Software Alternatives & Startups

Looker VS xmlvalid

Compare Looker VS xmlvalid 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
xmlvalid

Validate XML and e-invoices up to 1 GB in your browser: XSD, DTD, RelaxNG and official business rules

Rating
0 reviews
Pricing
Freemium $29 / Monthly (Pro)
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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%
alternatives listed
240+ vs 9

Base details

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

Looker
xmlvalid
Website looker.com xmlvalid.com
Pricing
Freemium $29 / Monthly (Pro) Official pricing
Platforms —
Web REST API gRPC APISOAP API
Company Startup from the United States Startup from Ukraine · 1 - 9 employees · 2026
Listed in

About Looker and xmlvalid

In their own words, as submitted to SaaSHub.

Looker
xmlvalid

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

xmlvalid is an online XML validator built for production-size documents and e-invoicing. Validation XSD 1.0, DTD, RelaxNG (XML and compact syntax) 7,700+ Schematron business rules: EN 16931 (UBL and CII), Peppol BIS and PINT, XRechnung, ZUGFeRD / Factur-X, and national rules from France, Italy,...

Read more about xmlvalid

Features and specs

What each product offers, as listed by its team.

Looker 6 features
xmlvalid 19 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.
  • Schema languages
    XSD 1.0, DTD, RelaxNG (XML and compact)
  • Business rules
    7,700+ Schematron rules (EN 16931, Peppol BIS and PINT, XRechnung, Factur-X, national CIUS) plus your own .sch
  • Schema catalog
    177 official schemas with all their include files
  • Country guides
    E-invoicing in 24 countries, the profile picked from the invoice automatically
  • Max File Size
    50 MB without an account, 1 GB with a free account (5 GB tested)
  • Batch validation
    A folder or .zip of up to 1,000 documents
  • Privacy
    Validated in the browser, nothing uploaded
  • Input methods
    Upload, paste, URL, or a folder or .zip of up to 1,000 documents
  • PDF invoices
    Factur-X, ZUGFeRD and ISDOC, with PDF/A (veraPDF) and PDF text checks
  • Error details
    Line and column, explanations for libxml2, Java (Xerces) and .NET messages
  • E-invoice Detection
    Profile picked automatically from the document
  • API
    REST (OpenAPI 3.1), SOAP, MCP server, SDKs for PHP, Laravel, Symfony, Python and JavaScript
  • CLI
    CLI (npm @xmlvalid/cli), GitHub Action, GitLab CI, pre-commit
  • URL monitors
    Alerts by email or webhook when a feed starts failing
  • Reports
    PDF, HTML, JSON export, share links
  • Dark Mode
  • Integrations
    n8n, Apify, Postman
  • Monitoring
    URL monitors with email and webhook alerts
  • Free Tools
    XML formatter, XPath tester, XSLT transformer, XML diff, XML to JSON / CSV, XSD generator, XSD to XML, e-invoice viewer

Analysis

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

Looker
xmlvalid

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 xmlvalid yet.

Videos

Walkthroughs and reviews on video.

Looker 3 videos + Add
xmlvalid 0 videos + Add

Looker Review

More videos

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

No xmlvalid 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
xmlvalid
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing Looker and xmlvalid.

Which are the primary technologies used for building your product?

xmlvalid's answer:

  • Rust and libxml2 (validation engine), compiled to WebAssembly
  • SaxonJS (Schematron business rules)
  • veraPDF (PDF/A checks)
  • Laravel and Livewire (PHP)
  • Tailwind CSS
  • PostgreSQL, Redis, Meilisearch
  • Cloudflare

What makes your product unique?

xmlvalid's answer:

  • Schema validation and e-invoicing business rules in one place: XSD, DTD and RelaxNG, plus 7,700+ Schematron rules of EN 16931, Peppol BIS and PINT, XRechnung, Factur-X and national formats from France and Italy to Saudi Arabia, Mexico and Brazil
  • Built for large files: a streaming Rust engine (libxml2 compiled to WebAssembly) validates documents up to 1 GB in the browser with flat memory (5 GB tested)
  • 177 official schemas ready to use, and e-invoice profiles detected automatically from the document
  • E-invoice PDFs (Factur-X, ZUGFeRD, ISDOC) checked whole: the XML inside, PDF/A, and the PDF's text against the XML
  • Every error links to a page explaining why it fails and how to fix it, for libxml2, Java and .NET messages
  • The same checks in CI and integrations: REST API, SOAP, MCP server for AI agents, CLI, GitHub Action, n8n

Why should a person choose your product over its competitors?

xmlvalid's answer:

  • Desktop editors (XMLSpy, Oxygen) are powerful but expensive and need installing; xmlvalid works in the browser for free
  • Simple online validators check one schema and stop at a few MB; xmlvalid streams up to 1 GB and ships schemas with all their imports
  • E-invoice validators (KoSIT, Peppol testbeds) check one format each and have no CI tooling; xmlvalid covers many formats and countries, reads PDF invoices, and has an API, CLI and GitHub Action
  • Documents are validated in the browser and not uploaded

How would you describe the primary audience of your product?

xmlvalid's answer:

  • Developers and integrators building or receiving e-invoices (Peppol, XRechnung, Factur-X, FatturaPA, KSeF, ZATCA, CFDI, NF-e, UBL, CII)
  • ERP and accounting software vendors preparing for national e-invoicing mandates
  • Teams that exchange XML with partners: payments (ISO 20022), healthcare (HL7 CDA, FHIR), feeds and sitemaps
  • DevOps engineers who want XML checks in CI pipelines
  • Anyone who needs to validate a large XML file quickly without installing software

What's the story behind your product?

xmlvalid's answer:

xmlvalid is built and run by Oleksii Babintsev, a developer from Ukraine, so questions and bug reports reach the person who builds the engine. It started as a streaming validator for XML files too large for typical online tools, and grew into e-invoicing as countries made structured invoices mandatory: business rules for EN 16931, Peppol, XRechnung and national formats in 24 countries, PDF invoices, an API, CLI and GitHub Action for CI, and monitors for XML feeds. While building it, we found and fixed a slowdown in libxml2's validation of large files and contributed the fix upstream. It launched in October 2026

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
xmlvalid no reviews yet

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Social recommendations and mentions

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

Looker 14 mentions
xmlvalid 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 xmlvalid since Oct 2026.

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