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Looker VS SOAPEngine

Compare Looker VS SOAPEngine 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
Alternatives Is it good?
SOAPEngine

This generic SOAP client allows you to access web services using a your iOS app, Mac OS X app and AppleTV app. - priore/SOAPEngine

Rating
0 reviews
Alternatives Is it good?
Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI sponsored
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, Looker seems to be more popular. It has been mentioned 14 times since March 2021.

social mentions
14 vs 0
Data Dashboard popularity
100% vs 0%

Base details

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

Looker
SOAPEngine
Website looker.com github.com
Pricing
Official pricing
—
Company Startup from the United States —
Listed in
Business Intelligence Data Analytics Data Visualization Data Dashboard +1
Mobile Development

About Looker and SOAPEngine

In their own words, as submitted to SaaSHub.

Looker
SOAPEngine

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 SOAPEngine yet.

Features and specs

What each product offers, as listed by its team.

Looker 6 features
SOAPEngine 4 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.
  • Comprehensive SOAP Support
    SOAPEngine provides robust and thorough support for SOAP-based web services, making it easier for developers to integrate complex SOAP operations in their applications.
  • iOS and macOS Compatibility
    It is designed to work seamlessly with iOS and macOS platforms, ensuring that developers can build applications across Apple’s ecosystem using SOAP services.
  • Easy Integration
    SOAPEngine is relatively straightforward to integrate into existing projects, providing a variety of functionalities needed to quickly start consuming SOAP web services.
  • Automatic XML Parsing
    The library handles the parsing of XML responses automatically, which simplifies the developer's job by abstracting away the complexity of handling XML data.

Possible disadvantages

  • Limited to Apple Platforms
    SOAPEngine is specifically designed for iOS and macOS, making it unsuitable for developers targeting cross-platform solutions that include Android or other systems.
  • Outdated Documentation
    Some users might find the documentation for SOAPEngine outdated or lacking clarity, potentially complicating the learning curve for new users.
  • Dependency on SOAP Protocol
    As SOAP is an older protocol compared to REST, developers using SOAPEngine are tied to using SOAP services, which might not be the best fit for newer web service designs.
  • Performance Overheads
    SOAP can introduce performance overheads due to its verbose nature and the XML format, potentially affecting the performance of applications using SOAPEngine.

Analysis

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

Looker
SOAPEngine

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

  • SOAPEngine is a solid choice for developers needing SOAP/XML web service integration in Apple ecosystem apps (iOS, macOS, tvOS, watchOS), offering a mature, well-documented library that simplifies working with legacy SOAP-based backends without requiring extensive boilerplate code.

Why this product is good

  • Provides a straightforward Objective-C/Swift API for consuming SOAP web services, abstracting away much of the complexity of manual XML parsing and request construction
  • Supports multiple Apple platforms (iOS, macOS, watchOS, tvOS) making it versatile for cross-platform Apple development
  • Actively maintained with a track record on GitHub, giving developers confidence in its reliability
  • Handles common SOAP complexities like WSDL parsing, authentication, and complex data types
  • Good documentation and examples make it accessible for developers unfamiliar with SOAP intricacies
  • Reduces development time when integrating with older enterprise systems that still rely on SOAP APIs

Recommended for

  • iOS/macOS developers who need to integrate with legacy enterprise SOAP web services
  • Teams maintaining apps that connect to backend systems using WSDL-based services
  • Developers who want to avoid writing manual XML parsing and SOAP envelope construction from scratch
  • Projects requiring cross-platform support across multiple Apple devices with SOAP backend communication
  • Enterprise app developers working in industries (banking, healthcare, government) where SOAP remains a common integration standard

Videos

Walkthroughs and reviews on video.

Looker 3 videos + Add
SOAPEngine 0 videos + Add

Looker Review

More videos

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

No SOAPEngine 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
SOAPEngine
100% 100%
Data Dashboard
0% 0%
0% 0%
Mobile Development
100% 100%
100% 100%
Business Intelligence
0% 0%
100% 100%
Data Visualization
0% 0%

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
SOAPEngine no reviews yet

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We have no reviews of SOAPEngine 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
SOAPEngine 0 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

View more

Tracking SOAPEngine since Mar 2021.

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