All that data you collect in your MongoDB datastores should make a huge difference to your business. In an era where quick decision-making and rapid innovation are the new competitive advantages, not having the right information at the right time can hold you back. It can also be annoying because you know somewhere buried deep in those MongoDB datasets that have you and your team tied up in knots, is the data you need to identify your next big opportunity. The challenge is getting the right MongoDB visualization tool that can help you get the insights you need to drive real change in your organization.
In this post, you will learn about what MongoDB is, what data visualization entails, and finally review some of the best MongoDB visualization tools.
Table Of Contents
What is MongoDB?
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MongoDB is a NoSQL document-oriented database that stores JSON-like documents with dynamic schemas. Data is stored in documents in the form of key-value pairs. At the backend, MongoDB converts JSON data into a binary format known as bison. MongoDB also makes provisions for nested data.
How Does MongoDB Work?
All of these documents are stored in a collection in the MongoDB database. These collections hold multiple documents and since MongoDB is schema-less, the documents in one collection need not be similar in structure. This makes fetching data extremely efficient when compared to other databases.
MongoDB is mostly used in IoT, mobile applications, content management, and real-time streaming analysis. Organizations using MongoDB include Toyota, SAP, AstraZeneca, Adobe, Verizon, Cisco, Barclays, and Google.
What is Data Visualization?
In today’s digital world, you’re constantly surrounded by data. But in its raw form, it’s hard to get actionable insights from this data. You can imagine how difficult and confusing it can be to interpret rows and rows of numbers. Because of this, you usually use a method called data visualization to present patterns and trends in data more easily.
Therefore, data visualization is the translation of data in a visual way such as a graph, plot, heatmap, or equivalent with the main goal being to make the data easy to digest. It lies at the intersection of the fields of communication, information science, and design.
The main advantage of data visualization is not that it makes data more beautiful, but it provides insights into complex datasets by communicating their key aspects in more intuitive and meaningful ways. Simple forms of data visualization include graphs, pie charts, and even maps. However, these days computer technology has enabled the analysis of data to produce a graphical representation of various concepts.
Why are Data Visualization Tools Important?
Data visualization, reporting, and analytics tools are the main foundation for any digital business because they allow businesses to understand how customers engage with a particular product. Reporting tools deliver business intelligence and reporting functionalities to end-users in an intuitive self-service format.
Using their no-code drag and drop functionalities, business analysts with minimal technical skills can create visually rich reports on a view basis. As end-users begin integrating these tools in their daily workflow, these tools have the potential to save them time and your business money by empowering end-users to build their reports on the fly.
Your BI team can use these tools to perform regression analysis, time-series analysis, as well as Cluster analysis to help you get to the core of your data and unveil patterns that cannot be easily grasped by looking at a table. They also allow you to connect data from multiple data sources into a single place, therefore, allowing you to run analytical workloads that would be otherwise very demanding if performed on individual datasets.
Hevo Data, a No-code Data Pipeline, helps load data from any data source such as Databases, SaaS applications, Cloud Storage, SDK,s, and Streaming Services and simplifies the ETL process. It supports 100+ Data Sources such as MongoDB, including 40+ Free Sources. It is a 3-step process by just selecting the data source, providing valid credentials, and choosing the destination.
Hevo loads the data onto the desired Data Warehouse/destination in real-time and enriches the data and transforms it into an analysis-ready form without having to write a single line of code. Its completely automated pipeline, fault-tolerant, and scalable architecture ensure that the data is handled in a secure, consistent manner with zero data loss and supports different forms of data. The solutions provided are consistent and work with different BI tools as well.
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Check out why Hevo is the Best:
- Secure: Hevo has a fault-tolerant architecture that ensures that the data is handled securely and consistently with zero data loss.
- Schema Management: Hevo takes away the tedious task of schema management & automatically detects the schema of incoming data and maps it to the destination schema.
- Minimal Learning: Hevo, with its simple and interactive UI, is extremely simple for new customers to work on and perform operations.
- Hevo Is Built To Scale: As the number of sources and the volume of your data grows, Hevo scales horizontally, handling millions of records per minute with very little latency.
- Incremental Data Load: Hevo allows the transfer of data that has been modified in real-time. This ensures efficient utilization of bandwidth on both ends.
- Live Support: The Hevo team is available round the clock to extend exceptional support to its customers through chat, email, and support calls.
- Live Monitoring: Hevo allows you to monitor the data flow and check where your data is at a particular point in time.
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Best MongoDB Visualization Tools
Seeing that data visualization has rapidly grown in popularity, there has come a plethora of different platforms that let you analyze your MongoDB datasets without ever having to learn a programming language. The way they get around this is by using data visualization to complete the analysis.
To come up with this list, the following criteria are used to pick the best MongoDB Visualization Tools:
- Deployment options (on-prem and cloud).
- Ease of learning/using.
- Quality of visualizations.
- Performance on large datasets.
- Ability to combine data from different sources.
MongoDB Visualization Tools: Tableau
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Tableau is mainly known for its world-class visualizations. But to create those visuals, it also includes functionality to create metrics, join data from multiple sources, and even create a data model. Models can be for planning purposes or analytics. Within a model, Tableau allows you to enrich the data to support time-based charts, Geo maps, assign responsibilities for organization units to specific users, and apply model security.
Pricing Details
- Tableau has a free version and a free trial is also offered.
- Tableau Creator: Starts at $70/user, per month, billed annually.
- Tableau Explorer: Stars at $35/user, per month, billed annually.
- Tableau Viewer: Starts at $12/user, per month, billed annually. A minimum of 100 Viewers is required.
MongoDB Visualization Tools: Power BI
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Power BI is one of the most widely used analysis and visualization tools on the market. In Power BI, you’re either creating reports, working with data, or consuming reports to make business decisions based on that data. It might not have the same level of visuals as Tableau, but it lacks nothing in analytical power for the average user.
Again with Power BI, you can create data models, metrics, and interactive dashboards. Power BI can easily handle massive amounts of NoSQL data and it uses a formula language called DAX which will be very familiar to Excel users. Using Power Query, you can clean and shape your data to get it in the right format as you pull it in Power BI.
Pricing Details
- Microsoft Power BI has a free version and offers a free trial.
- Microsoft Power BI paid version starts at US$9.99/user, per month.
MongoDB Visualization Tools: MongoDB Charts
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MongoDB Charts provides an intuitive way to build charts and dashboards off data sitting in MongoDB Atlas. It’s fully interactive; a user can drag and drop fields, zoom in, pan, etc. It also includes a Chart builder that you can use to customize how charts appear. It provides many different types of charts for visualizing your data such as gauge charts, bar charts, column charts, line charts, geospatial charts, heatmaps, and more.
Pricing Details
MongoDB Visualization Tools: MicroStrategy
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MicroStrategy is an enterprise data analytics platform that can deliver BI to your MongoDB datasets. They have a suite of BI apps that can connect your teams to any data source in one click, help you create pixel-perfect visualizations with a drag and drop canvas that renders beautifully on any device so that you can run your business with reports organized into pages and chapters and consolidated in a personalized library. You can deploy it on-premises or in the cloud.
Pricing Details
- MicroStrategy does not offer a free version. However, there is a 30-day free trial available.
- MicroStrategy paid version starts at $600.00 paid one-time.
MongoDB Visualization Tools: SAP Analytics Cloud
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The SAP Analytics Cloud is SAP’s BI module that can be used for reporting data from your MongoDB data sources. SAP BI can give value to the unprocessed data in your MongoDB database by organizing, cleaning, and storing it using business logic for downstream analytics that will eventually inform business decisions. It’s mainly used for data exploration, visualization, analysis, financial planning, and predictive forecasting. By importing data from your MongoDB instance, you can create a model in SAP Analytics Cloud that can be shared with many other users with data access customized to each user’s level of authorization.
Pricing Details
- No free version.
- 30-day free trial.
- Starts at $25.00/user, per month.
MongoDB Visualization Tools: Qlik Sense
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Qlik Sense is a modern cloud analytics platform designed to help you create a data literate workforce and transform your business. Qlik has a variety of different modules that all work in harmony to help you manage and clean your data, share information, create visualizations, and reports. It combines the power of AI with the creativity of human intuition.
Unlike black-box AI systems, the Qlik cognitive engine works with its unique associative technology to generate context toward insights. While some solutions in this list limit you to rigid, linear exploration and partial views of data, Qlik’s unique associative engine indexes all the relationships in your data so you can search and explore in any direction in a similar way to how your mind works.
Pricing Details
- Qlik Sense: A free version with basic features to get you started.
- Qlik Sense Business: $30/user per month, billed annually.
MongoDB Visualization Tools: TIPCO Spotfire
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Whether you are a business user with little or no data expertise, or a data scientist working with analytical applications at scale, Spotfire has all the horsepower and self-service features you need to discover brilliant insights and communicate them effectively. Spotfire can take the data you use every day like sales or customer service information, wrangle it into shape and then visualize it to identify trends and patterns so you can delve deeper to find the proof you need to take transformative action. Spotfire’s intuitive shareable dashboards let you bring intelligence to all stakeholders in your organization and with predictive analytics, you can even anticipate what’s coming next to get ahead of the game.
Pricing Details
- No free version.
- 30-day FREE Trial is available.
- TIBCO Spotfire Desktop: $650 per year.
- TIBCO Spotfire Cloud: $200 per month or $2000 per year.
Conclusion
The tools in this list allow for anyone in your organization despite their level of technical expertise to create analytics by simply dragging and dropping visualizations to visualize data in a governed self-service environment. Another thing they have in common is that they all have a centralized hub that lets you find, publish, and share analytics using governed collections of your MongoDB content. Some even feature open APIs that let you build anything you can imagine—from purpose-built extensions to embedded analytics within your enterprise applications, down to custom analytics applications that can run anywhere.
However, as a Developer, extracting complex data from a diverse set of data sources like Databases, CRMs, Project management Tools, Streaming Services, Marketing Platforms to your MongoDB Database can seem to be quite challenging. If you are from non-technical background or are new in the game of data warehouse and analytics, Hevo Data can help!
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Hevo Data will automate your data transfer process, hence allowing you to focus on other aspects of your business like Analytics, Customer Management, etc. This platform allows you to transfer data from 100+ multiple sources to Cloud-based Data Warehouses like Snowflake, Google BigQuery, Amazon Redshift, etc. It will provide you with a hassle-free experience and make your work life much easier.
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