Looker Studio vs Vertica

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Our analysts compared Looker Studio vs Vertica 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.

Vertica Software Tool

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.
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Vertica is an analytics and data exploration platform designed to ingest massive quantities of data, parse it, and then return business insights as reports and interactive graphics. Elastically scalable, it provides batch as well as streaming analytics with massively parallel processing, ANSI-compliant SQL querying and ACID transactions.

Deployable in the cloud, on-premise, on Apache Hadoop and as a hybrid model, its resource manager enables concurrent job runs with reduced CPU and memory usage and data compression for storage optimization. A serverless setup and advanced data trawling techniques help users store and access their data with ease.
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$3,000 Monthly
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$3.19/Hour, Usage-Based
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Tailored to your specific needs
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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.
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  • Improve Decision Making: Get business insights like workforce metrics, retail information, vital proprietary intel and usage data through data ingestion from diverse sources. Its high-level overview of diverse data pools empowers data-driven business decisions. 
  • Self-Service Analytics:  Provide self-service reporting and analysis for users of all skill levels — from non-technical users to analysts — at a more sophisticated level, using custom formulas and algorithms. 
  • Big Data Insights: Get intel and insights through large data silos to enrich business decisions and diagnose pain points or attach victories to actionable data. 
  • Gain a Competitive Advantage: Take on competitors and optimize business operations through data-informed decision-making. 
  • Flexible Licensing: Buy the product outright, purchase a subscription or pay by the hour with its flexible licensing. Hourly usage comes with full support and requires no commitment. 
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  • 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.
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  • Streaming Analytics: Connects to Apache Kafka for IoT data analysis in real time. Analyzes and manages large volumes of data from IoT devices such as machine and sensor data for buildings, vehicles, medical systems, smart devices and wearables. 
  • Machine Learning: Get automated insights and deliverables through machine learning modules that automatically digest and parse large data portions. ML modules are built into its core — no need to pay for them or install them separately. 
  • Software Only: Work with a robust software interface with dedicated IT resources. All data warehousing, storage and processing infrastructure is hosted offsite. 
  • Fast SQL Databases: Store and retrieve data through highly scalable and speedy SQL databases. 
  • Massively Parallel Processing: Get increased speed and scalability at larger scales by running two processes side-by-side through massively parallel processing. 
  • Columnar Storage: Read only the most important sets of data first through columnar storage that greatly speeds up data retrieval. 
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Product Ranking

#22

among all
Big Data Analytics Tools

#31

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

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Augmented Analytics Computer Vision And Internet Of Things (IoT) Dashboarding And Data Visualization Data Management Data Preparation Geospatial Visualizations And Analysis Machine Learning Mobile Capabilities Platform Capabilities Reporting 38 0 94 74 74 55 65 100 0 25 50 75 100
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User Sentiment Summary

Great User Sentiment 1074 reviews
Great User Sentiment 203 reviews
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.

88%
of users recommend this product

Vertica has a 'great' User Satisfaction Rating of 88% when considering 203 user reviews from 3 recognized software review sites.

4.4 (426)
4.5 (108)
4.3 (365)
4.3 (65)
4.2 (283)
4.2 (30)

Awards

SelectHub research analysts have evaluated Looker Studio and concluded it earns best-in-class honors for Reporting.

Reporting Award

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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.
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Data Processing: All users who mention computing say that the tool’s columnar storage and parallel processing enable faster querying.
Performance: Almost 72% of the users who review performance say the platform is robust and reliable with high availability.
Functionality: Around 56% of the users who review functionality say that it is feature-rich and performs as expected.
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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.
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Cost: All users who mention cost say that data storage limits can be restrictive and the tool is expensive.
Community Support: Citing lack of technical community support, approximately 50% of the users say that it makes adoption difficult.
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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.

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Vertica Analytics is a big data relational database that provides batch as well as streaming analytics to enterprises. Citing a robust, distributed architecture with massively parallel processing (MPP), all users who review data processing say that it performs extremely fast computing with I/O optimization, and columnar storage makes it ideal for reporting. Approximately 72% of the users who review performance say that it is a reliable tool with high availability and virtually no downtime, with K-safety protocol in place for efficient fault tolerance. Citing its feature set, around 56% of the users say that they are satisfied with its elastic scalability, rich analytical functions and excellent clustering technology. On the flip side, almost 50% of the users who mention technical and community support say that it is inadequate and possibly contributes to the platform’s steep learning curve. All users who review its cost say that the solution is expensive, with restrictive data storage limits. In summary, Vertica is a big data and analytics platform that provides streaming analytics with lightning-fast query speeds, machine learning and forecast capabilities.

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