Software Alternatives & Startups

Looker VS Devhints

Compare Looker VS Devhints and see what are their differences

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.

Rating
0 reviews
Devhints

TL;DR for developer documentation

Rating
0 reviews
Pricing
Open source
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Devhints might be a bit more popular than Looker. We know about 18 links to it since March 2021 and only 14 links to Looker.

social mentions
14 vs 18
Data Dashboard popularity
100% vs 0%
alternatives listed
240+ vs 141

Base details

Website, pricing, platforms and company facts side by side.

Looker
Devhints
Website looker.com devhints.io
Pricing
Open source
Company Startup from the United States —
Listed in

About Looker and Devhints

In their own words, as submitted to SaaSHub.

Looker
Devhints

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...

Read more about Looker

No description of Devhints yet.

Features and specs

What each product offers, as listed by its team.

Looker 6 features
Devhints 5 features
  • 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

  • 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.
  • Concise Information
    Devhints provides cheat sheets that offer quick, high-level overviews of various programming languages, frameworks, and tools. This makes it easy to get the required information without wading through extensive documentation.
  • User-Friendly Interface
    The website is designed with a minimalistic and clean interface, making navigation intuitive. This allows users to find the information they need quickly and efficiently.
  • Broad Range of Topics
    Devhints covers a wide variety of programming languages and tools, catering to a broad audience of developers with different specialties.
  • Regular Updates
    The cheat sheets are frequently updated to reflect the latest changes and additions in the programming languages and tools they cover, ensuring that the information is current.
  • Community-Driven
    Users can contribute to the cheat sheets, allowing for a collaborative environment where the community helps to keep the resources relevant and accurate.

Possible disadvantages

  • Limited Depth
    While Devhints is excellent for quick reference, it often lacks in-depth explanations and comprehensive guides, making it unsuitable for deep learning or understanding complex concepts.
  • Requires Existing Knowledge
    The cheat sheets are more suitable for experienced developers who need a quick reminder rather than beginners who are just starting and need more detailed explanations and tutorials.
  • Inconsistent Coverage
    Some cheat sheets are more detailed than others, which can lead to inconsistent coverage across different programming languages and tools. This may make it less reliable for certain topics.
  • Dependency on Community Contributions
    The quality and accuracy of the information can be inconsistent as it relies on community contributions. This may result in occasional outdated or incorrect data.
  • No Offline Access
    Devhints is a web-based tool, so users need an internet connection to access the cheat sheets. This can be inconvenient in situations where internet access is limited or unavailable.

Analysis

An editorial look at what each product does well and who it suits.

Looker
Devhints

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.

Overall verdict

  • Yes, Devhints is considered a good resource, especially for developers who prefer quick and easy access to coding references.

Why this product is good

  • Devhints is appreciated for its concise and well-organized cheat sheets that cover a wide range of programming languages and tools. It provides quick references for syntax and commands, making it a useful resource for developers who need to recall information quickly without going through extensive documentation.

Recommended for

  • Developers who regularly switch between multiple programming languages.
  • Beginner programmers looking to reinforce their understanding of syntax and commands.
  • Experienced developers who need a quick reference while coding.
  • Anyone looking for a centralized resource for software development cheat sheets.

Videos

Walkthroughs and reviews on video.

Looker 3 videos + Add
Devhints 0 videos + Add

Looker Review

More videos

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

No Devhints videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Looker
Devhints
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Looker no reviews yet
Devhints no reviews yet

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We have no reviews of Devhints yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Looker 14 mentions
Devhints 18 mentions
  • 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... Source: over 3 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... - Source: dev.to / almost 4 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 / over 4 years ago

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Alternatives to Looker and Devhints

When comparing Looker and Devhints, you can also consider the following products.