16 Best Data Analytics Software in 2024

Tableau is a business intelligence (BI) and analytics platform that helps analyze business data and find meaningful insights. It can connect data from multiple sources such as SQL databases, spreadsheets, or cloud-hosted applications such as Google Analytics and Salesforce with Tableau into one dataset.

Tableau live visual analytics and interactive dashboards let people dig into datasets to find answers, while interactive maps allow users to analyze data across multiple regions, territories, or demographics.

Suitable for various industries such as banking, healthcare, and technology. Tableau can be deployed on-premises or as a SaaS application. It supports creating narrative stories with interactive visualizations, which can be easily shared.

Tableau Mobile app allows users to access and analyze data on Android and iOS devices to access insights easily.

MATLAB is a powerful programming and numeric computing platform used by millions of engineers and scientists. It helps analyze data, develop algorithms, and create models by combining a user-friendly desktop environment with a programming language focused on matrix and array mathematics.

MATLAB includes the Live Editor for creating scripts that integrate code, output, and formatted text, streamlining the workflow from exploration to implementation.

MATLAB’s extensive toolboxes are professionally developed and fully documented, providing reliable and easy-to-use functions for various applications. Its interactive apps let users visualize data and iterate on analyses, automatically generating MATLAB programs for reproducibility. With the ability to scale computations to clusters, GPUs, and clouds with minimal code changes,

Looker organizes business information for your business data, making building insight-powered workflows and applications easy.

Looker allows businesses to access, analyze, and act on up-to-date, trusted versions of their data, delivering trusted data experiences at scale from the cloud of your choice. By providing more insights to more users, Looker improves productivity, decision-making, and innovation.

LookML is a powerful SQL-based modeling language that allows analysts to centrally define and manage business rules and definitions, creating efficient SQL queries. The integration between Looker and Looker Studio combines a governed data layer with a self-serve solution for comprehensive data analysis and visualization.

Customers like Major League Baseball and Wix have leveraged Looker to enhance their data capabilities, resulting in faster insights and improved decision-making.

Adverity is an integrated data platform built for marketing teams to streamline their data operations. It automates data collection, management, and sharing, ensuring that your data is always clean, consistent, and ready for analysis.

With Adverity, users can effortlessly connect to any marketing data source, API, database, or file-based storage, leveraging the world’s largest library of prebuilt marketing data connectors, featuring over 600 connectors.

The platform’s automated data processing and transformation capabilities allow for seamless standardization of data from various sources, making it easier for teams to manage multi-channel campaigns.

Adverity’s scalable design ensures that businesses can grow with their data solution. The platform also offers seamless migration support and transparent pricing, with no hidden costs.

Domo is a cloud-based BI platform created to centralize and present data from numerous sources, modify reports into imaginative displays, and distribute fresh ideas to organizations. A user-friendly interface makes complex data accessible to non-technical users, and real-time insights allow business leaders to make better decisions.

Domo is perfect for businesses that want a complete BI solution that helps everyone see the data and work together. Key features are drag-and-drop dashboard creation, data blending from diverse sources to get helpful information, and mobile access for on-the-go insights.

User reviews often highlight Domo’s intuitive interface, ease of data integration, and effective sharing capabilities.

Minitab is a comprehensive statistics package that provides statistical analysis, data visualizations, and data analytics to enhance data-driven decision-making by streamlining analytical workflows. It can analyze datasets of all sizes and automates statistical calculations and graph creation, allowing users to concentrate on data analysis.

Minitab also offers a range of customization options and powerful scripting macro capabilities, making it a versatile tool for users. Customers can choose between a single license for a stand-alone copy or an annual network license for multiple users, which includes upgrades to new versions.

Minitab pricing starts at $1891 for a Single Named User Annual Subscription. Add-on modules will cost extra.

Google Analytics is a powerful tool for businesses that provides detailed performance reports, like ROI analysis. It helps understand how customers interact with websites and apps, making finding the best content easier. It includes a central dashboard with clear summaries and reports.

Using machine learning, Google Analytics identifies trends and patterns in customer behavior, spots high-value users, and highlights content that drives conversions. It creates easy-to-share reports with both summary and detailed views. Additionally, it integrates with other Google tools such as Display & Video 360, AdSense, AdMob, and AdWords to expand marketing efforts.

BigQuery, a cloud-based data warehouse provided by Google, revolutionizes business data analysis by offering a scalable and cost-effective solution. It frees users from infrastructure management, allowing them to focus on extracting valuable insights using SQL and built-in machine learning tools.

BigQuery’s serverless design ensures efficient scaling, enabling rapid querying of terabytes within seconds and petabytes within minutes.

BigQuery is suitable for organizations dealing with extensive datasets. It integrates data from the Google Cloud Platform and other cloud services easily. Its pricing model is pay-as-you-go, based on query processing and stored data. The first 1 TiB per month is offered for free.

Qlik Sense software helps make better business decisions based on data, making It a self-service analytics solution for everyone. Organizations can explore their data. With drag-and-drop ease, they create attractive visualizations that make them come alive in stunning detail while being easy to change or edit afterward.

Qlik Sense is available in two editions: Business and Enterprise, both offered via annual subscription per account. Enterprises can deploy on a hosted SaaS public cloud, multi-cloud, on-premise, or private cloud. Additionally, Qlik Sense Business includes a free 30-day trial, and a free desktop version is available for personal use.

Sisense is a comprehensive data analytics platform enabling data discovery and analytics for customers and employees through an embeddable, scalable architecture. Utilizing in-chip technology on the back end allows analysts to merge large datasets from various sources into a unified database for the entire organization.

Users of all skill levels can create visualizations, reports, and dashboards on the front end to explore and share insights that drive business growth. Sisense’s AI-driven, cloud-native analytics solution, Fusion, integrates into business workspaces, allowing teams to view key metrics and data insights within their everyday tools.

Suitable for businesses of any size, Sisense can be deployed on-premises, as a private cloud-hosted, fully managed, or through a hybrid approach.

Zoho Analytics provides a user-friendly, self-service platform for creating visualizations and dashboards. It enables organizations to gain insights and analyze business data on-demand, minimizing the need for IT support or data analysts through extensive automation.

Zoho Analytics can handle large datasets, clean and blend data, and perform various analytical tasks. It allows users to visualize results in dynamic graphics to make informed business decisions.

Zoho Analytics supports stand-alone and embedded environments and is accessible on mobile devices. Deployment is flexible, offering both on-premise and cloud options.

Zoho Analytics connects to various data connectors, including cloud storage, multiple databases, CRM systems, Google Analytics, marketing platforms, social media, financial platforms, e-commerce platforms, HR, and more.

Iceberg is an open-source table format created by Netflix to overcome various challenges within Apache Hive’s Hadoop project. Developed in 2018, Netflix donated Iceberg to the Apache Software Foundation, making it a fully open-source and community-managed project. It has rapidly gained popularity for its ability to address the limitations of its predecessor.

Apache Iceberg enables big data analysts to efficiently manage and query data in a data lake by creating metadata around files, allowing tools to treat them as tables. This brings the functionalities and capabilities of traditional SQL tables, such as ACID transactions and time travel, to data lakes.

SAP Analytics Cloud, previously called SAP BusinessObjects Cloud, is a SaaS solution that integrates planning and predictive analysis with traditional business intelligence (BI) features. Its up-to-date user interface makes integrated planning, analysis, and prediction possible within a single platform.

SAP Analytics Cloud provides real-time business intelligence capabilities, enabling users to solve complex problems instantly. It supports data blending from various sources, generates detailed visual representations of data, and provides instantaneous ad hoc reports.

The SAP Cloud Platform uses HANA’s in-memory computing for fast and reliable cloud business intelligence while ensuring data security.

Klipfolio is an analytics software designed to help manage data effectively through its dashboards and reports that report on KPIs or oversee trends. Users can access reports from several internal systems in one place and set up interactive visual data display graphs that are easily shared.

Klipfolio is a cloud-based business intelligence dashboard platform connecting multiple data sources to provide real-time, accurate data visualizations. It offers two tools: the classic Klip and the new PowerMetrics. The classic Klip focuses on building real-time dashboards and visual reports, while PowerMetrics is a dedicated metrics platform. Both tools help businesses make data-driven decisions by providing visually represented statistics.

With Klipfolio, you can monitor how your business is doing efficiently, saving Rome that would otherwise be lost to simple continuous data analysis.

RIB BI+ is a robust business intelligence (BI) software designed for businesses to analyze, visualize, and share their data within a centralized analytics platform.

RIB BI+ offers an intuitive drag-and-drop interface that allows even nontechnical users to perform advanced analytics and build dynamic and interactive business dashboards to gain valuable insights.

RIB’s BI+ software comprises six main components: Connect, Analyze, Dashboards, Reports, Alarms, and Insights. It allows the integration of various data sources and the easy creation of interactive dashboards, setting data alarms, and generating reports with just a few clicks. The software provides dashboard templates and tutorials for quick and efficient user onboarding.

Microsoft Power BI is a comprehensive analytics suite for reporting and data analysis. Its user-friendly interface facilitates data extraction from Excel workbooks, SQL Server, and text and CSV files. It connects to Data feeds, Power BI Template Apps, and semantic models.

Microsoft Power BI is an advanced Excel version with a familiar interface, making it easy for users to adopt. Its tiered pricing structure is suitable for businesses of all sizes, offering a free Desktop version for content creation and Pro and Premium versions for sharing insights.

Integrating Power BI/Data Lake on Microsoft Fabric provides a semantic layer to mitigate data volume and latency issues associated with data import and DirectQuery.