Top i2 Analyst's Notebook Alternatives & Competitors For 2024

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Looking for alternatives to i2 Analyst's Notebook? Many users crave user-friendly and feature-rich solutions for tasks like Data Management, Reporting, and Data Transformation. Leveraging crowdsourced data from over 1,000 real Business Intelligence Tools selection projects based on 400+ capabilities, we present a comparison of i2 Analyst's Notebook to leading industry alternatives like Tableau, Cloudera, ClicData, and Mathematica.

Cloudera Software Tool

Product Basics

i2 Analyst's Notebook is a sophisticated software tool designed to facilitate advanced data analysis and visualization, particularly in the realm of Business Intelligence. It excels in transforming complex data sets into comprehensible visual representations, such as link charts and timelines, which aid in identifying patterns, relationships, and trends. This software is particularly well-suited for analysts in law enforcement, military, and financial sectors due to its robust capabilities in handling large volumes of data and uncovering hidden connections.

Key benefits include enhanced decision-making through clear visual insights, improved efficiency in data analysis, and the ability to integrate data from multiple sources. Popular features encompass advanced search functions, customizable visualization options, and powerful analytical tools. Users often highlight its intuitive interface and the depth of analysis it provides as standout aspects.

In comparison to similar products, i2 Analyst's Notebook is frequently praised for its comprehensive feature set and reliability. Pricing typically varies based on the number of licenses and specific organizational needs, with options for annual subscriptions or perpetual licenses, making it adaptable to different budgetary requirements.

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Tableau is a data visualization and analytics solution for enterprises and individuals. A rich library of connectors helps you pull data from files, cloud sources and servers. A separate data management module, Tableau Prep, ensures your data is ready to transform when it comes into the platform.

Its latest features include AI with Tableau Pulse and the Einstein CoPilot.

Software, healthcare, manufacturing, banking and financial services, and retail companies will find it helpful. Whatever your domain, chart, plot and map data will give you a clear picture of business performance.

Besides, you can track daily operations and support line-of-business decisions with hardcore data. At the higher level, it boosts planning by giving senior management the freedom to dig deeper.

A Tableau Creator license costs $70 per user and includes Tableau Desktop and Tableau Cloud. Alternatively, you can deploy it on-premise and connect to the cloud using a bridge. A free trial of Tableau Desktop is available, and Tableau Public is always free to use.

Though it's a user favorite for data visualization, many users find it expensive and slow when handling large datasets.

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Cloudera is a multi-environment analytics platform powered by integrated open source technologies that help users glean actionable business insights from their data, wherever it lives. With an enterprise data cloud, it puts data management at analysts’ fingertips, with the scalability and elasticity to manage any workload. It offers users transparency into the whole data lifecycle and the flexibility of customization through its open architecture.

It is available on an annual subscription basis with three offerings: CDP Data Center, Enterprise Data Hub and HDP Enterprise Plus. Each edition offers different components and pricing varies based on computing power, storage space and number of nodes.

The company merged with Hortonworks in 2019 to provide a comprehensive, end-to-end hybrid and multi-cloud offering.
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ClicData is a cloud-based solution that collects data from multiple sources and delivers insights that are easy to use, embed and access on any device. It enables users to design and share dashboards. It has four different pricing plans with varying levels of functionality: Premium, Team, Enterprise and Dedicated. Users can purchase subscriptions at a yearly or monthly rate.
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Wolfram Mathematica is a technical computing platform that can perform a wide range of computations and algorithms for mathematics and beyond. Primarily designed for research and academia, it enables users to create powerful scripts through a flexible, multi-purpose programming language. It allows users to analyze and visualize data in sophisticated ways and employ methods such as machine learning, data mining and deep learning to model and solve complicated problems.

It is available in the cloud through any web browser or installable on-premises on all desktop environments. Users can purchase licenses as individuals or under group or enterprise pricing for cloud, desktop or both versions.
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$7,160
$15
$833
$71
$1,800
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Product Assistance

Documentation
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Live Online
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24/7 Live Support
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24/7 Live Support
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Product Ranking

#270

among all
Business Intelligence Tools

#1

among all
Business Intelligence Tools

#72

among all
Business Intelligence Tools

#345

among all
Business Intelligence Tools

#47

among all
Business Intelligence Tools

Find out who the leaders are

Analyst Rating Summary

we're gathering data
84
we're gathering data
we're gathering data
we're gathering data
we're gathering data
95
we're gathering data
we're gathering data
we're gathering data
we're gathering data
32
we're gathering data
we're gathering data
we're gathering data
we're gathering data
100
we're gathering data
we're gathering data
we're gathering data
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Availability and Scalability
Data Management
Data Pre-processing
Data Transformation
Data Visualization
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Data Management
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Platform Compliance
Reporting
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Analyst Ratings for Functional Requirements Customize This Data Customize This Data

i2 Analyst's Notebook
Tableau
Cloudera
ClicData
Mathematica
+ Add Product + Add Product
Advanced Analytics Augmented Analytics Data Management Data Pre-processing Data Transformation Data Visualization Embedded Analytics Capabilities Geospatial Visualizations and Analysis Mobile Capabilities Platform Capabilities Reporting 95 32 100 95 90 100 93 96 95 96 100 0 25 50 75 100
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

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User Sentiment Summary

Excellent User Sentiment 2 reviews
Great User Sentiment 10554 reviews
Great User Sentiment 216 reviews
Excellent User Sentiment 294 reviews
Excellent User Sentiment 305 reviews
100%
of users recommend this product

i2 Analyst's Notebook has a 'excellent' User Satisfaction Rating of 100% when considering 2 user reviews from 1 recognized software review sites.

88%
of users recommend this product

Tableau has a 'great' User Satisfaction Rating of 88% when considering 10554 user reviews from 5 recognized software review sites.

82%
of users recommend this product

Cloudera has a 'great' User Satisfaction Rating of 82% when considering 216 user reviews from 4 recognized software review sites.

92%
of users recommend this product

ClicData has a 'excellent' User Satisfaction Rating of 92% when considering 294 user reviews from 5 recognized software review sites.

92%
of users recommend this product

Mathematica has a 'excellent' User Satisfaction Rating of 92% when considering 305 user reviews from 2 recognized software review sites.

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4.59 (152)
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Awards

User Favorite Award
Advanced Analytics Award
No awards.
User Favorite Award
User Favorite Award

Synopsis of User Ratings and Reviews

Visualizations: Users appreciate the ability to create clear and informative visualizations, such as link analysis diagrams, to quickly identify patterns and relationships in data. This helps them understand complex data sets and communicate insights effectively to stakeholders.
Data Integration: The software's ability to integrate data from various sources, including databases, spreadsheets, and text files, is a major advantage. This allows users to analyze data from different systems in a single platform, providing a comprehensive view of their business operations.
User-Friendly Interface: Users find the interface intuitive and easy to use, even for those with limited technical expertise. This makes it accessible to a wider range of users within an organization, enabling more people to contribute to data analysis and decision-making.
Security Features: The software's robust security features, including access control and data encryption, are essential for organizations handling sensitive data. This ensures that data is protected from unauthorized access and misuse.
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Data Visualization: Almost 98% of users who reviewed its visual capabilities praised the platform for its dashboards and the freedom to play around with data and modify charts as desired.
User-Friendly: According to 93% of users who mentioned ease of use, it makes data accessible with its easy user actions and handy tooltips.
Data Connectivity: About 92% of users who discussed data sourcing praised its ability to pull data from disparate systems.
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Scalability: Cloudera can handle massive datasets and complex queries, making it suitable for large-scale data analysis and reporting.
Security: Cloudera offers robust security features, including data encryption and access control, ensuring sensitive data is protected.
Performance: Cloudera's optimized architecture and distributed processing capabilities deliver fast query execution and efficient data processing.
Integration: Cloudera integrates seamlessly with various data sources and tools, enabling users to connect and analyze data from different systems.
Community Support: Cloudera has a large and active community, providing access to resources, support, and best practices.
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Visualization: About 89% of users who reviewed visualization mentioned the system’s ability to create beautiful, unique dashboards.
Ease of Use: Approximately 73% of users who referred to user-friendliness said that the solution is very intuitive and easy to navigate.
Customization: All users who talked about customization liked that they could customize anything in the system.
Customer Service: ClicData provides very positive and outstanding customer service, according to about 56% of users who reviewed support.
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Symbolic Computation: Mathematica excels at handling and manipulating symbolic expressions, making it ideal for tasks that involve algebra, calculus, and other forms of mathematical analysis. This can be particularly useful for financial modeling, risk analysis, and other business intelligence applications that require complex calculations.
Visualization Capabilities: Mathematica offers a wide range of visualization tools that can be used to create high-quality charts, graphs, and other visual representations of data. These visualizations can be interactive, allowing users to explore data from different perspectives and gain deeper insights. This is essential for effectively communicating complex data to stakeholders in a business setting.
Automation and Scripting: Mathematica allows users to automate tasks and create scripts, which can save time and improve efficiency. This can be particularly useful for repetitive tasks, such as data cleaning and analysis. Automating these tasks can free up time for business intelligence professionals to focus on more strategic initiatives.
Machine Learning and AI: Mathematica includes a wide range of machine learning and artificial intelligence (AI) tools that can be used for tasks such as predictive modeling, classification, and anomaly detection. These capabilities are becoming increasingly important for business intelligence, as they can help organizations to identify trends, make better decisions, and gain a competitive advantage.
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Steep Learning Curve: New users often find the interface and functionality overwhelming, requiring significant time and effort to master. This can be especially challenging for analysts who are new to data visualization and analysis tools.
Limited Data Connectivity: Connecting to various data sources can be cumbersome, especially for less common or specialized data formats. This can hinder the ability to integrate data from different systems and create a comprehensive view.
Performance Issues: Large datasets can lead to slow performance and lag, making it difficult to analyze data efficiently. This can be frustrating for analysts who need to work with large volumes of information.
Lack of Advanced Analytics: While Analyst's Notebook offers basic analysis capabilities, it lacks advanced features like predictive modeling or machine learning. This can limit its usefulness for organizations seeking to gain deeper insights from their data.
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Pricing: Around 90% of the users citing cost found it expensive.
Speed: About 71% of the users who discussed performance found it slow when processing large data volumes.
Onboarding Woes: Approximately 67% of the users who reviewed the platform's adoption said there was a steep learning curve.
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Steep Learning Curve: New users often find Cloudera's interface and complex architecture challenging to navigate, requiring significant time and effort to master. This can be especially problematic for teams with limited technical expertise.
Costly Implementation: Cloudera's pricing model can be expensive, particularly for large deployments. The cost of hardware, software licenses, and ongoing support can be a significant barrier for some organizations.
Limited Scalability: While Cloudera offers scalability, some users have reported challenges scaling their deployments to meet rapidly growing data volumes. This can lead to performance bottlenecks and slow query execution times.
Complex Management: Managing a Cloudera cluster can be complex, requiring specialized skills and knowledge. This can be a burden for organizations with limited IT resources.
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Connectivity: The solution lacks plugins to pull data, according to approximately 58% of reviewers commenting on connectivity.
Learning Curve: All users who mentioned a learning curve related to understanding the product said that it was difficult to master, especially for non-technical users.
Updates: All users who talked about updates complained about fixes taking too long to get done.
Features: About 67% of users who spoke about features said that features are limited, and many important ones are unavailable, especially for the cheaper plans.
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Price: Mathematica comes with a hefty price tag, especially for commercial use, which can be a significant barrier for individuals or small businesses.
Learning Curve: The software has a steep learning curve due to its vast functionality and unique syntax, requiring a significant time investment to master.
Closed Ecosystem: Mathematica operates within a closed ecosystem, making it challenging to integrate with other data analysis tools or programming languages commonly used in business intelligence.
Limited Collaboration: Collaboration features are not as robust as those found in other business intelligence platforms, hindering teamwork and knowledge sharing.
Visualization Capabilities: While Mathematica offers visualization tools, they may not be as intuitive or user-friendly as dedicated data visualization software, potentially limiting the ability to create compelling and insightful dashboards.
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User reviews suggest that i2 Analyst's Notebook is a powerful tool for analyzing complex data, but it's not without its flaws. Users praise its ability to visualize data and identify patterns, which is crucial for understanding complex investigations. For example, one user highlighted how the software helped them uncover connections between seemingly unrelated events, leading to a successful prosecution. However, some users complain about the software's steep learning curve and clunky interface, which can be frustrating for new users. One user likened the experience to trying to navigate a maze with a blindfold on. Despite these drawbacks, i2 Analyst's Notebook remains a popular choice for law enforcement and intelligence agencies due to its robust features and ability to handle large datasets. The software's strength lies in its ability to connect the dots, making it ideal for investigations involving complex networks of individuals and organizations. For example, it can be used to track the movement of money, identify potential threats, and analyze social media data. However, the software's complexity can be a barrier for users who are not familiar with data analysis techniques. It's not a tool for casual users; it requires a dedicated team of analysts with the skills and training to use it effectively. Overall, i2 Analyst's Notebook is a powerful tool for organizations that need to analyze large amounts of data and identify patterns. However, it's not for everyone. If you're looking for a user-friendly tool with a gentle learning curve, this might not be the right choice. But if you're serious about uncovering hidden connections and gaining actionable insights, i2 Analyst's Notebook is worth considering.

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Tableau Desktop is a BI solution for data visualization, dashboarding and location analysis. In online reviews, users said they found its drag-and-drop charting a boon for creating charts and maps. Regarding customization, many users praised the platform for its various labeling and design options.I recently tried the Tableau Desktop 2024.1.3 version. The trial is only for 14 days and is enough for a sneak peek into Tableau’s dashboarding and data storytelling capabilities. For more straightforward use cases, Tableau is incredibly user-friendly and fast. Creating a new sheet gives you a canvas to create a visualization. Once you have the required sheets, combining them into a dashboard view is straightforward — select and add.My dataset included healthcare data, including details of patients, their hospital visits and insurance payer details. One use case was to find the total claim settlement amount. I dragged the Total Claims Cost and Payer fields to the column and row shelves, and Tableau gave me a bar graph. The toolbar had single-click options for sorting data from increasing to decreasing values or the other way around.To view the number of encounters by payer, I dragged the Payer field to the row shelf and used the SUM(ROW_COUNT()) function on the column shelf. The chart popped up with more visualization and layout options.I wanted an interactive filter to view the average claim cost by birthdate. I dragged the Birthdate field to the Filters shelf and right-clicked on it to set the end date as October 22, 1961. Selecting Show Filter added a slider conveniently to the right of my visualization. I could see the data for people born before October 22, 1961, and if required, I could change the end date.Another use case would be viewing the data by the type of hospital visits — how many people were inpatients, outpatients or those who needed emergency care. I dragged and dropped the Total Claims Cost and Payer fields into columns and rows, respectively. Similarly, I dropped Encounterclass into the Filters shelf and clicked on Show Filter to enable a checkbox on the screen. It had all the categories of visits, giving users the option to select the desired views.One-fourth of the users discussing adoption said there was a steep learning curve. Tableau relies on Python and R scripts for statistics in its visualizations. It's where the named licenses can prove to be a blessing, as you can opt to train upcoming Creators and Explorers. We recommend factoring in training if you want to hit the ground running.Some reviewers felt discounted packages for business editions should be available, similar to the free student licenses. At $70 per user, the Creator license can seem costly when compared to Power BI ($9.99 per user) and Qlik Sense ($30 per user).Here's the good news, though. Its built-in user management acts as a permissions layer for your organization - users can only access the relevant content. Plus, an organization will have very few Creators and a greater number of Viewers and Explorers, and the license fee reduces from Creator to Explorer to Viewer.We recommend opting for a wise license combination to get the most out of the product.On the upside, the vendor constantly releases new features, the latest one being Einstein CoPilot in beta.Overall, Tableau is a competitive BI solution, but if the pricing seems inflexible, quite a few other solutions offer live insights and advanced analytics out of the box.

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Is Cloudera the answer to your data management woes, or is it just a bunch of hot air? User reviews from the past year paint a mixed picture of Cloudera. While some users praise its flexibility and ability to handle large datasets, others find it cumbersome and expensive. Cloudera's hybrid cloud approach, allowing users to deploy on-premises or in the cloud, is a major selling point for many. However, some users find the platform's complexity a barrier to entry, especially for those without extensive experience in data management. Cloudera's integration with other tools, such as Apache Hadoop, is a key differentiator, but some users report issues with compatibility and performance. Cloudera is best suited for large enterprises with complex data needs and a dedicated team of data engineers. Its robust features and scalability make it a powerful tool for organizations that require a comprehensive data management solution. However, smaller businesses or those with limited technical resources may find Cloudera's complexity and cost prohibitive.

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Clicdata is a robust platform with a multitude of data manipulation options and robust data processing capabilities. The cloud-based system is simple enough to get the results businesses need. Readymade connectors are available to connect and fuse data from multiple data sources. However, some users complained about connectivity issues with third parties. Users also complained about the lack of API integrations and plugins to pull data. Visualizations are stunning with customizable dashboards that are quick and easy to set up and have a great set of widgets. Users were generally happy with the customer service, stating that they were positive and reactive. Video tutorials and documentation could be improved. Some important features, such as roll back and database editing, are not available for all plans. Learning and getting used to the system can take time for the non tech-savvy. Overall, it’s a flexible, intuitive and cost-effective tool to visualize business data.

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Let's crunch some numbers and see what users have to say about Mathematica! Mathematica has garnered a reputation as a powerful computational tool, particularly in academic and research settings. Users frequently praise its symbolic computation capabilities, allowing them to manipulate and solve complex mathematical expressions and equations with ease. This strength sets Mathematica apart from competitors like MATLAB, which primarily focuses on numerical computation. Mathematica's notebook interface also receives positive feedback for its ability to combine code, visualizations, and text in a single document, facilitating reproducible research and clear communication of findings. However, Mathematica's steep learning curve and high price point are often cited as drawbacks. Users transitioning from other programming languages may find Mathematica's syntax and functional programming paradigm challenging to grasp initially. Additionally, the cost of a Mathematica license can be prohibitive for individual users or small businesses. Overall, Mathematica is best suited for researchers, scientists, and engineers who require a comprehensive tool for symbolic and numerical computation, data analysis, and visualization. Its extensive functionality and ability to handle complex mathematical problems make it an invaluable asset in these fields. However, individuals or organizations with limited budgets or those seeking a more user-friendly option may want to explore alternative software solutions. Keep in mind that software is constantly evolving, so it's always a good idea to check for the latest updates and user reviews to make an informed decision.

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