Looker vs Jaspersoft

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Our analysts compared Looker vs Jaspersoft based on data from our 400+ point analysis of Embedded Analytics Tools, user reviews and our own crowdsourced data from our free software selection platform.

Looker Software Tool
Jaspersoft Software Tool

Product Basics

Looker is a web-based analytics solution that offers businesses the ability to explore, discover, visualize and share data insights. Enterprises can view data sources and drill down into data to better understand their business and metrics.

Using a simple proprietary modeling language, this system helps define data relationships while bypassing SQL. It facilitates data literacy and accessibility, irrespective of technical skill levels. It was acquired by Google on June 6, 2019, for $2.9 billion.
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Jaspersoft is a reporting and data analytics suite built around the JasperReports engine that helps businesses create seamlessly embeddable, pixel-perfect reports, dashboards and visualizations. It empowers businesses with the self-service capabilities to find answers to data questions through beautifully rendered visuals that are easy to understand and explain. Bridging the gap between insight and action, it promotes ownership of the decision-making process across organizations.

It includes JasperReports Library, JasperReports Server and JasperReports Studio. The vendor also offers a cloud and microservice-embeddable reporting engine, JasperReports IO.
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$2,900 Monthly
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$233 Monthly, quote-based
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Mobile

Product Assistance

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Videos
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Knowledge Base
24/7 Live Support
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24/7 Live Support

Product Insights

  • Real-Time Data: Keep up to date on the most recent numbers through real-time updates to dashboards and other visualizations.
  • Local Database: Uses an organization’s proprietary database to collect data — no need to rely on parallel data pipelines or data extracts.
  • Self-Service BI: Explore data through the self-serve function and then refine the automatically generated visualizations. Create custom dashboards to reflect specific KPIs based on the business’ specific needs.
  • Virtual Schema: Create live connections to over 35 SQL databases through a code-based virtual query-time schema. Keeps data visualizations secure and up-to-date.
  • Embedded Analytics: Embeddable through SSO, it can deploy into third-party solutions like a CRM or ERP as an embedded iframe or through Javascript. Empowers other software solutions with BI capabilities including reliable data, self-service analytics, actionable insights and intuitive dashboards.
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  • Built for Embedding: This system isn’t just modified to embed — it is designed to integrate on both the front and back ends of any host application. Its API-first approach grants direct access to a range of functionality from within other solutions.
  • Self-service BI: Improves data literacy across the organization through self-service analytics. Create reports and visualizations with an easy drag-and-drop report builder.
  • Flexible Architecture: Leverage its data-agnostic architecture to draw from heterogeneous data, access any database management system and work within a variety of systems. Deploy on-premises, in the cloud or even to containerized or microservices-based architectures.
  • Intuitive Design: Develop pixel-perfect reports with a custom module that integrates into the host application. Offers a wide variety of out-of-the-box reports as well as custom visualizations to address business needs.
  • Collaborate Across Departments: Export reports in a variety of formats to share via email, save to a shared repository to allow others to view or publish them to a website or host application.
  • Identify Data Trends: Discover patterns and trends in business data and unearth otherwise unseen trends through different data visualization types. Drill down into information to find out more.
  • Delivers Business Insights: Make more informed business decisions and plan for the business’ future based on historical trends and forecasts. Drill down, slice and dice, pivot and filter to quickly perform advanced analytics on business-critical data.
  • Secure Integrations: Maintains integrity of sensitive business data across connected applications. Enables seamless external authentication and authorization when integrating with other applications.
  • Developer-focused: Modify its open source code to deploy custom features to suit business needs. Develop and integrate applications with the support of multi-tenancy, flexible APIs and the online community.
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  • Automated Modeling: Connects to relational databases and automatically generates models from the database schema.
  • Intuitive Visualizations: Generates visualizations in real time directly from the specified data source. Choose from an expansive library of visualization options like bar graphs, pie charts, Sankey diagrams, spider web charts, sunburst graphs, chord diagrams, heatmaps, funnels, treemaps and many more.
  • Time Zone Handling: Incorporates data seamlessly into the visualization, regardless of what time zone it is coming from.
  • LookML Data Modeling Language: Create scalable, reusable data models through the proprietary SQL-based data modeling language LookML.
  • Pre-Built Analytics Code: Use its Blocks feature as a starting point for building data analytics models with customizable code blocks. Includes optimized SQL patterns, custom visualization options, pre-built data models and more.
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  • Flexible Architecture: Deploy on-premises, in the cloud or within a container. Simplify mobile and web-integration with a RESTful web service architecture. Manage the whole BI deployment from a single, central hub.  
  • Reporting: Drag and drop to create on-the-spot interactive reports for dashboarding and sharing. Schedule and distribute reports via email, either on a one-off or recurring basis. 
  • Branding: Customize the interface — logos, font colors and styles, spacing and graphic elements — to match the brand through theming and white labeling. 
  • Security: A repository connects to existing identity management systems to centralize and secure report views. Track report access and usage for compliance. Granular permissions allow for security down to the cell and column level. 
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Product Ranking

#1

among all
Embedded Analytics Tools

#13

among all
Embedded Analytics Tools

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Analyst Rating Summary

88
79
85
78
96
89
80
73
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Embedded Data Visualization
Embeddability
Security
Embedded Reporting
Platform Capabilities
Security
Embeddability
Embedded Reporting

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Looker
Jaspersoft
+ Add Product + Add Product
Data Management Embeddability Embedded Analytics Embedded Data Visualization Embedded Reporting Mobile Capabilities Platform Capabilities 85 96 80 99 91 62 91 78 89 73 82 85 69 80 0 25 50 75 100
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80%
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86%
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14%
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100%
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83%
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

88%
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12%
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User Sentiment Summary

Great User Sentiment 1836 reviews
Great User Sentiment 495 reviews
88%
of users recommend this product

Looker has a 'great' User Satisfaction Rating of 88% when considering 1836 user reviews from 5 recognized software review sites.

81%
of users recommend this product

Jaspersoft has a 'great' User Satisfaction Rating of 81% when considering 495 user reviews from 4 recognized software review sites.

5.0 (20)
n/a
4.4 (1070)
4.0 (105)
4.6 (141)
n/a
n/a
4.3 (27)
4.4 (371)
4.2 (89)
4.1 (234)
4.0 (274)

Synopsis of User Ratings and Reviews

Reporting: Looker features strong reporting features that offer a degree of granularity and scheduling that 100% of users who mention reporting evaluate as a strong benefit.
Support: Of the users who say they’ve contacted customer support, 95% say the team’s quick and informative responses are a plus.
Data Accessibility: All users who mention accessibility to data say Looker does this well, distributing insights to employees across departments and teams with ease, with 100% of users mentioning this feature believing it is a benefit.
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Pricing: All users who reviewed pricing said that the platform, being open-source, is cost-effective.
Data Integration: Around 83% of the users who discussed data source connectivity said that the solution pulls data seamlessly from a wide range of data sources.
Functionality: Citing versatility and scalability, approximately 77% of the users who reviewed its functionality said that the tool is easily embeddable in proprietary applications.
Support and Online Community: Support is responsive and the online community is helpful, according to 69% of the users who mentioned them.
Ease of Use: Around 68% of the users who discussed the interface said that it is easy to create reports and data visualizations with the tool.
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Learning Curve: About 74% of users who touch on the platform’s ease of use say that the confusing documentation, lack of training opportunities and difficulty of using programming language make Looker a tough tool to pick up as a beginner.
Setup: Of the users who mention implementation, 81% say that setting up the platform is difficult, with integrations not being as plug-and-play as competitors and assistance from IT necessary to the setup process.
Speed: Approximately 87% of users who comment on the platform’s speed say that it is slow to render certain queries and often takes a while to load.
Functionality: About 78% of users who talk about Looker’s features say that they are left wanting many functions and find the ones that it does have limited in customization or too complex to use easily.
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Performance: Around 87% of the users who reviewed performance said that debugging errors can be tricky and the platform needs to improve in this regard.
Learning Curve: Approximately 67% of the users who mentioned onboarding said that there is a steep learning curve to using the solution.
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Looker is a forerunner in the business intelligence field for a reason; it generates reports that include easy sharing via link, automatic scheduling and a level of granular detail that allows for deeper analysis below the surface. It excels in its filter and drill-down features and creates unique URLs when users make changes to data, leading to enhanced sharing. However, one of its biggest strengths could also be considered one of its biggest weaknesses: its proprietary programming language, LookML which is used to construct SQL queries in the platform. While a flexible and powerful data querying language, of course, LookML isn’t the most accessible to non-technical users, which means that Looker requires an IT or data team to access its full capabilities and has a steep learning curve. Users also note that its data visualizations, while simple and easy to understand, are quite basic and lacking in customization options, particularly in comparison to competitors. Some users say that it may be more appropriate for internal reporting than presentation to shareholders and end-users because of its bare-bones visualization options. However, Looker truly shines when used by enterprises, with its scalability and data accessibility making it a stellar solution that can align departments and provide thousands of users access to data insights. Its price point reflects this, with its pricing being prohibitive to startups as about 88% of users who comment on its cost remark. Overall, Looker is a solid pick for larger businesses that have a team of power users who can maximize its functionality and set it up to deliver to employees across an entire organization.

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Jaspersoft is a suite of integrated products that offer solutions for creating, sharing and securely managing KPI-focused reports, dashboards and visualizations. All users who reviewed the platform’s cost-effectiveness said that its being open-source is a major plus. Most of the users who mentioned data connectivity said that, besides seamlessly integrating with a multitude of data sources out-of-the-box, it helps businesses develop custom sources to import as much data as possible. Most of the users who discussed its functionality said that the tool is easily embeddable in host applications, and scales easily to create and display visualizations and reports in-application. Support is responsive and online communities are proactive and helpful, according to a majority of the users who discussed them. Many of the users who reviewed its interface said that they find it easy to start creating reports with the tool. Most of the users who discussed its reporting capabilities said that it helps them customize reports in a variety of formats and schedule sharing with teams via email. A majority of the users who reviewed data visualization said that the tool helps them present data in a wide range of visually appealing formats, such as charts, graphs and cross-tabs. On the flip side, according to a majority of the users who reviewed performance, the platform is prone to infrequent bugs, and debugging them can be time consuming. Many of the users who discussed ease of adoption said that there is a steep learning curve, possibly due to inadequate documentation. Some users who mentioned ease of reporting said that it is time and effort-intensive to create professional-looking reports. In summary, Jaspersoft is a suite of versatile and customizable reporting and analytics solutions that help the end-user find answers to the data questions that are specific to their business, though there might be a significant learning curve for adoption by teams, with Java at its back-end.

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