Data Warehouse Software

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Showing 1 - 20 of 38 products
Showing 1 - 20 of 38 products


Domo transforms business by putting data to work for everyone. Domo’s low-code data app platform goes beyond traditional business intelligence and analytics to enable anyone to create data apps to power any action in their busines...Read more

4.23 (195 reviews)

9 recommendations

Mozart Data

Mozart Data is the quickest and easiest way to set up a modern data stack. We provide a single platform to gather all your data in a data warehouse and prepare it for analysis. Instead of spending months and thousands of dollars...Read more

5.00 (3 reviews)

6 recommendations


ClicData is a business intelligence (BI) dashboard solution designed for use primarily by small and midsized businesses. The tool enables end users to create reports and dashboards. A drag-and-drop interface designed for ease...Read more

4.61 (134 reviews)

4 recommendations



Hevo is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. It helps data teams streamline and automate org-wide data flows that result in a saving of ~10 hours of engineeri...Read more

4.68 (37 reviews)

1 recommendations

Google Cloud Platform

Featuring G-Suite and GCP, Google Cloud is a platform that provides a reliable and easy-to-use set of solutions that can be used to tackle the toughest challenges in any type of industry. It provides secure storage options, integr...Read more


Oracle Database

Oracle Database Cloud is a database-as-a-service solution that helps businesses manage data through automated self-patch, backup, recovery, warehousing and more. It utilizes machine learning to automate recurring tasks and lets us...Read more



Grow is a cloud-based, business analytics and reporting solution suitable for small to midsize organizations. The solution allows users to create customizable dashboards for monitoring business workflows and key activities. Grow...Read more



Matillion is an extract, transform, load (ETL) solution for cloud data warehouses such as Amazon Redshift, Google BigQuery and Snowflake. The centralized platform enables users to automatically schedule orchestration jobs and proj...Read more



STRATWs ONE is a cloud-based solution that provides businesses with tools to manage projects and track organizational performance on a centralized platform. Professionals can create action plans, monitor the due dates of tasks and...Read more

4.49 (93 reviews)



Solver is a hybrid corporate performance management (CPM) solution based on the Microsoft platform. It caters to businesses of all sizes across various industry verticals. Key features include reporting, budgeting, dashboards and ...Read more

4.43 (74 reviews)

Software pricing tips

Read our Data Warehouse Software Buyers Guide

Subscription models

  • Per employee/per month: This model allows you to pay a monthly fee for each of your employees.
  • Per user/per month: Users pay a monthly fee for users—normally administrative users—rather than all employees.

Perpetual license

  • This involves paying an upfront sum for the license to own the software and use it indefinitely.
  • This is the more traditional model and is most common with on-premise applications and with larger businesses.

Rated best value for money


Ensure customers find your most valuable digital content with 24/7 website monitoring from ContentKing, now part of the #1 enterprise organic marketing platform from Conductor. Website changes happen, and they happen fast. That...Read more

4.85 (74 reviews)



Supermetrics is a reporting solution that helps small to large businesses to transfer marketing data on external reporting, analytics, storage and data visualization platforms, such as Google Sheets, Excel, DataStudio, BigQuery an...Read more

4.23 (57 reviews)


IBM Db2 is an AI-enabled hybrid data management suite, which helps organizations manage both structured and unstructured data across cloud and on-premise environments. Features include data encryption, uptime monitoring, automated...Read more

4.44 (45 reviews)



Teradata Database enables users to utilize wearables and personal medical devices to analyze patient heart rate or activity data to understand medication compliance, then alert patients with feedback. The workload management solut...Read more

4.30 (23 reviews)



Adverity is a business intelligence (BI) solution that helps brands and agencies to connect and manage their data sources in a single platform. Adverity comprises three modules: Adverity Datatap, Adverity Insights and Adverity Pre...Read more

4.50 (22 reviews)


Talend Data Fabric

Talend Data Fabric is a cloud-based data integration platform that helps organizations in finance, retail, telecommunications and other industries collect, manage and transform business data. The platform enables IT teams to acces...Read more

4.19 (21 reviews)



Panoply is a cloud data platform that helps businesses source, store and manage data from various applications to streamline data analysis processes. Professionals can track the status of data sync as ‘running’, ‘pending’ or ‘sche...Read more

4.05 (20 reviews)



Funnel Dashboards & Reports is a cloud-based marketing analytics and reporting software for online advertisers and e-commerce companies. The software automatically collects data from all advertising platforms and allows marketers ...Read more

4.69 (16 reviews)


Relational Junction

If your company is struggling to create a cohesive view of your data to make critical business decisions, you found the solution! Sesame Software's data management platform, Relational Junction, seamlessly connects data, no matter...Read more

4.31 (16 reviews)


Fivetran is a cloud-based business intelligence solution which caters to needs of analysts, data engineers and business intelligence teams. The solution is HIPAA compliant and provides connectors to pull data from multiple sources...Read more

4.64 (14 reviews)

Popular Data Warehouse Software Comparisons

Buyers Guide

Last Updated: May 17, 2022

Do the following situations sound familiar?

  • Your business uses many applications, which makes it difficult to combine the data from all these varied software.
  • Your business is growing and so is your data, making it difficult for you to handle the numerous reports each day.
  • You've spotted errors in recent reports and are starting to doubt the accuracy of your current reporting methods.

These are among the many challenges that small businesses face when managing data.

So, how can I overcome these data management challenges?

One option is to hire more people to manage the increasing volume of data. But this is expensive and there are still chances of human error. The easier alternative is to use data warehouse software. It integrates data from multiple data sources and reduces the processing time for reports and queries.

With data warehouse software, small businesses can significantly improve the accuracy of their business reports and the speed of creating them. It ensures that reports are available instantly, which is essential for quick, informed decision making.

We created this buyer's guide to help you select the right software for your business. The guide offers you all the vital information you need before purchasing a solution.

Here's what we'll cover:

What Is Data Warehouse Software?
Common Features of Data Warehouse Software
What Type of Buyer Are You?
Benefits of Data Warehouse Software
Key Considerations
Pricing and Purchasing Options
Market Trends to Understand

What Is Data Warehouse Software?

It is a database management solution built for business intelligence (BI) applications. The software speeds up the reporting process by storing data using methods that optimize data usage later. It performs the following functions:

  • Combines operational data from multiple sources such as spreadsheets, websites and social media accounts.
  • Indexes the data warehouse so that you can reference the data when needed.
  • Creates data models that improve the speed of query processing.
Data warehouse architecture in Dimodelo

Data warehouse architecture in Dimodelo (Source)

Common Features of Data Warehouse Software

To get the best results from the software, make sure that it offers features relevant to your business. The following table lists the basic features of data warehouse management solutions. You should identify the relevant features so that you're able to shortlist solutions that offer these features.

Data integration Combines data from different sources and stores it in a central location.
Extract, transform and load (ETL) Refers to the process of loading data from different sources into the warehouse. It involves a series of data operations and instructions that designate the location for all the stored data.
Data modeling Creates "data cubes" from the raw data in the warehouse. Data cubes equip the data warehouse with a pre-calculated dataset, which reduces the number of calculations and the time needed to process reports.
Standard SQL support Lets you run SQL queries on the data stored in the warehouse.
Analytics/Built-in reports Allows you to create customizable reports based on the data fields in the warehouse.
Machine learning support Runs machine learning algorithms on the warehouse data to perform predictive analytics and forecasting.

What Type of Buyer Are You?

We've classified data warehouse software buyers into two categories:

Small businesses. This category includes small business owners and team managers. These buyers have limited technical expertise and need to build a simple application infrastructure. They need a solution that's easy to deploy, learn and use. It should also help them scale-up without the help of consultants and IT experts.

IT users in enterprises. These buyers usually come from midsize and large businesses. They have many business apps such as CRM and HR software, and as a result, in-house IT staff to manage these different applications. They need a solution that integrates with all the key software being used in their business.

Before starting your search for data warehouse solutions, identify your category so that you can shortlist suitable solutions. You can also contact Software Advice on (855) 998-8505 and speak to an advisor to get relevant suggestions.

Benefits of Data Warehouse Software

If you are a small business that's struggling with your report creation process, this software will ease your workload and speed-up your reporting process. Here are the other key benefits of using a data warehouse solution:

  • It serves as a central repository of all your business data. It ensures that the raw data is accessible in one place. Also, only authorized employees are able to access the reports.
  • It eliminates having to manually combine data from different sources, which is time-consuming and prone to human error.
  • It employs data models that make the analysis engine faster, helping you create reports quickly and accurately.

Key Considerations

The primary benefit of data warehouse software is that it makes your processes more efficient. But it depends on choosing the right vendor. To avoid purchasing the wrong solution and wasting your resources, review these key considerations. These will help you select the right solution for your business.

  • Ease of scalability. As your business grows, you will need more storage and processing capabilities. Invest in a data warehouse management solution that lets you scale-up easily, based on your growing data needs.
  • Focus on data security. The software is a repository of your critical business data, which makes it susceptible to hacking. To protect your data from potential breaches, ensure that the solution has data encryption and other data security protocols.
  • Integration with existing BI infrastructure. If you use a BI or data visualization solution, make sure that your data warehouse solution integrates seamlessly with these tools.

Pricing and Purchasing Options

Due to various factors, the pricing of data warehouse software is more complex than that of other types of BI software. Cloud-based and on-premise solutions have different charges. Therefore, consider all of the following factors when estimating the total cost of data warehouse software:

  • Number of data integrations. The number of data sources (i.e., data integrations) is a key pricing for many data warehousing solutions. A higher number of data connections means that the vendor needs to offer greater technical complexity, based on which they will charge you.
  • Data storage capacity. Most cloud-based data warehousing solutions charge based on the data storage volume. Storing data on the cloud is usually priced as per GB, which reflects in the overall pricing of the data warehousing solution. If you use an on-premise system, you may have to purchase your own servers and data storage devices. However, these costs will not reflect in your license pricing.
  • Rows of data. Some cloud-based and on-premise products charge you for the number of rows or entries in the database.
  • Computing ability. Some cloud-based data warehousing solutions (such as Amazon Redshift) may charge you based on the computing ability. It's measured as gigabytes per second (GBPS) or terabytes per second (TBPS).
  • Deployment regions. Due to regional differences in pricing, cloud-based data warehousing solutions may charge differently for data stored in the U.S. or other countries. If your businesses has an international presence, you should keep this in mind when estimating the total cost of ownership (TCO).

Market Trends to Understand

To stay competitive, you should be aware of the recent market trends. You should also make sure that your shortlisted vendor is building new features to incorporate these market trends. Here are the two primary trends in data warehousing software industry:

Machine learning to optimize query loads.

Machine learning improves the speed of query processing in a data warehouse solution. For instance, Amazon Redshift uses machine learning algorithms to estimate the run time of incoming queries. This allows it to perform smart query allocation for each queue, thereby optimizing the run-time of a query. We expect this functionality to become a core software feature by 2022.

IoT to drive up adoption. Managing enormous data volumes and analytics are the biggest challenges in the Internet of things (IoT). Data warehouse software employs data models that allow faster analytics of IoT data. The increasing demand for IoT among small businesses will fuel the demand for data warehousing software by 2023.