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Invantive SQL VS Looker

Compare Invantive SQL VS Looker and see what are their differences

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Invantive SQL logo Invantive SQL

Invantive's custom SQL parser and processing engine is a feature-rich set of SQL statements...

Looker logo Looker

Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
  • Invantive SQL Landing page
    Landing page //
    2022-01-30
  • Looker Landing page
    Landing page //
    2023-10-11

Looker is a business intelligence platform with an analytics-oriented application server that sits on top of relational data stores. The Looker platform includes an end-user interface for exploring data, a reusable development paradigm for creating data discovery experiences, and an extensible API set so the data can exist in other systems. Looker enables anyone to search and explore data, build dashboards and reports, and share everything easily and quickly.

Invantive SQL features and specs

  • Versatility
    Invantive SQL is designed to work with a wide variety of data sources, including cloud services, traditional databases, and proprietary applications, allowing for flexible and comprehensive data management.
  • User-friendly Syntax
    It uses a SQL-like syntax which is familiar to many users, making it easier to learn and use for those who have experience with SQL.
  • Extensive Connectivity
    Offers connectivity to over 75 platforms, enabling integration with numerous internal and external data sources without the need for extensive custom development.
  • Cross-platform Support
    Supports multiple operating systems, enhancing its utility across different parts of an organization regardless of the OS being used.
  • Strong Data Manipulation
    Provides powerful capabilities for data extraction, transformation, and loading (ETL), which is essential for comprehensive data analysis and reporting tasks.

Possible disadvantages of Invantive SQL

  • Complexity for Beginners
    Despite a familiar syntax, the breadth of features and capabilities might be overwhelming for users who are new to database management or SQL.
  • Licensing Costs
    The cost associated with using Invantive SQL can be high for small businesses or individual users, particularly when accessing advanced features or extensive platform connectivity.
  • Dependency on Internet
    For cloud data sources, a stable internet connection is required, which can be a limitation in environments with unreliable connectivity.
  • Learning Curve for Advanced Features
    While the basic SQL is straightforward, mastering the advanced features and integrations of Invantive SQL may require significant training and experience.
  • Limited Offline Capabilities
    Some functionalities might be restricted or unavailable in offline mode, which could hinder data operations in areas with limited internet access.

Looker features and specs

  • Powerful Data Modeling
    Looker uses LookML, a proprietary modeling language, making it possible to transform raw data into meaningful metrics and dimensions, providing deep insights without needing SQL expertise.
  • Ease of Use
    Its intuitive user interface enables non-technical users to create visualizations and reports with relative ease, reducing the workload on data teams.
  • Customization
    Looker offers extensive customization options for data exploration and visualization, allowing dashboards and reports to be tailored to specific user needs.
  • Embedded Analytics
    Provides robust capabilities for embedding analytics into applications or portals, broadening the scope of data-driven decision-making throughout the organization.
  • Real-time Data
    Supports real-time data analytics by querying live data, which ensures up-to-date insights and helps in making timely decisions.
  • Integrations
    Looker integrates seamlessly with a wide range of databases and cloud data warehouses, including Google BigQuery, Amazon Redshift, and Snowflake.

Possible disadvantages of Looker

  • Learning Curve
    LookML, while powerful, can be complex for beginners who are not already familiar with data modeling or SQL, resulting in a steep learning curve.
  • Cost
    Looker can be expensive, especially for small businesses, as pricing is typically based on the number of users and the data volume processed.
  • Performance
    Query performance can sometimes be slow, especially with complex data models and large data sets, which may impact the user experience.
  • Customization Constraints
    While Looker offers great customization, certain advanced customizations may require significant expertise and time, posing a potential barrier.
  • Limited Offline Capabilities
    Looker is primarily designed for online use, so it lacks robust offline capabilities, which can be a limitation for users who need access to data in situations without internet connectivity.

Analysis of Looker

Overall verdict

  • Looker is generally considered a robust solution for organizations looking to enhance their data-driven decision-making capabilities. Its flexibility, extensibility, and ease of use make it a strong contender in the BI space, though it may require some learning and setup effort to fully utilize its features.

Why this product is good

  • Looker is a data analytics platform that provides powerful tools for data exploration, visualization, and business intelligence. It offers a user-friendly interface and is known for its ability to connect to a wide variety of data sources. Looker's LookML, a modeling language, allows users to define data relationships and calculations, making it easier to create custom reports and dashboards. Additionally, it integrates well with other tools and supports collaboration with data teams.

Recommended for

  • Companies seeking scalable and flexible business intelligence solutions.
  • Organizations that need to integrate multiple data sources.
  • Teams looking for a collaborative platform with custom reporting capabilities.
  • Users who prefer a code-based approach to data modeling and analysis.

Invantive SQL videos

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Looker videos

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Looker Review

More videos:

  • Tutorial - How To Use Looker as a Business User
  • Review - Looker Review - Off The Shelf Reviews

Category Popularity

0-100% (relative to Invantive SQL and Looker)

Invantive SQL

Looker

Web Service Automation
100 100%
Web Service Automation
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Automation
100 100%
Automation
0% 0
Business Intelligence
0 0%
Business Intelligence
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Invantive SQL and Looker

Invantive SQL Reviews

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Looker Reviews

Explore 7 Tableau Alternatives for Data Visualization and Analysis
Looker Studio, formerly Google Data Studio, is a user-friendly business intelligence tool that transforms raw data into interactive, customizable dashboards and reports. It integrates seamlessly with Google's ecosystem and supports various data sources, including Google Analytics and BigQuery. Looker Studio offers robust visualization capabilities and real-time collaborative...
Source: www.draxlr.com
Explore 6 Metabase Alternatives for Data Visualization and Analysis
To find the best Metabase alternative for your business, start by listing your specific requirements, such as customer support, data integrations, visualization options, user access controls, and budget. Compare these needs with the features of other BI tools like Draxlr, Tableau, Power BI, Looker, or Holistics. Once you've identified a few suitable options, take advantage...
Source: www.draxlr.com
5 best Looker alternatives
In this blog, we’ll dive into the best 5 Looker alternatives currently dominating the market. Whether you're seeking a Looker alternative with enhanced features, better pricing, or a more tailored fit for your analytics needs, this guide will help you discover BI tool that could be a perfect match for your business.
Source: www.draxlr.com
10 Best Alternatives to Looker in 2024
Exploring alternatives to Looker isn't just about finding a different tool; it's about uncovering solutions that better address your specific business challenges and operational workflows. Here, we highlight five areas where Looker's limitations might lead you to consider other options.
Source: www.sigmacomputing.com
6 Best Looker alternatives
So who are Looker’s competitors? Our top 5 Looker alternatives provide data visualisation and exploration for business intelligence but also offer lower price points, less of a learning curve, and more accessibility for your non-tech team.
Source: trevor.io

Social recommendations and mentions

Based on our record, Looker seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Invantive SQL mentions (0)

We have not tracked any mentions of Invantive SQL yet. Tracking of Invantive SQL recommendations started around Mar 2021.

Looker mentions (14)

  • edit home page to add folder section
    Then in the "foldername" you can have 5 folders, each one for each of the groups. This means that when group1 enters looker.com, his default page will be the "foldername", which contains group1folder (he cannot see the rest of the folders if you have set the permissions correctly for each folder). Source: about 2 years ago
  • Stars, tables, and activities: How do we model the real world?
    Even if you want to make Wide Tables, combining fact and dimensions is often the easiest way to create them, so why not make them available? Looker, for example, is well suited to dimensional models because it takes care of the joins that can make Kimball warehouses hard to navigate for business users. - Source: dev.to / over 2 years ago
  • dbt for Data Quality Testing & Alerting at FINN
    We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / about 3 years ago
  • I'm a dev ID 10 T please help me
    Dashboard: I like to use Datastudio because it's easy (just like using google sheets), but you can also try out Looker. Source: over 3 years ago
  • The Data Stack Journey: Lessons from Architecting Stacks at Heroku and Mattermost
    For Growth and larger, I would recommend Looker. The only reason I wouldn't recommend it for the smaller company stages is that the cost is much higher than alternatives such as Metabase. With Looker, you define your data model in LookML, which Looker then uses to provide a drag-and-drop interface for end-users that enables them to build their own visualizations without needing to write SQL. This lets your... - Source: dev.to / over 3 years ago
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What are some alternatives?

When comparing Invantive SQL and Looker, you can also consider the following products

CData ADO.NET Providers - A Powerful Way to Connect Your .NET Applications.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

CData JDBC Drivers - Connect to data from Java/J2EE Apps. Access live data from BI, Reporting, ETL Tools, Custom Apps, and more.

Microsoft Power BI - BI visualization and reporting for desktop, web or mobile

Devart ODBC Drivers - Reliable and simple to use data connectors for ODBC data sources. Compatible with multiple third-party tools.

Sisense - The BI & Dashboard Software to handle multiple, large data sets.

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