How can you compare BI tools for handling big data?

1 Data sources and formats

One of the first aspects to compare is how well the BI tools can connect to and handle different data sources and formats. Big data can come from various sources, such as databases, cloud platforms, web services, social media, sensors, or streaming data. It can also have different formats, such as structured, semi-structured, or unstructured. You need to choose a BI tool that can access and integrate the data sources and formats that are relevant for your business needs. Some BI tools may have native connectors or adapters for specific data sources and formats, while others may require additional software or coding to enable the connection.

2 Data processing and storage

Another factor to compare is how the BI tools process and store the data. Big data can pose challenges for traditional data processing and storage methods, such as relational databases or data warehouses, due to its volume, velocity, and variety. You need to choose a BI tool that can leverage alternative or complementary data processing and storage methods, such as distributed computing frameworks, parallel processing, in-memory computing, or data lakes. Some BI tools may have built-in capabilities or integrations for these methods, while others may rely on external platforms or services.

4 Data visualization and reporting

A fourth factor to compare is how the BI tools visualize and report the data. Big data can require effective and efficient ways of presenting and communicating the results of the data analysis and modeling. You need to choose a BI tool that can provide different options and formats for data visualization and reporting, such as charts, graphs, maps, tables, dashboards, or stories. Some BI tools may have pre-defined templates or themes for creating data visualizations and reports, while others may enable you to customize the design and layout.

5 Data governance and security

A fifth factor to compare is how the BI tools govern and secure the data. Big data can raise issues and risks for data quality, privacy, compliance, and ethics. You need to choose a BI tool that can help you manage and protect the data throughout its lifecycle, from collection to consumption. Some BI tools may have features or tools for data governance and security, such as data validation, cleansing, auditing, lineage, encryption, authentication, or authorization, while others may depend on external policies or systems.

6 User experience and scalability

A sixth factor to compare is how the BI tools offer user experience and scalability. Big data can demand user-friendly and scalable solutions that can accommodate different user roles, needs, and preferences. You need to choose a BI tool that can deliver a positive and productive user experience and scalability, such as ease of use, flexibility, collaboration, performance, reliability, or availability. Some BI tools may have user interfaces or options that can adapt to different user levels, devices, or scenarios, while others may require more training or support.

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?