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Looker Studio vs 1010data

Last Updated: November 18th, 2024

Our analysts compared Looker Studio vs 1010data based on data from our 400+ point analysis of Big Data Analytics Tools, user reviews and our own crowdsourced data from our free software selection platform.

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Product Basics

Google Looker Studio is a robust data analytics and business intelligence platform designed to help organizations extract valuable insights from their data. It offers a user-friendly interface for data exploration, powerful visualization tools, and real-time data monitoring. Key features include customizable dashboards, SQL-based queries, and seamless data integration from various sources. Users can collaborate within the platform, fostering a data-driven culture. Looker Studio empowers users to make data-informed decisions, with the ability to create tailored reports and leverage machine learning for predictive analytics. It suits businesses of all sizes and industries, facilitating scalable analytics and promoting data-driven decision-making.

1010data is a market intelligence and enterprise analytics solution that helps track consumer insights and market trends. In addition to vendor-critical insights, it provides brand performance metrics to buy-side entities. Seamlessly embeddable, it can also function as a standalone private-label option. Data scientists and statisticians leverage its integration with R to view and query data tables.

It enables analytics development through its QuickApps framework. By tracking consumer spending trends and brand performance, it enables businesses to better position their products in the marketplace.

$3,000 Monthly

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$12,000/User, Annually

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Product Insights

Actionable Insights: Google Looker Studio empowers businesses to derive actionable insights from their data. It goes beyond raw data to provide meaningful, data-driven recommendations and strategies.
Unified Data Platform: Looker Studio offers a unified data platform that brings together data from various sources, enabling a holistic view of your organization's data. This centralization streamlines decision-making and enhances data consistency.
Scalable Analytics: Scalability is a key advantage of Looker Studio. Whether you're a small startup or a large enterprise, it can scale with your data needs, ensuring you have the analytics power you require as your business grows.
Customizable Dashboards: With Looker Studio, you can create customized dashboards tailored to your specific needs. This flexibility allows you to focus on the metrics that matter most to your organization.
Collaborative Environment: Collaboration is made easy with Looker Studio. Teams can work together within the platform, share insights, and collaborate on data-driven decisions, fostering a data-driven culture within your organization.
Real-Time Data: Stay up-to-date with real-time data insights. Looker Studio provides real-time analytics, enabling you to make informed decisions quickly and adapt to changing circumstances.
Enhanced Data Security: Security is a top priority, and Looker Studio offers robust data security features, including role-based access control and encryption, ensuring your data remains protected.
Reduced Time-to-Insight: Looker Studio's intuitive interface and powerful querying capabilities reduce the time it takes to extract valuable insights from your data, accelerating decision-making processes.
Optimized Performance: The platform optimizes data performance, ensuring that you can analyze large datasets efficiently, even in complex analytical scenarios.
Adaptive Analytics: Looker Studio adapts to changing business needs, allowing you to evolve your analytics strategy as your organization grows and your data requirements change.

Track Consumer Trends: Discover how consumers search for and assess products before buying. Identify product affinities by segments and add value through basket analysis to expand the category assortment. Analyze customers based on geography and spending tiers to create targeted marketing strategies.
Analyze Buyer Behavior: Drive customer retention and higher loyalty by analyzing shopper lifecycles by retailer with geographical drill-down capabilities. Track the path-to-purchase customer experience and the buyer acquisition process. Monitor points of purchase — whether in-store or online, which stores were visited pre-purchase and the items considered before buying.
Maximize ROI: Assess shopping behavior at the category, brand, merchant and product levels. Analyze conversion rates and key metrics’ progression over time by new, lost and retained customers. Uncover churn rate figures by segment and spending capacity to drive remedial strategies.
Track the Competition: Track the product’s market position across hundreds of consumer goods categories. Identify disruptors from other brands on the market. Justify specific product category positioning with data on emerging competitors. Analyze merchandising strategies and promotional spend across merchants.
Application Development: Create end-to-end analytic applications directly atop proprietary granular data through its QuickApps framework and iterate when needed. Deploy them via desktop web, mobile devices or external applications with legacy governance parameters.
Buy-Side Insights: Inform buy-side investment decisions by tracking consumer spending, transactions and basket size of multiple brands. Analyze company performance by quarter, month, week and day. Get granular insights on sector trends, customer segments or geospatial consumer data, refreshed daily.
Data Security: Secure by design, it has a stateful architecture for privately allocated, separate user sessions. It is HIPAA compliant and SOC 2 Type II certified, with support for single sign-on via SAML 2.0 authentication.

Interactive Dashboards: Create dynamic, interactive dashboards that allow users to explore data, drill down into details, and gain insights effortlessly.
Customizable Reports: Generate tailored reports with a variety of visualization options, including charts, graphs, and tables, to communicate data findings effectively.
Data Exploration: Easily explore and analyze data from multiple sources with intuitive data exploration tools, making it simple to uncover hidden patterns and trends.
SQL-Based Queries: Leverage the power of SQL for querying and manipulating data, enabling advanced users to perform complex analyses and calculations.
Data Integration: Seamlessly integrate data from various platforms and sources, including databases, cloud services, and spreadsheets, for a holistic view of your organization's data.
Machine Learning Integration: Incorporate machine learning models and predictive analytics into your data analysis, allowing for data-driven predictions and recommendations.
Collaborative Workspace: Foster collaboration among team members by sharing data, insights, and reports within the platform, promoting data-driven decision-making across the organization.
Role-Based Access Control: Ensure data security with role-based access control, granting different levels of access to users based on their roles and responsibilities.
Real-Time Data Monitoring: Keep a pulse on your data with real-time data monitoring and alerts, allowing you to respond promptly to changing conditions and opportunities.
Scalable Architecture: Scale your analytics infrastructure as your organization grows, accommodating increasing data volumes and user demands without sacrificing performance.

Cloud-Native: Built from the ground up to enable large-scale, multi-party data sharing and analytics in the cloud.
Advanced Analytics: Derive meaningful data insights by creating advanced data models against complex data sets. Perform time-series analysis, statistical functions and machine learning through its functions library.
Visualizations: Create charts, graphs, heat maps and more through its rich functions library and a visual expression builder. Leverage the power of analytics through integration with visualization tools like Tableau, Logi Analytics, Information Builders and Metric Insights.
Reporting: Acquire business-critical insights through standardized reporting, consistent KPI monitoring and guided ad-hoc reporting. Gain confidence in data with full visibility into proprietary information and calculation lineage. Save data results locally or to a file system via FTP, or in a data table. Or, export it in CSV, PDF or Excel format.
Data Management: Pull and blend disparate, complex data sets on-the-fly into an analysis-ready format. Assign role-based permissions for access to tables, rows and columns. Tracks usage activity through audit trails and logs that include the account information, IP address and tables accessed.
Integrations: Run advanced data analytics via the R console through R1010. Easily access data tables and view them in Tableau with real-time integration, data discovery and SQL support. Create spreadsheets that access the 1010 data platform via its Excel add-in.
Universal Calculation Library: Quickly answer data-based queries by analyzing complex datasets through centralized and standardized calculations.

Product Ranking

#22

among all
Big Data Analytics Tools

#44

among all
Big Data Analytics Tools

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Analyst Rating Summary

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Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Looker Studio

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User Sentiment Summary

86%

of users recommend this product

Looker Studio has a 'great' User Satisfaction Rating of 86% when considering 1074 user reviews from 3 recognized software review sites.

78%

of users recommend this product

1010data has a 'good' User Satisfaction Rating of 78% when considering 25 user reviews from 2 recognized software review sites.

4.4 (426)

n/a

4.3 (365)

4.0 (18)

4.2 (283)

3.7 (7)

Awards

Synopsis of User Ratings and Reviews

Intuitive Interface: Users appreciate Looker Studio's user-friendly interface, making it easy to navigate and perform data analysis tasks.

Powerful Visualization: The platform offers a wide range of visualization options, enhancing data presentation and making insights more accessible.

Collaborative Tools: Users value the collaborative features, enabling teams to work together seamlessly, share insights, and drive data-driven decisions.

Real-Time Insights: Looker Studio's ability to provide real-time data insights helps users stay informed and agile in their decision-making processes.

Customization: Users can tailor dashboards and reports to their specific needs, allowing for a personalized analytics experience.

Robust Data Processing: Handles large volumes of structured and unstructured data efficiently, enabling comprehensive data analysis.

Scalable Architecture: Supports growing data volumes and user demands, ensuring seamless performance as your business expands.

Advanced Analytics Capabilities: Provides sophisticated machine learning algorithms and statistical techniques for in-depth data exploration and predictive modeling.

User-Friendly Interface: Intuitive dashboards and visualization tools simplify data analysis, making it accessible to users of all technical levels.

Data Security and Compliance: Adheres to industry standards and regulations, ensuring the protection and privacy of sensitive data.

Cost-Effective Solution: Offers flexible pricing models and cloud-based deployment options, reducing upfront investment and ongoing maintenance costs.

Excellent Customer Support: Provides dedicated technical support and documentation, ensuring smooth implementation and ongoing assistance.

Community and Resources: Fosters a vibrant user community and offers extensive resources, including tutorials, webinars, and case studies.

Integrations with Other Tools: Seamlessly connects with popular business intelligence and data visualization tools, enhancing data analysis capabilities.

Proven Track Record: Trusted by numerous businesses and organizations, delivering successful data-driven initiatives.

Steep Learning Curve: Some users find Looker Studio challenging to learn, especially if they lack SQL or data analysis skills, leading to initial difficulties.

Data Integration Complexity: Integrating data from various sources can be complex, requiring substantial setup and maintenance efforts for certain users.

Resource Intensiveness: Resource-intensive tasks, such as processing large datasets, may lead to performance issues, causing frustration for some users.

Costs: The pricing structure can be a drawback for organizations with tight budgets, as Looker Studio's pricing may not be suitable for all user needs.

Limited Offline Functionality: Some users desire more robust offline capabilities, as Looker Studio primarily operates in an online environment.

Complexity: Challenging to use for non-technical users, requiring specialized knowledge and skills.

Limited Customization: Pre-defined templates and limited flexibility, hindering the adaptation to specific business needs.

Data Quality Issues: Inconsistent data quality and lack of data validation tools, leading to unreliable insights.

Scalability Challenges: Struggles to handle large and complex datasets, resulting in performance issues and delayed analysis.

Vendor Lock-in: Proprietary technologies and limited data portability, restricting users from switching to alternative solutions.

Costly Licensing: Expensive licensing fees and hidden costs, making it unaffordable for some organizations.

Lack of Real-time Analysis: Inability to process and analyze data in real-time, hindering timely decision-making.

Insufficient Support: Limited technical support and documentation, leaving users struggling with implementation and troubleshooting.

Privacy Concerns: Concerns about data privacy and security, as tools often require access to sensitive information.

Steep Learning Curve: Extensive training and time investment required to master the tools, hindering adoption.

User reviews for Google Looker Studio indicate both strengths and weaknesses. Many users praise its intuitive interface, which simplifies data analysis. The platform's powerful visualization tools and real-time insights are widely appreciated, enabling users to present and act on data effectively. Collaboration features also receive positive feedback, facilitating teamwork and informed decision-making. However, several users highlight challenges. A notable drawback is the steep learning curve, especially for those without SQL or data analysis skills. Some users find data integration complex and resource-intensive, potentially impacting performance. Cost considerations also arise, with users noting that Looker Studio's pricing may not align with all budgets. In comparison to similar products, Looker Studio stands out for its user-friendly interface and strong visualization capabilities. However, some users mention limitations in offline functionality, which competitors may handle better. Overall, Google Looker Studio appears to be a valuable tool for data analysis and collaboration, but it may require a learning curve and careful consideration of budget constraints.

1010data's user reviews over the past year paint a picture of a robust big data analytics tool with strengths in data visualization, ease of use, and customer support. Users have praised its intuitive interface, which allows even non-technical users to quickly create and share insights. Additionally, the tool's advanced visualization capabilities, such as interactive dashboards and customizable charts, have been highlighted as key differentiators, enabling users to explore and present data in a visually appealing and impactful manner. However, some users have expressed concerns regarding the tool's scalability and performance when handling extremely large datasets. Additionally, the lack of certain advanced features, such as real-time analytics and predictive modeling, has been noted as a weakness compared to more comprehensive analytics platforms. Nonetheless, 1010data remains a popular choice for businesses seeking a user-friendly and visually oriented tool for their data analytics needs, particularly for those with smaller to mid-sized datasets.

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FAQ

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