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Overview

Product Information on Elementary Cloud

Updated 25th February 2026

What is Elementary Cloud?

Elementary Cloud is a software developed to provide data observability for modern data stacks. The software allows users to monitor and detect anomalies in data pipelines by providing visibility into data quality, freshness, and volume. Elementary Cloud integrates with data warehouses and analytics tools to collect metadata and metrics, enabling teams to identify issues such as schema changes, data delays, and missing data. The software automates detection and alerting for data problems, aiming to reduce manual monitoring and ensure reliability in data-driven processes. It is designed for use by data engineers, analysts, and other teams responsible for managing and maintaining data pipelines.

Elementary Cloud Pricing

Elementary Cloud software uses a subscription-based pricing model, typically structured by workspace or deployment, with pricing tiers that vary according to data volume, number of runs, or specific feature access. Users select plans according to requirements, and enterprise options may be available for extensive needs. Additional usage may incur extra fees depending on the chosen plan.

Overall experience with Elementary Cloud

Director of Engineering
1B - 3B USD, Insurance (except health)
FAVORABLE

“Elementary’s Seamless dbt Integration Reduces Overhead in Modern Data Stacks”

5.0
Feb 26, 2026
Overall, Elementary has been a strong addition to our modern data stack and has delivered significant value as a data observability platform. It integrates naturally into our dbt-first workflow and builds on the metadata and logs we already generate, which makes adoption friction extremely low. With health dashboards, test visibility, and alerting; it has made data quality tangible not just for engineers, but also for analysts and business stakeholders. It has improved our ability to trust, monitor, and act on data issues in production, and we would make the same decision again.
There are no reviews in this category.
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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Elementary Cloud

byElementary
in Data Observability Tools
4.6

About Company

Company Description

Updated 25th February 2026

Elementary provides a platform focused on data and AI reliability by integrating observability, quality management, governance, and discovery. The platform supports teams in ensuring the accuracy, governance, and traceability of data workflows, facilitating collaboration between technical and business users. Elementary addresses issues related to data trust and transparency, helping organizations monitor and validate data processes as they scale their AI initiatives.

Company Details

Updated 25th February 2026
Company type
Private
Year Founded
2023
Head office location
United States
Number of employees
11 - 50
Website
www.elementary-data.com

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User Sentiment About Elementary Cloud
Reviewer Insights for: Elementary Cloud

Elementary Cloud Likes & Dislikes

Like

What I like most about the product: 1) Native dbt first integration with extremely low adoption friction: As stated before, it builds directly on dbt metadata so it naturally fits into our existing workflow without requiring heavy operational overhead 2) Clear production focused observability: Between the health dashboards and summary of tests it makes understanding the data issues (or lack thereof) visible and actionable 3) Data quality visibility for non-technical users: This makes it easy for business to trust the data without having to just rely on us telling them that all tests pass; they can see with health dashboards the spread of coverage and easy to understand pass rates 4) Strong roadmap and thoughtful evolution: Despite being a dbt native tool, they are expanding observability to python workflows as well. Additionally, they have expanded upon AI assistance and additional BI tool connections that other tools have not

Like

The integration into our existing tech stack was easy, as we were already using dbt (and in particular Elementary's open source data test) so this just felt like a natural extension of the environment. The AI agent has been invaluable in automating our lineage tracing exercises (which we carry out as a fundamental step in our Critical Data Element management process), and has proven capable of suggesting ETL efficiency improvements and a good coverage of data quality rules - while it cannot suggest rules built off business process, it has accelerated our ability to cover the core DQ rules required for effective monitoring. Tapping into external channel such as Teams and Jira allowed us to define our alert, triage, prioritisation and issue management processes aligned to actual tools and not just as a high level process flow. It centralises the management of these functions and provides an end-to-end visibility during remediation.

Like

What stands out the most is how quickly we were able to get meaningful insights into our data pipelines. The platform does a great job surfacing anomalies and trends in a way that doesn't require deep technical expertise to interpret. From a knowledge management standpoint, that's huge, because it allows more stakeholders to engage with the trust the data. I also appreciate how it integrates into existing workflows rather than forcing a complete process overhaul.

Dislike

What I dislike most about the product: 1) Expanding scope means teams need to be clear on where Elementary fits: As they continue to grow beyond the original dbt-centric focus, teams may need to align more on how different capabilities are used and how they complement other tools. 2) Differentiation from adjacent tools sometimes requires internal explanation: Elementary is clearly focused on production observability, but in environments with multiple data quality and/or CI tools, some upfront clarification is needed to avoid perceived overlap. 3) The product rewards intentional usage, not just installation: Elementary is close to turnkey and the team is very hands on, but the most value comes when teams actively lean into all the features rather than treating it as a passive tool.

Dislike

Dashboards are not user customisable, we have had many requests for changing default views, slices by a few dimensions not initially available in the package, or rearranging dashboard elements in order of priority (such as the DQ dimensions).

Dislike

While the core functionality is strong, I've found that some of the customization options, particularly around alerting and reporting, could be more flexible. There are moments where I want to tailor the output more specifically for different audiences, and that can take a bit of workaround. Documentation is solid, but there were a few areas where clear examples would have sped up adoption internally.

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Filter Reviews
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Most helpful
Last 12 Months
Star Rating
Reviewer Type
Reviewer's Company Size
Reviewer's Industry
Reviewer's Region
Reviewer's Job Function
  • Director of Engineering
    1B-10B USD
    Insurance (except health)
    Review Source

    Elementary’s Seamless dbt Integration Reduces Overhead in Modern Data Stacks

    5.0
    Feb 26, 2026
    Overall, Elementary has been a strong addition to our modern data stack and has delivered significant value as a data observability platform. It integrates naturally into our dbt-first workflow and builds on the metadata and logs we already generate, which makes adoption friction extremely low. With health dashboards, test visibility, and alerting; it has made data quality tangible not just for engineers, but also for analysts and business stakeholders. It has improved our ability to trust, monitor, and act on data issues in production, and we would make the same decision again.
  • Data Analyst
    1B-10B USD
    Finance (non-banking)
    Review Source

    Strong AI Capability and Integration With Tech Stack Drive Efficiency and Insight in Data Quality

    5.0
    Feb 23, 2026
    The Elementary team has been very open and responsive, from our initial interactions during our RFC process, to the ongoing working relationship that we have as we build our data governance capability. Continuous feature improvement, clear and accessible interfaces, AI interaction that actually delivers a business benefit, and open feedback/issue management channels have all been great assets in our rollout of DQ.
  • Senior Knowledge Management Advisor
    10B+ USD
    Banking
    Review Source

    Elementary Cloud Enhances Data Transparency Without Demanding Extensive Operational Effort

    4.0
    Apr 16, 2026
    My focus is on ensuring that the information flowing through the organization is reliable, accessible, and actionable. Elementary Cloud has been a strong addition to our data ecosystem. particularly in how it brings transparency to data quality without requiring a heavy operational lift. It's helped bridge the gap between technical teams and business users by making data health more understandable and visible.
  • DATA ARCHITECTURE AND GOVERNANCE LEADER
    50M-1B USD
    Miscellaneous
    Review Source

    Making data quality effortless: AI enhanced insights embedded directly in your tools and workflows

    5.0
    Feb 23, 2026
    Our overall experience with Elementary Cloud has been extremely positive. The product delivers real value in our day-to-day operations, and it has become an integral part of how we manage data quality. Beyond the Cloud offering itself, the Elementary team has been outstanding to work with. They are responsive, thoughtful and genuinely invested in our success. Our feedback is taken seriously, feature requests are discussed openly, and support questions are handled quickly and thoroughly. It feels like a true partnership.
  • Data and Analytics Manager
    50M-1B USD
    Travel and Hospitality
    Review Source

    Feel like you have a full data governance team at your fingertips

    5.0
    Feb 27, 2026
    It's amazing when a product does what you expect it to. It's even better when the product can keep the pace with your domain and you feel as though you can be a thought leader in helping shape how the product integrates. I'm amazed at elementary's ability to partner, take product feedback, and integrate that feedback. Top of the line support.
Showing Result 1-5 of 15

4.6

(15 Ratings)

Rating Distribution

5 Star
60%
4 Star
40%
3 Star
0%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.6

Integration & Deployment

4.5

Service & Support

4.3

Product Capabilities

4.5