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Datagaps VS RAWGraphs

Compare Datagaps VS RAWGraphs and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Datagaps logo Datagaps

Gartner-listed DataOps + Data Observability platform. One unified suite to validate ETL, BI, Data Quality, and AI pipelines. 100+ enterprises.

RAWGraphs logo RAWGraphs

RAWGraphs is an open source app built with the goal of making the visualization of complex data...
  • Datagaps DataGaps DataOps Suite Dashboard
    DataGaps DataOps Suite Dashboard //
    2026-07-28

Datagaps makes data trustworthy โ€” for confident BI analytics, compliant AI models, zero-defect data migrations and data transformations at scale.

The only platform recognized by Gartner in BOTH the DataOps Tools AND Data Observability market guides, Datagaps unifies what enterprises have historically stitched together from three or more tools: ETL testing, BI validation, data quality monitoring, and test data management โ€” in a single platform with shared rules, lineage, and governance.

Powered by Agentic AI, the DataOps Suite auto-generates tests, self-heals with schema changes, summarizes BI report differences, and recommends smart quality rules โ€” so data teams spend time on decisions, not defect hunting. Outcomes delivered to 100+ enterprise customers: 500B+ Records validated across ETL & cloud pipelines 10M+ Automated test cases run with zero manual scripting 80% Faster test cycles vs. manual testing approach 60% Reduction in data errors detected before production 70% Reduction in ETL validation spend 200+ Native data source connectors

SOC 2 Type II certified. US Patented ELV architecture. Informatica Certified. Embedded LLM โ€” your data never leaves your environment.

Products: DataOps Suite | ETL Validator | BI Validator | Data Quality Monitor | Test Data Manager

Platforms: 200+ Integration flexibility such as Snowflake, Databricks, Azure Synapse, AWS Redshift, Power BI, Tableau, Oracle Analytics, Salesforce, Informatica, dbt

  • RAWGraphs Landing page
    Landing page //
    2022-06-16

Datagaps

Website
datagaps.com
Release Date
2010 July
Startup details
Country
United States
State
virginia
City
herndon
Founder(s)
Narendar Yalamanchilli
Employees
100 - 249
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RAWGraphs

Website
rawgraphs.io
Release Date
-
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Datagaps features and specs

No features have been listed yet.

RAWGraphs features and specs

  • User-Friendly Interface
    RAWGraphs provides an intuitive drag and drop interface, making it accessible for users with various technical skills.
  • Open Source
    Being open source, RAWGraphs allows for customization and community contributions, promoting transparency and flexibility.
  • Supports Multiple Data Formats
    RAWGraphs supports a variety of input formats like CSV, TSV, JSON, etc., enhancing its adaptability to different data sources.
  • Extensive Visualization Types
    Offers a wide range of visualization types such as bar graphs, scatter plots, and network graphs, catering to diverse analytical needs.
  • No Installation Required
    As a web-based tool, it does not require any installation, making it easy to access and use anywhere with an internet connection.
  • Export Options
    Allows exporting visualizations in vector (SVG) and raster (PNG) formats, which is valuable for high-quality reporting and presentations.

Possible disadvantages of RAWGraphs

  • Limited Interactivity
    Visualizations created with RAWGraphs are generally static, lacking advanced interactive features found in other tools.
  • Performance with Large Datasets
    May struggle with performance issues when handling very large datasets, which can limit its use for extensive data analytics.
  • Learning Curve for Advanced Features
    While basic functionalities are user-friendly, leveraging advanced features and customizations may require a steeper learning curve.
  • Dependency on Internet
    As a web-based application, it requires an internet connection to function, which can be a limitation in restricted or offline environments.
  • Limited Data Manipulation
    Provides basic data manipulation features, but lacks the depth and complexity available in specialized data processing tools.
  • Support and Documentation
    As an open-source project, it may not have the extensive support and documentation available with commercial visualization tools.

Analysis of Datagaps

Overall verdict

  • Datagaps is a solid choice for organizations seeking specialized data testing and quality automation tools, particularly for ETL, BI, and data warehouse validation. It offers a comprehensive suite tailored to data-centric QA needs, though it may be less known than larger enterprise testing platforms.

Why this product is good

  • Offers a dedicated suite for ETL, data warehouse, and BI testing automation (DataOps Suite)
  • Supports test automation for reports, dashboards, and data migration validation
  • Provides no-code/low-code test creation, making it accessible to non-technical testers
  • Includes robust data reconciliation and comparison features across multiple data sources
  • Integrates with popular BI tools like Tableau, Power BI, and various databases and cloud platforms
  • Helps reduce manual testing effort and time for large-scale data validation projects

Recommended for

  • Enterprises with complex ETL and data warehouse testing needs
  • QA teams responsible for validating BI reports and dashboards
  • Organizations undergoing data migration or cloud data platform transitions
  • Companies seeking to automate data quality and reconciliation checks
  • Teams looking for no-code testing solutions for data pipelines
  • Businesses needing regulatory or compliance-driven data validation

Analysis of RAWGraphs

Overall verdict

  • Yes, RAWGraphs is a good tool for creating data visualizations due to its ease of use, versatility, and robust support for different data types and outputs.

Why this product is good

  • RAWGraphs is considered a good data visualization tool because it is open-source, versatile, and easy to use. It allows users to create a wide variety of charts and visualizations without needing extensive coding knowledge. Its interface is intuitive and facilitates the quick transformation of data sets into visually compelling graphics. Furthermore, it supports multiple formats for data input and export, making it flexible for various project needs.

Recommended for

  • data analysts
  • journalists
  • researchers
  • educators
  • students
  • designers who need to create visualizations without in-depth coding skills.

Datagaps videos

+ Add

Datagaps DataOps Suite: The Comprehensive End-to-End Data Validation Platform

RAWGraphs videos

+ Add

RawGraphs Walkthrough

Category Popularity

0-100% (relative to Datagaps and RAWGraphs)

Datagaps

RAWGraphs

Data Quality
100 100%
Data Quality
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Testing
100 100%
Testing
0% 0
Charting Libraries
0 0%
Charting Libraries
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 Datagaps and RAWGraphs

Datagaps Reviews

We have no reviews of Datagaps yet.
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RAWGraphs Reviews

Top 10 Tableau Open Source Alternatives: A Comprehensive List
RAWGraphs is an open-source Data Visualization tool designed to make visualizing complex data simple for everyone. The primary goal of RAWGraphs is to provide a tool that allows people who do not have the technical/coding expertise to create visualizations on their own. Originally designed to help graphic designers complete a set of tasks that were not available in other...
Source: hevodata.com

Social recommendations and mentions

Based on our record, RAWGraphs seems to be more popular. It has been mentiond 5 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.

Datagaps mentions (0)

We have not tracked any mentions of Datagaps yet. Tracking of Datagaps recommendations started around Sep 2022.

RAWGraphs mentions (5)

  • Interview synthesis tools?
    Go back through a second time Code themes / pull insights/ double check for keywords tag accuracy Use Dovetailโ€™s โ€œchartsโ€ to review various tags (it will show you how many tags per word in various chart options, none are great.) Export desired csvโ€™s from Dovetail Charts to free online data viz software like https://rawgraphs.io Boom. Iโ€™m sure there are better ways but thatโ€™s what I got! Source: over 4 years ago
  • What type/style of chart is this?
    Sankey is probably the most common name (after Captain Matthew Henry Phineas Riall Sankey who apparently made them to study energy flows in steam engines). But I've also heard it referred to as an alluvial diagram, for example in https://rawgraphs.io/. Source: over 4 years ago
  • Show HN: I made a data visualization desktop app
    This seems quite similar to RawGraphs: https://rawgraphs.io/ Both seem to provide a similar interface for dragging in a CSV file and constructing a chart, but RawGraphs is open-source, and can be used in the browser without installing anything (or the code can be downloaded and served locally). The main advantage of Daigo over RawGraphs seems to be that it supports publishing multiple charts as a dashboard.... - Source: Hacker News / over 4 years ago
  • [OC] Latin Americaโ€™s biggest airports had been growing steadily. With Covid, it all changed.
    Tools: Excel, Rawgraphs, Affinity Designer. Source: over 4 years ago
  • Self-hosted solution for easy data visualization?
    Take a look at https://rawgraphs.io/. Source: about 5 years ago

What are some alternatives?

When comparing Datagaps and RAWGraphs, you can also consider the following products

iCEDQ - iceDQ provides the ability to test your data warehouse, data migration, big data and monitor the data for compliance.

Plotly - Low-Code Data Apps

RightData - Automated ETL test validation

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

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