7 Best Tableau Alternatives

Tableau is a data visualization tool used in the Business Intelligence (BI) industry. It helps in simplifying raw data in a format that is understandable to all audiences. The visualizations are created in the form of interactive dashboards and worksheets.

Tableau Dashboards make good use of visuals, visual objects, text, and other elements to provide you with a holistic picture of your data.

Dashboards are extremely useful because they may provide data in the form of stories, offer a range of layouts and styles, and allow users to apply appropriate filters. One may even effortlessly duplicate a dashboard or its individual features from one workbook to another.

Tableau comes with a lot of pre-installed map data, including cities, postal codes, administrative boundaries, and so on. As a result, Tableau’s maps are extremely detailed and insightful. You may customize the layers on the map to meet your needs and use Tableau to generate meaningful maps with your data.

Tableau makes it easy to work with other users and share data in the form of visualizations, sheets, dashboards, and other types of data in real-time.

It enables you to securely communicate data from a variety of data sources, including on-premises, on-cloud, hybrid, and so on. Instant and easy collaboration and data sharing aid in obtaining quick assessments or input on data, resulting in a more thorough overall study.

Tableau was developed in 2003 and has been popular amongst researchers, businesses, and different industries ever since. One of the reasons for this is because it does not require any programming or technical skills to operate Tableau.

Tableau Alternatives and Competitors

Tableau might not be for everyone. However, there are a lot of options for users looking for similar tools. This article has identified some best Tableau alternatives.

1.   MicroStrategy

MicroStrategy’s platform empowers users among a wide range of organizations with a powerful set of business intelligence tools and software.

MicroStrategy connects big data, cloud data, and the contents of relational databases then visualizes the information and presents it to users as a holistic picture.

Users may design dashboards using drag-and-drop to mix the functionality of various programs.

Along with interactive dashboards, MicroStrategy also supports highly formatted reports, scorecards, ad hoc queries, thresholds and alerts, and automated report distribution. Interfaces include web, desktop (for developers), and Microsoft Office integration. MicroStrategy Mobile also supports mobile BI.

MicroStrategy offers quite some advantages over Tableau. The first one is that MicroStrategy offers both row and column level security, whereas Tableau supports only row-level security.

The second is that MicroStrategy supports Predictive Modelling. The third advantage is that MicroStrategy’s mobile application is more robust than Tableau. This is because it supports mobile write-back ability, which lets users update records from the field.

2.   Oracle Analytics Cloud

Oracle Analytics Cloud is a self-service cloud-based analytics tool with augmented analytics capabilities that can conduct data preparation, visualization, corporate reporting, among other features.

Its AI-powered platform provides richer data preparation, natural language processing, and tailored analytics, and more, to corporate users and consumers, all from the comfort and continual accessibility of the cloud.

By minimizing dependency on IT departments and employing machine learning algorithms to assist users to find answers to their problems on their own, this Tableau rival emphasizes self-sufficiency and organizational data literacy in analytics.

Oracle Analytics Cloud has some great features.

Firstly, it is built on a high-performance platform with flexible data storage.  Secondly, it allows analysts to ingest, profile, and cleanse data using a variety of algorithms. Thirdly, analysts can prepare, transform, and aggregate data before running large-scale machine-learning models.

Fourthly, experts can easily collaborate with other business users, including intelligent analysis at scale, machine learning, and statistical modeling. Finally, without the need to manage or combine various versions of spreadsheets, large companies, and small teams may share data more easily.

3.   Qlikview

Qlikview is another most sought-after BI tool by small businesses. It is a very user-friendly software known for its dashboard feature.  It allows integration of complex data, simplification of data visualization, and real-time access to its analytics.

This can help businesses increase communications not only within their departments but also between different departments (such as the production team and sales team).

Qlikview also allows you to import data from various sources and sort it in any way you desire. Some of the examples are bar charts, comparison charts, pie charts, etc. The associate experience with Qlikview also provides recommendations on what data is the most relevant for analysis.

This program is also incredibly shareable, users may share their reports and dashboards with other people through mobile devices for collaboration or simply to discuss recent data findings.

Qlikview is commonly used alongside its sister package, Qliksense, which handles data exploration and discovery. There is also a strong community and there are plenty of third-party resources available online to help new users understand how to integrate it into their projects.

4.   Domo

Domo is one of the most mobile-friendly BI solutions available on the market today. It is known for its excellent visuals.

The user-friendly interface shows you how to connect data, make a card, invite a colleague to participate, create a dashboard, set up alerts, and more once you log in. There’s also a built-in chat option that may help you and your team interact more effectively.

The Domo Business Cloud allows one to combine data from tens of thousands of different sources. This information can be easily transformed into real-time visuals and workflows for your company.

Automation can be set up to spend less time on back-end integration or repetitive BI tasks. Domo also allows integration with social media platforms. By examining the most recent top engaging posts, trending hashtags, tweets, and sponsored tweets, the marketing team can easily examine content optimization strategies.

5. Spotfire

Spotfire is a smart, safe, versatile, and scalable tool that provides data visualization, discovery, wrangling, and predictive analytics capabilities. Spotfire’s interactive display allows users to combine data in a single analysis and get a holistic view of the results.

Spotfire software helps businesses become more intelligent by providing AI-driven analytics and making it easy to plot dynamic data on maps. The platform enables businesses to translate their data quickly and easily into actionable insights. It allows for faster, more confident, and more accurate data analysis across an organization.

Instead of forcing you to make requests through your IT or data teams, Spotfire wants to democratize data across your organization by granting access to all employees. They provide cloud, platform, enterprise, and AWS-based BI systems for a variety of data sources. Spotfire has a wide range of capabilities, including Big Data and “Big Content.”

You may examine all user-generated text across different platforms, including email, chat, and search keywords, using Big Content searching. Customer pain areas and potential solutions can be identified via Big Content searches. Spotfire also delivers predictive analysis from your data, allowing you to be proactive rather than reactive.

6.   Sisense

Sisense is a business intelligence program that provides small to enterprise-level enterprises with analytic solutions and market insights.

Sisense is one of the few completely functional business intelligence software solutions that allows non-technical users to mix numerous data sources, build dashboards, create data visualizations, and share them with others.

Without the usage of hardware or IT personnel, this web-based BI solution integrates data into a single centralized spot.

The sleep user interface of Sisense makes it simple to use for the masses, which means that implementing it in a large organization with dozens of users is expected to go smoothly.

Analysts, engineers, and developers may use the data analytics platform to turn complicated and sometimes perplexing data into meaningful results for your company. You can use the application to compile data from nearly any source.

Simple CSV files, Microsoft Dynamics products, Oracle, Salesforce, and other common connectors are just a few examples.

7.   Looker

Looker might look like a relatively new software in the business intelligence space but they have already made a mark within big organizations such as Google, Amazon, Cloudera, Microsoft, and IBM.

Looker was designed for enterprises that already have a data analytics team. Business users may use LookML to define business data, and then integrate, drill down, and analyze that data in real-time in dashboards and reports.

Looker is well-known for its visualization tool that helps turn data into decisions that can help improve business decisions. Looker’s sophisticated visualizations are supported by real-time dashboards that are simple to view and filter.

Reports can be explored, created, and saved by users. Exports, scheduled email reports, and Slack collaborations are all simple ways to share data through Lookers. Beyond dashboards, Looker allows non-technical employees to explore and ask any ad-hoc query of the data, allowing them to not be limited to a single dataset and to explore as they see fit.

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