Software Alternatives & Startups

Looker VS Entity Framework Core

Compare Looker VS Entity Framework Core 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
Entity Framework Core

Application and Data, Data Stores, and Object Relational Mapper (ORM)

Rating
0 reviews
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?

Based on our record, Entity Framework Core should be more popular than Looker. It has been mentioned 52 times since March 2021.

social mentions
14 vs 52
Data Dashboard popularity
100% vs 0%
alternatives listed
240+ vs 16

Base details

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

Looker
Entity Framework Core
Website looker.com learn.microsoft.com
Pricing —
Company Startup from the United States —
Listed in

About Looker and Entity Framework Core

In their own words, as submitted to SaaSHub.

Looker
Entity Framework Core

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 Entity Framework Core yet.

Features and specs

What each product offers, as listed by its team.

Looker 6 features
Entity Framework Core 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.
  • Cross-Platform Support
    Entity Framework Core is built to work across multiple platforms, allowing developers to build applications for Windows, Linux, and macOS with the same data access layer.
  • Code-First Approach
    Entity Framework Core supports a code-first approach, enabling developers to define their model using C# classes and then generate a database schema from these models. This is particularly useful for agile development and domain-driven design.
  • Rich LINQ Support
    It provides robust LINQ support, allowing developers to write queries in a type-safe manner while leveraging the full expressive power of LINQ for querying databases.
  • Performance Improvements
    Compared to its predecessor, Entity Framework Core has several performance enhancements, including optimized query compilation and reduced memory allocations.
  • Migration Support
    It includes a migrations feature that enables developers to evolve the database schema over time without losing existing data, allowing for smooth iterative development.

Possible disadvantages

  • Limited Features Compared to EF6
    Entity Framework Core, while improving over time, still lacks some features that were available in Entity Framework 6, such as automatic lazy loading and certain advanced data modeling capabilities.
  • Steep Learning Curve
    For developers who are new to ORMs or coming from other database management techniques, getting accustomed to all features and configurations in Entity Framework Core can be challenging.
  • Complex Configuration
    Sometimes configuring Entity Framework Core, especially for complex applications requiring detailed customizations, can lead to increased complexity and overhead.
  • Dependency on .NET Core Ecosystem
    Entity Framework Core is tightly coupled with the .NET Core ecosystem, which might require additional considerations or adjustments for projects not initially developed in this environment.
  • Community and Documentation Maturity
    Though growing, the community support and documentation may not be as mature as some more established ORM solutions, occasionally leading to difficulties in finding help or examples.

Analysis

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

Looker
Entity Framework Core

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.

No analysis of Entity Framework Core yet.

Videos

Walkthroughs and reviews on video.

Looker 3 videos + Add
Entity Framework Core 2 videos + Add

Looker Review

More videos

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

Getting the best out of Entity Framework Core - Jon P Smith

More videos

  • - Entity Framework Core 5.0: The Next Generation for Data Access

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
Entity Framework Core
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

Share your experience with using Looker and Entity Framework Core. For example, how are they different and which one is better?

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Reviews and articles

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

Looker no reviews yet
Entity Framework Core no reviews yet

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We have no reviews of Entity Framework Core 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
Entity Framework Core 52 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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  • Combined Serilog and EF Core Logging to the Same File in ASP .NET Core
    Learn how to use a single daily file to log regular log messages and EF Core commands with the Serilog packages. - Source: dev.to / 19 days ago
  • How to Import Excel Data in ASP.NET Core (Upload, Parse and Read Worksheets)
    For example, after building the employee collection, you might save the records using Entity Framework Core:. - Source: dev.to / 4 months ago
  • Pushing skills to a new level
    The objective here is to create a contact solution using a SQL Server relational database and Microsoft EF Core to interact with it, implemented in a class project. - Source: dev.to / 7 months ago

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Alternatives to Looker and Entity Framework Core

When comparing Looker and Entity Framework Core, you can also consider the following products.