Data Warehouse Software

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Showing 1 - 20 of 34 products
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Showing 1 - 20 of 34 products

Hevo

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

4.67 (27 reviews)

1 recommendations

Solver

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)

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Zap Data Hub

ZAP Data Hub is a hybrid business intelligence solution that caters to businesses across various industry verticals that include manufacturing, retail, wholesale providers and more. The solution can either be deployed on-premise o...Read more

4.88 (4 reviews)

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Grow

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

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Funnel

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)

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Fivetran

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)

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Panoply

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)

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AtScale

AtScale is a data warehouse virtualization solution that creates a live connection between people and data without moving it, regardless of where it is stored or how it is formatted - on-premise or in the cloud - turning your data...Read more

5.00 (1 reviews)

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Measured

Measured is a cloud-based attribution & media incrementality solution that provides small to large enterprises with business intelligence tools to calculate the incremental value of marketing campaigns across multiple media channe...Read more

5.00 (10 reviews)

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Firebolt

Firebolt provides the next generation of cloud data warehouses. It delivers extreme speed and elasticity across terabytes and petabytes of data, by leveraging the latest technology stack and the most recent research in the big dat...Read more

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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

ClicData

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)

1 recommendations

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Apache Ignite

Apache Ignite is an open-source data warehousing solution designed to help businesses store data and build applications in real-time. With the in-built SQL engine, professionals can interact with the platform using API, Open Datab...Read more

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Couchbase Server

Couchbase Server is a NoSQL cloud database management system, which helps small to large businesses across manufacturing, retail, IT, energy, hospitality, finance or telecommunication sectors prepare, store, manipulate, aggregate ...Read more

4.11 (9 reviews)

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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)

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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

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Matillion

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

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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

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Y42

Y42 is the first scalable data platform that anyone can run, offering both no-code and SQL. It is designed to help eCommerce businesses merge and visualize data collected from various sources. The platform enables administrators t...Read more

4.92 (13 reviews)

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LoadSpring Cloud Platform

LoadSpring Cloud Platform is a cloud-based platform that enables businesses to utilize analytics and build BI reports for improved ROI. LoadSpring Cloud Platform helps businesses monitor cloud environments, applications and users...Read more

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Zaloni Arena DataOps Platform

Zaloni is a DataOps platform that covers a range of cloud data sources. As an AWS Advanced Technology Partner, the software primarily integrates with AWS services, including Amazon S3 and AWS Glue. Its key benefits include data go...Read more

4.33 (3 reviews)

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Popular Data Warehouse Software Comparisons

Buyers Guide

Last Updated: March 11, 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.
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  • Your business is growing and so is your data, making it difficult for you to handle the numerous reports each day.
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  • 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.
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  • Indexes the data warehouse so that you can reference the data when needed.
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  • 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.
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  • It eliminates having to manually combine data from different sources, which is time-consuming and prone to human error.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • Rows of data. Some cloud-based and on-premise products charge you for the number of rows or entries in the database.
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  • 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).
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  • 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.