data from various sources at scale.

With data warehouses, companies can do a lot more than simply manage their information more effectively. The right tools can also open the door for new opportunities in analytics and reporting. The challenge is finding the best software for your business. 

Today, we’re looking at some of the most valuable data warehousing solutions available to modern brands, and the features that make these tools stand out.

Dremio

Dremio aims to take the data warehouse landscape to the next level, with easy and open “data lake” technology. The impressive “Lakehouse” platform comes with an intuitive UI to empower companies seeking quick and scalable data analytics. You can access in-built connectors for a range of databases, so it’s easier to align your information from multiple environments. 

The open technology is also based on community-driven standards like Apache Arrow and Iceberg, so companies can leverage best-in-class processing without vendor lock-in. Dremio even offers automation tools so you can create custom data workflows without the hassle. For scalability, speed and freedom, Dremio is an excellent choice.

 

Panoply

Combining managed ELT with cloud data warehousing, Panoply ensures companies can rapidly take advantage of their insights on a scalable platform. The solution can connect with all data sources quickly and easily, with no complicated code, thanks to built-in connectors. What’s more, you can choose to store your raw data in fantastic analysis-ready tables and graphs.

The Panoply ecosystem is customisable to suit different business needs. You can create your own core business logic to ensure consistent metrics and tracking. Plus, the platform comes with access to various dashboards and BI tools so you can make the most of your information. Panoply combines simple functionality with affordable pricing and secure reliability for data warehousing.

 

Oracle

Oracle’s “Autonomous Database” for warehousing capabilities is an award-winning tool for managing business information. The solution comes with access to Database in-memory functionality for faster processing of sophisticated analytics requests. There’s also a convenient user interface where employees can track all trends and data patterns in one place, then set up automations based on their data findings. As your warehouse grows, you can leverage data partitioning to improve the performance, availability, and manageability of data flows. 

Oracle even offers phenomenal Automatic Data Optimisation, so companies can create policies for better data movement and smart compression. Plus, companies gain access to dozens of additional Oracle technology functions for machine learning, and analytics. 

 

IBM DB2

DB2 Warehouse on Cloud is IBM’s solution for fully-managed, elastic, and scalable data warehousing. Named a leader in the Gartner Magic Quadrant 2020 for Database management, this technology helps companies to modernize their data strategy with in-memory processing and dynamic data analytics. You can even automate daily tasks like monitoring, uptime checks and backups in the same environment where you store your data. 

The highly flexible cloud environment offered by IBM makes it easy to scale your warehouse as your business grows, with endless opportunities for AI discoveries. There’s also fantastic customer service and support to guide you through the process of enhancing your workflows. DB2 even comes with advanced security and privacy features.

 

Snowflake

The Cloud Data Platform from Snowflake provides businesses with a flexible, cloud-based data warehouse built on SQL. Designed with state-of-the-art architecture, the solution can handle all kinds of data and analytics use cases, with high performance and simplicity at every level. Snowflake also physically separates and logically integrates storage, services, and compute solutions. 

With a central persisted data repository, users can access Snowflake functionality from all computer nodes. The technology also processes queries with MPP, to help reduce the risk of redundancies. Snowflake can even serve as a data lake and warehouse at the same time. Plus, the solution integrates well with major solutions from Azure, Amazon, and other cloud providers.

 

Teradata Database

Teradata Database is a comprehensive multi-cloud platform built to help businesses use their information more intelligently from any source. The scalable ecosystem uses parallel operations to enhance efficiency and performance, and integrates well with cloud systems from AWS, Azure, Google, and more. Thanks to built-in AI solutions you can also leverage in-depth analytics within your data warehouse environment.

With geospatial abilities, the Teradata database can organise information according to global proximity. The solution will also automatically track data history, and allows users to add time constraints to certain queries, so you can develop more specific insights. 

 

Google BigQuery

One of the better-known data warehousing solutions in the market today, BigQuery from Google provides serverless and cost-effective data management. The powerful platform supports business leaders in democratizing insights with a secure platform equipped with machine learning. You can connect data from across multiple clouds, and run analytics with an up to 27% lower TCO than alternative solutions. 

BigQuery comes packaged with fantastic security and privacy tools, as well as a high uptime SLA of 99.99%. You’ll also get fantastic overviews into your data with up-to-date analytics and predictive insights. Team members can even access BigQuery ML for predictive modelling and machine learning app creation.

 

Informatica

Committed to powering a new generation of cloud data innovation, Informatica makes it easy to ingest, integrate, and even cleanse data. The Intelligent Data Management Cloud comes with access to a host of great features, including analytics and AI tools, data governance and privacy frameworks and application integration. 

Informatica can offer specialist services to suit companies collecting data in regulated industries. There’s also a fantastic user interface where business leaders can get a single view of all of their data insights in one convenient environment. The end-to-end platform also comes integrated with in-depth AI solutions for automation.

 

Databricks Lakehouse

One of the better-known companies in the data management landscape, Databricks promises a simple way for companies to access all the benefits of data warehousing. The Databricks “Lakehouse” platform unifies the best features of data lakes and warehouses in one environment. This ensures you get everything you need to handle AI use cases, analytics, and information in one open space. 

The solution is built on a reliable and flexible foundation capable of handling all data types with ease. What’s more, the technology applies consistent governance and security measures across all of your data and cloud platforms. Companies benefit from endless scalability, as well as a convenient environment for streamlining data ingestion and management.

 

Amazon RedShift

One of the most widely-used data warehouses in the world, Amazon Redshift supports companies in breaking down data silos and developing valuable insights. You can get predictive and immediate overviews of all of your information in a couple of clicks, without significant expenses. There’s also access to RedShift specialists to help guide you through using your technology.

Amazon RedShift leverages SQL technology to analyse semi-structured and structured data across operational databases and data lakes, with phenomenal AWS hardware and machine learning. You can collaborate on shared data, and build powerful reports using Tableau, Amazon QuickSight, Microsoft PowerBI, and other common tools.