Data analysis thrives on information. In this data-driven world, data aggregation emerges as a fundamental process, empowering businesses to unlock valuable insights and make informed decisions.

In this tutorial, we will identify top data aggregation tools.

What Is Data Aggregation?

Data aggregation refers to the process of combining many data sets in a concise and summarized manner. Data transformation encompasses the use of diverse mathematical, statistical, or computational procedures to convert unprocessed data into consolidated metrics or valuable insights.

This procedure often entails effectively managing large volumes of data, working with various data formats, and resolving data quality concerns.

Types of Data Aggregators

Data aggregators can be primarily classified into two types based on how they collect and organize data:

• Time-based aggregation: This method implies collation of all data points for a single source within the stipulated period. For example, such as the traffic to a particular site over the last hour, day, week, or month, or year. This helps to detect patterns over time and aids forecasting.
• Spatial aggregation: This technique involves aggregating any data points for a set of resources over a certain time interval. Consider you have a scenario where you need to determine the overall sales for all of your stores in a given month. This would be spatial aggregation.

Top 10 Data Aggregation Tools

Top 10 Data Aggregation Tools

Data aggregation tools are software applications that collect data from multiple sources and bring it together into a single, unified view. This can be helpful for businesses of all sizes, as it can save time and effort by eliminating the need to manually collect and integrate data from different places. There are many different data aggregation tools available such as:

1. Alteryx

This powerhouse caters to data scientists and analysts who want self-service analytics. It excels at ETL/ELT processes, meaning you can extract data from various sources (databases, spreadsheets, social media), transform it (clean, format, filter), and load it into a central warehouse for easy analysis.

Features of Alteryx

• Alteryx boasts drag-and-drop functionality and pre-built tools for data blending and manipulation.
• Packed with features like data blending, cleaning, and advanced analytics, Alteryx empowers users to develop predictive models and gain spatial insights.
• It even allows exporting insights as Tableau data extracts for compelling visualizations.

Pricing of Alteryx

Alteryx offers two pricing tiers: Designer Cloud starting at $4,950 and Designer Desktop at $5,195.

2. Databricks

Databricks is a platform-as-a-service solution that provides the data lakehouse concept – a data storage and processing model that consists of two components: a data lake and a data warehouse. It is designed for performing Big Data analysis using large volumes of data and sophisticated calculations.

Features of Databricks

• Databricks addresses the issue of storing structured organized data, semi-structured data, and unstructured data in separate data lakes and data warehouses. This facilitates simplified data management and simplified analysis.
• Databricks offers strategies for moving and preprocessing data before storing it in the data lakehouse. It is possible to create ELT solutions for your data operations to streamline the process of data movements and enforce data quality.
• Databricks offers horizontal auto-scaling to fit your growing data workload. It is a good option in terms of usage as the cost is billed according to consumption, which is ideal for big data jobs.
• Apache Spark is an open-source framework for distributed processing of data Databricks is on Spark. This enables a user to use the power of Spark for performing very fast and highly effective data analysis.

Pricing of Databricks

Databricks utilizes a pay-as-you-go approach based on the compute usage you require.

3. Domo

Domo goes beyond simple data aggregation, offering a comprehensive business intelligence (BI) platform for organizations of all sizes.

Feature of Domo

• Domo is effective in integrating data from different sources and applying the necessary processing on it for analytical purposes. Its ETL tool is easy to use, requiring only a drag-and-drop system even for people who do not have coding knowledge.
• The initial capability of Domo is the ability to create business data applications tailored to company requirements. You may develop analytical interfaces, -reports, and schemes and enable users to interact with data.
• Domo provides such analytics tools as charts and graphs of quantitative data, details on demand, and self-service analytics. Customers can monitor trends, analyse patterns, and find specific information on the basis of details provided.
• Domo also has advanced data governance capabilities to maintain high-quality data and address any issues related to data security and regulations. There are several options: managing access to information, assigning rights to information, and usage control.

Pricing of Domo

Domo utilizes a consumption-based pricing model with credit usage.

4. Keboola

Even though there are many platforms for data operation which pay particular attention to the subject of data wrangling, Keboola approaches this matter in its own way. It focuses on enhancing the interaction among data teams to give the former the ability to collaborate on data analysis projects.

Features of Keboola

• Keboola promotes collaboration among employees as it offers open office spaces for analysts and scientists. This enables them to work collaboratively in structuring and optimizing data flows, data manipulations, and analysis tasks.
• Keboola is able to provide fast connection speeds; you can connect to various data sources within a few hours. This makes the configuration process less cumbersome and speeds up the data ingestion process.
• Keboola is providing the needed freedom of choice. Its provided Snowflake data warehouse is at hand for your ETL pipelines or go with Keboola and connect it with your existing data warehouse whichever is appropriate.
• Data manipulation using SQL or scripting languages such as Python, Julia, R, OpenRefine or Keboola Coda. This is beneficial to users with different levels of technical expertise and helps in performing multiple data restructuring activities.

Pricing of Keboola

Keboola offers a free tier with limited functionality (120 minutes of computational runtime in the first month).

5. Looker Studio (formerly Data Studio)

This is free offering from Google to create interactive reports and dashboards from diverse data sources. It’s a fantastic option for budget-conscious businesses or those starting with data visualization.

Features of Looker Studio (formerly Data Studio)

• Whether you have spreadsheets, marketing platforms, or social media data, Looker Studio can consolidate it all for clear visualization.
• Looker Studio boasts an intuitive drag-and-drop interface, making it easy for users of all technical backgrounds to build compelling reports and dashboards. It offers a rich library of pre-built visualizations and allows customization for a unique touch.

Pricing of Looker Studio (formerly Data Studio)

Looker Studio offers a refreshing completely free pricing model. There are no hidden costs or limitations for creators and viewers of reports.

6. Matillion

This data productivity platform caters to both coders and non-coders, simplifying data pipeline building. It provides pre-built connectors and error checks for data transformations. Matillion uses a consumption-based pricing model with tiers for different user types.

Features of Matillion

• Matillion offers a treasure trove of pre-built connectors, eliminating the need for manual configuration when connecting to various data sources. For transformations, it provides a visual interface and supports coding for advanced users. A unique feature is automatic error checking, ensuring the integrity of your data pipelines.
• Matillion utilizes a consumption-based pricing model with tiered structures. Basic users pay $2 per credit, while Advanced and Enterprise users pay $2.50 and $2.70 per credit respectively. The number of credits used determines the overall cost.

Pricing of Matillion

Matillion utilizes a consumption-based pricing model with tiered structures.

• Basic users: $2 per credit
• Advanced users: $2.50 per credit
• Enterprise users: $2.70 per credit

7. Microsoft Power BI

This user-friendly platform from Microsoft is a popular choice for small and medium businesses.Power BI excels if you need an easy-to-use platform integrating well with other Microsoft products.

Features of Microsoft Power BI

• Offers a free version with core functionalities like data visualization and basic analytics. Upgrading to paid plans unlocks advanced features like data modeling, larger data volumes, and collaboration tools. One of its strengths is the Q and A functionality, allowing users to ask questions in natural language and receive data-driven insights.
• Microsoft Power BI offers two main versions: Pro and Premium. Power BI Pro costs $10 per user per month, while Premium comes in two flavors – per user ($20 per user per month) and per capacity ($4,995 per capacity per month). The per-capacity option is ideal for large teams with fluctuating usage.

Pricing of Microsoft Power BI

• Free version: This includes core functionalities like data visualization and basic analytics. It’s suitable for smaller teams or getting started with Power BI.
• Paid plans: There are two main options:
  • Power BI Pro: $10 per user per month. This unlocks features like data modeling, larger data volumes, and collaboration tools.
  • Power BI Premium: This comes in two flavors – per user ($20 per user per month) and per capacity ($4,995 per capacity per month). The per-capacity option is ideal for large teams with fluctuating usage.

8. Qlik

This business analytics platform boasts robust data integration, insightful analytics, and interactive dashboards. It offers a free trial and various pricing plans depending on the chosen product.

Features of Qlik

• Qlik utilizes an associative data model, allowing users to explore data from any angle and uncover hidden relationships. Its AI-powered tool, Qlik Sense, helps analyze data, identify trends, and even generate predictive insights. Interactive dashboards with drill-down capabilities empower users to delve deeper into specific data points.
• Qlik offers various products with different pricing structures. Qlik Analytics, their core offering, costs $30 per user per month. Enterprise users can contact Qlik sales for a custom quote. For data integration solutions, pricing details aren’t publicly available, as they offer both on-premise and cloud-based options.

Pricing of Qlik

• Qlik Analytics (core offering): Costs $30 per user per month.
• Enterprise plans: Contact Qlik sales for a custom quote based on your specific needs. Pricing details aren’t publicly available for enterprise plans or data integration solutions (offered in both on-premise and cloud-based options).

9. Zoho Analytics

This platform equips businesses with data consolidation, reporting, and analytics tools. It has a free plan with limited features and paid plans catering to businesses of different sizes. Zoho Analytics offers a good balance of features and affordability.

Zoho Analytics is a comprehensive business intelligence and data analytics platform designed to empower businesses of all sizes to consolidate their data, generate valuable insights, and build informative reports. Let’s delve deeper into its features, pricing, and how it can benefit your organization.

Features of Zoho Analytics

• Zoho Analytics boasts an impressive ability to connect to over 500 data sources, both cloud-based and on-premise database.
• A unique feature is Live Connect, which enables the creation of real-time reports and visualizations without the need to store data on Zoho servers – ideal for situations where data privacy is paramount.
• Zoho Analytics incorporates an AI assistant named Zia, featuring a “conversation mode.” This allows you to ask data-related questions in natural language and receive insights and reports generated by Zia based on your data.

Pricing of Zoho Analytics

• Free Plan: This plan offers basic features for a limited number of users, allowing you to test the platform before committing.
• Basic Plan ($24 per month): Ideal for small teams, this plan provides core functionalities for data connectivity, visualization, and reporting.
• Standard Plan ($48 per month): This plan caters to growing businesses, offering additional features like custom dashboards, scheduled reports, and increased user limits.
• Premium Plan ($115 per month): Designed for larger organizations, this plan unlocks advanced features like data warehousing, white labeling, and API access.
• Enterprise Plan ($455 per month): This enterprise-grade plan caters to large businesses with extensive data needs. It offers high user limits, dedicated customer support, and advanced security features.

10. Twilio Segment

This customer data platform (CDP) specializes in collecting, cleaning, and unifying data at scale. With pre-built connectors and the ability for custom integrations, Segment helps teams understand and act on their data in real-time – all through a single API.

Segment boasts over 450 pre-built connectors, eliminating the need for manual integrations with popular marketing, sales, and analytics tools. It also allows for custom integrations for unique data sources. With its single API, Segment streamlines data flow, ensuring all your customer data is clean, consistent, and readily available for analysis.

Features of Twilio Segment

• Streamlined Data Collection: Segment boasts over 450 pre-built connectors, eliminating the need for manual integrations with popular marketing, sales, and analytics tools. You can also create custom integrations for unique data sources.
• Unified Customer Data Platform: Segment acts as a central hub for all your customer data. It collects data from various sources, cleans and transforms it for consistency, and makes it readily available for analysis in your preferred tools.
• Single API for Efficiency: Segment provides a single API for managing your customer data flow. This simplifies data management and ensures all your customer data is readily available for analysis, eliminating the need to manage multiple integrations.
• Actionable Insights: With clean and unified customer data, Segment empowers you to gain deeper insights into customer behavior. This allows for informed decision-making across marketing, sales, and product development teams.

Pricing of Twilio Segment

• Free plan: This allows you to collect data from two sources and send it to an unlimited number of destinations.
• Paid plans: Pricing details for paid plans are not publicly available, and you’ll need to contact Segment sales for a custom quote.

Conclusion

Overall, data aggregation is a vital marketing strategy for large and small companies. Data integration allows businesses to combine data from multiple sources in a meaningful way to provide insights, discover trends, and improve success. This tutorial has outlined ten data aggregation tools that users prefer based on their features and cost plans.

It is important to note the needs and the budget of an organization determine the most appropriate type of tool. You may take into account such parameters as a volume and a type of data, necessary integrations, the availability of wanted functionality, a usability rate, and so on.