--- title: Elementary Data Reviews meta_title: 'Elementary Data Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 18 reviews by the users' company size, role or industry to find out how Elementary Data works for a business like yours. aggregate_rating: rating_value: 4.5 review_count: 18 scale: '5' date_modified: '2026-06-24' parent_category: name: IT Management url: https://www.g2.com/categories/it-management --- # Elementary Data Reviews **Vendor:** Elementary Data **Category:** [Data Observability Software](https://www.g2.com/categories/data-observability) **Average Rating:** 4.5/5.0 **Total Reviews:** 18 ## About Elementary Data Elementary is a data observability solution designed for dbt-centric data stacks. It seamlessly integrates into your dbt development workflow and pipelines and ensures you are the first to know when something breaks. Trusted by 5000+ analytics and data engineers, Elementary helps data-driven companies deliver production-grade data. ## Elementary Data Pros & Cons **What users like:** - Users love the **seamless integration with dbt** and appreciate the automated data quality monitoring features. (8 reviews) - Users value the **seamless integration with dbt** , enabling easy setup and effective monitoring of data issues. (8 reviews) - Users highlight the **ease of use** of Elementary Data, with quick setup and seamless integration for seamless operations. (7 reviews) - Users value the **real-time alerts via Slack** , enhancing collaboration and ensuring quick responses to data issues. (7 reviews) - Users value the **daily alerts** feature in Elementary Data, enhancing their monitoring capabilities effectively. (6 reviews) - Alerts (6 reviews) - Anomaly Detection (6 reviews) - Easy Integrations (6 reviews) - Users appreciate the **easy setup** of Elementary Data, enabling effective data quality and anomaly testing in under an hour. (6 reviews) - Data Quality (5 reviews) **What users dislike:** - Users struggle with **integration issues** , particularly lacking support for Metabase and facing challenges with authentication methods. (6 reviews) - Users experience **database integration issues** due to limited support for various BI platforms, affecting workflow flexibility. (4 reviews) - Users note the **limited integration** with BI tools, reducing flexibility and seamlessness in diverse workflows. (3 reviews) - Users find the **API limitations** in Elementary Data restrictive, hindering integrations and customization options. (2 reviews) - Users note the **limited features** of Elementary Data, leading to challenges in configuration and feature usage. (2 reviews) - Limited Integrations (2 reviews) - Poor Documentation (2 reviews) - Product Maturity (2 reviews) - UX Improvement (2 reviews) - Alert Management (1 reviews) ## Elementary Data Reviews ### 1. Going beyond simple dbt testing with ease **Rating:** 3.5/5.0 stars **Reviewed by:** Manuel P. | Staff Data Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** January 20, 2025 **What do you like best about Elementary Data?** This project combines a startup mindset with an open-source approach, thriving on feedback and continuously improving. Setting up a robust base for data observability is fast and efficient, thanks to their intuitive batch configuration system and dbt-native approach. The UI is clean and user-friendly, but there’s room for improvement in making it easier to filter down and take action on alerts. Also, I like the team's incredible spirit and commitment to improving the tool. They actively listen to feedback. **What do you dislike about Elementary Data?** The limited integrations with additional BI platforms and ticketing systems reduce the tool's flexibility and its ability to fit seamlessly into diverse workflows. Expanding these integrations would significantly enhance its versatility. Additionally, the UI filtering options could be more robust, enabling users to quickly identify and act on critical issues. Improving these areas would make the tool more efficient, adaptable, and user-friendly for a wider range of teams. **What problems is Elementary Data solving and how is that benefiting you?** The problem of achieving quick and effective data observability by providing seamless integration with dbt and an intuitive batch configuration system. It ensures end-to-end data lineage, including BI tools, which helps us trace data flows and identify issues efficiently. ### 2. A lean data observability platform **Rating:** 4.0/5.0 stars **Reviewed by:** Artur Y. | Director of Data Engineering, Mid-Market (51-1000 emp.) **Reviewed Date:** January 13, 2025 **What do you like best about Elementary Data?** Flexibility of integration, especially with dbt models and relevant data warehouse adapters; a free CLI version that is sufficient to start with and allows for custom setup; Data Health score - a recent release, measuring data validity across 6 dimensions; column-lineage. **What do you dislike about Elementary Data?** The catalog solution is quite basic; I would still recommend investing in a separate, more developed data catalog solution. Some integrations (such as those with BI tools or GitHub) rely on private keys rather than newer, more public authentication methods (or at least I couldn't find any). Adjust alerting behavior to prevent alert fatigue, as the default settings may not suit the use case. **What problems is Elementary Data solving and how is that benefiting you?** Now having a single metric that serves as a proxy for data quality. I faced challenges in measuring the overall data quality posture, and it was an incident and time-based measurement that was cumbersome. Additionally, it displays the execution time of models, which is very helpful for historical analysis and optimization efforts. Column lineage is an excellent way to observe the impact of changed data, even if the fields were renamed; however, the search function per field or model is not intuitive. ### 3. Effortless Data Quality Monitoring Made Simple **Rating:** 5.0/5.0 stars **Reviewed by:** Alonso A. | Staff Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** January 27, 2025 **What do you like best about Elementary Data?** Elementary Data excels in simplifying the process of data quality monitoring. Its intuitive interface and seamless integration with modern data stack make it a standout tool. I particularly appreciate the anomaly detection and detailed insights it provides, which help identify and resolve data issues before they escalate. Additionally, the visual reporting dashboards are both user-friendly and highly informative, enabling stakeholders to quickly grasp key metrics without needing deep technical expertise. **What do you dislike about Elementary Data?** I would say that some sections of the UI are not clear enough and I hope Metrics feature and their automatic anomaly detection could improve soon, but so far I am very confortable with the tool. **What problems is Elementary Data solving and how is that benefiting you?** Anomaly detection for models, visualization and management of incidents with data quality, including alerting, etc. ### 4. Great and flexible tool for Data Observability **Rating:** 4.5/5.0 stars **Reviewed by:** Vitor G. | Tech Lead of Analytics, Mid-Market (51-1000 emp.) **Reviewed Date:** January 21, 2025 **What do you like best about Elementary Data?** As a data consultant, I work with several customers who demand high data quality for their data platforms. Elementary is a critical part of features that I can provide to meet those expectations. The combination of compiling dbt dag logs and powerful anomaly detection based in statistics makes it a perfect choice for data teams of all sizes **What do you dislike about Elementary Data?** Since Elementary demands integration with only dbt, it may not always be the best fit for teams with lower data maturity levels or teams that don't use dbt as a main data transformation tool. In such cases, foundational issues need to be addressed before leveraging a tool like dbt and Elementary. **What problems is Elementary Data solving and how is that benefiting you?** Elementary combine the logs of dbt and serve them better to get insights from the dbt jobs. Not only that but all the anomaly tests and alerts improve the developer experience and the product reliability in the long term. ### 5. A promising solution to enhance data quality **Rating:** 4.5/5.0 stars **Reviewed by:** Paco F. | Tech Lead, Small-Business (50 or fewer emp.) **Reviewed Date:** January 13, 2025 **What do you like best about Elementary Data?** Elementary Cloud excels in ease of use and provides automated tests covering key aspects like volume, freshness, and schema. Configuring tests through the user interface simplifies collaboration and reduces technical complexity. The field-level data lineage is particularly valuable for assessing impacts and resolving incidents efficiently. Slack alerts are well-designed and configurable, making it easier to notify stakeholders and improve data reliability. Additionally, the integration with Looker adds significant value to data analysis workflows **What do you dislike about Elementary Data?** While it’s a robust tool, some processes, such as modifying tests and generating pull requests, could be more streamlined. Improved integration with documentation and a centralized view of defined tests would also be helpful. However, these minor drawbacks don’t detract much from an overall very positive experience **What problems is Elementary Data solving and how is that benefiting you?** Elementary Data solves data quality issues by automating tests, providing field-level lineage, and enabling easy test configuration via UI. It improves efficiency, collaboration, and trust in data through real-time alerts and better governance. ### 6. Advanced Our Data Quality by a Big Step **Rating:** 5.0/5.0 stars **Reviewed by:** Jing W. | Data Analytics and Engineering Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** February 12, 2025 **What do you like best about Elementary Data?** 1. Made data quality measurable and transparent through its dashboard. 2. Significantly reduced the effort required to build and maintain a robust data monitoring and observability system. 3. Amplified the impact of data validation in DBT by tracking validation history and seamlessly integrating with our alerting system. 4. Fast response to any issue and inqueries. **What do you dislike about Elementary Data?** It would be helpful to include information on the underlying mechanisms, such as how data freshnes anamoly were checked. **What problems is Elementary Data solving and how is that benefiting you?** Built a new data platform under a highly constrained timeline, ensuring scalability, reliability, and efficient data processing while meeting critical business needs. ### 7. A solid platform to add observability on your dbt workloads **Rating:** 4.5/5.0 stars **Reviewed by:** Christophe O. | Staff Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** January 27, 2025 **What do you like best about Elementary Data?** If you're using dbt, Elementary data is great addon to your data stack to monitor your queries, test coverage and report failures on Slack. The cloud version adds quality of life improvements to the OSS version. It's fairly easy to plug in your dbt project and the different options to be added to the alerts are helpful to do some triage. The community and team is helpful and provide some support on the company's Slack. **What do you dislike about Elementary Data?** The platform is adding metadata through pre-hooks and post-hooks in dbt which slows down a bit your workflow. The Slack alert template has little customization support and though it's OK, I think it could a bit more readable. **What problems is Elementary Data solving and how is that benefiting you?** Elementary Data helps to cover dbt test reporting on Slack, dbt test coverage reporting and dbt model lineage. ### 8. Data Observability made simple **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** February 21, 2025 **What do you like best about Elementary Data?** - Seamless integration with dbt, via the open source package which is super easy to set up - Webinars to present the tool are very effective - Documentation site is great - Cool features of the Cloud paid offering: example column level lineage and integration with other tooling you might have (BI Tool, Data Catalog); possibility to bulk set tests - Possibility to tailor and customise alerts; warnings in dbt do not become silent, but are still tracked and monitored - Elementary Data Report gives you a pulse on your data quality status in your dbt project keeping track of the history and making it accessible outside of the data org, to the whole business - Anomaly detection package is an amazing way to integrate stats (and AI in the cloud offering) to time series monitoring **What do you dislike about Elementary Data?** - Only integrates with dbt, so not available for other Data Trasformation tools (yet) **What problems is Elementary Data solving and how is that benefiting you?** - Auditing dbt projects data quality over time - Auditing dbt models runtime over time - Overview of data quality in your dbt project at a glance with the Elementary Data Report All of this enable more visibility on data quality and track bottlenecks and issues in your data pipelines. The dbt package is open source and gives already lots of benefits. ### 9. Easy and pleasant to use **Rating:** 5.0/5.0 stars **Reviewed by:** Ariel F. | Product Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** January 22, 2025 **What do you like best about Elementary Data?** * Improved Data Validation & Anomaly Detection. * Seamless Integration with dbt. * Automated Data Quality Monitoring. * Intuitive Dashboard & Reporting. * Faster Issue Detection & Resolution. * Customization & Flexibility. **What do you dislike about Elementary Data?** * The documentation is a bit unclear, making it difficult to fully understand how to configure and optimize the tool. Many features are not well-documented, leading to trial-and-error implementation rather than a structured onboarding experience. * The anomaly detection feature needs improvement. Currently, when an anomaly occurs, the upper and lower bounds expand, making it difficult to easily disregard the anomaly. **What problems is Elementary Data solving and how is that benefiting you?** * Data Quality Monitoring at Scale * Anomaly Detection & Data Drift Identification * Faster Issue Resolution & Debugging ### 10. Elementary Data - A game changer for proactive data quality and discovery in dbt **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Public Safety | Mid-Market (51-1000 emp.) **Reviewed Date:** November 14, 2024 **What do you like best about Elementary Data?** Elementary Cloud has been a game-changer, providing a seamless, minimal-effort implementation and direct integration with our dbt Core environment. Getting started with Elementary was incredibly straightforward, with no major configuration changes needed for our dbt project. After a simple package installation and granting basic read access to the Elementary schema in our warehouse, we were up and running the same day! The integration with Slack has proven invaluable, as our team receives real-time alerts that keep us on top of potential data issues as they arise. Being able to collaborate with teammates within our primary communication tool makes troubleshooting faster and easier. The platform’s UI is another standout feature. It's clean, intuitive, and perfectly balanced for both technical and non-technical users. And it includes column level lineage!! And last but definitely not least, the Elementary support team is phenomenal! Their responses are timely, their recommendations impactful, and they genuinely listen to our needs. Love working with them! **What do you dislike about Elementary Data?** Our dislikes are very few, especially knowing that upcoming feature enhancements will address these concerns. But to call out something specifically...One dislike is that I'm not as creative as their marketing team! Love their "I want data, not your opinion!" slogan! **What problems is Elementary Data solving and how is that benefiting you?** Enhancing data quality for our core board and company metrics, reducing the time spent on manual validation. Building trust in data, which drives increased usage across the organization. Strengthening data governance practices without compromising the speed of delivering high-quality data solutions. ### 11. Awesome, lightweight data observability tool that's dbt native **Rating:** 4.0/5.0 stars **Reviewed by:** Macklin F. | Analytics Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** May 20, 2024 **What do you like best about Elementary Data?** Most observability tools I've seen fall into two camps, either open source and really hard to use, or have total vendor lock in. Elementary straddles that line of being open source and built on top of your dbt stack, but is still very easy to set up and configure. The price point for elementary cloud is much more accessible for small startups to get started with data observability, which in my experience is walled off to enterprise-scale companies, despite often being needed in smaller company sizes. **What do you dislike about Elementary Data?** if you don't like dbt or don't have dbt set up, there's nothing to work with here. I think the company is still young and more edge cases are still being worked out, but otherwise, pretty happy so far. **What problems is Elementary Data solving and how is that benefiting you?** Anomaly detection, one view for all test failures, data lineage, pipeline health status ### 12. Growing Data Governance tools **Rating:** 4.0/5.0 stars **Reviewed by:** Facundo V. | Mid-Market (51-1000 emp.) **Reviewed Date:** January 30, 2025 **What do you like best about Elementary Data?** - Simplicity - Ease of use - Dashboards Analytics **What do you dislike about Elementary Data?** - No integration with Metabase - Not Ai tool to docs **What problems is Elementary Data solving and how is that benefiting you?** Understanding relationships between data and ensuring good data quality ### 13. The way we can monitor datasets reliability and the ease of implementation **Rating:** 4.5/5.0 stars **Reviewed by:** Panagiotis A. | Analytics Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 22, 2024 **What do you like best about Elementary Data?** What I like most about elementary is: - Easy to set it up, less than an hour - Easy to understand, it works perfectly with dbt - You can have a very clear high-level picture of the datasets (freshness, tests, runs) - Slack community and support - You can have daily alerts (based on your needs) **What do you dislike about Elementary Data?** The only thing I don't like about Elementary Data, but it's not something that discourages me from using the tool, is the fact that after some major upgrades, some problems arose. **What problems is Elementary Data solving and how is that benefiting you?** Elementary Data tries to solve data quality problems. We can alert users with ease and ensure fast resolution, especially for high-priority issues. ### 14. Best open source dbt native data observability tool **Rating:** 5.0/5.0 stars **Reviewed by:** Raghul S. | Data Enginner, Enterprise (> 1000 emp.) **Reviewed Date:** November 18, 2024 **What do you like best about Elementary Data?** Smooth inegration with dbt, and great features like alerting, anomaly detection, observability report etc. **What do you dislike about Elementary Data?** I only have positive experience so far with Elementary. **What problems is Elementary Data solving and how is that benefiting you?** Tracking my dbt models and test run, failures, runtimes, complied code. Viewing the all in one place in EDR report. ### 15. Easy to implement robust anomaly and data quality tests for DBT. **Rating:** 4.5/5.0 stars **Reviewed by:** Robele B. | Small-Business (50 or fewer emp.) **Reviewed Date:** May 30, 2024 **What do you like best about Elementary Data?** Elementary provides easy-to-setup and understand data quality and anomaly testing. I also really appreciate their Slack integration and daily reporting. This simplifies the observing and reporting of our most vital data marts. **What do you dislike about Elementary Data?** Running entire column and table anomaly checks on wide tables could increase your dbt runs by a significant amount. This is understandable, but users should know that thorough tests take time. **What problems is Elementary Data solving and how is that benefiting you?** When the number of data marts and your team is limited, Elementary helps you track anomalies. Its automated reporting makes our data engineers and analysts aware of issues with our data sets. This improves data quality, response, and trust in our organization. ### 16. The way to speed up our datasets reliability in TUI Musement **Rating:** 5.0/5.0 stars **Reviewed by:** Justo H. | Enterprise (> 1000 emp.) **Reviewed Date:** May 20, 2024 **What do you like best about Elementary Data?** The most that I like from Elementary is: - Easy to setup, just in a few minutes - Easy to understand, the UI and the integration with DBT is very smoothy - Provides a clear high level picture of the datasets and models which you are working - Nice alerts integrations **What do you dislike about Elementary Data?** Probably what I miss on the Elementary open version are some very useful features, such as the Catalog + the lineage at column level. **What problems is Elementary Data solving and how is that benefiting you?** At TUI Musement is the way that we have to track all our tests within our DBT models and have a clear and real picture of the reality of our datasets. ### 17. Great tool for visualising dbt tests **Rating:** 4.0/5.0 stars **Reviewed by:** harriet p. | Product Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** May 22, 2024 **What do you like best about Elementary Data?** Really nice integration with dbt core. Great UI for visualising data tests **What do you dislike about Elementary Data?** Downside - No way to test sensitivity of anomaly detection tests if you have multiple anomaly detection tests on a model. I use the where condition to set up tests on individual events in my data models and unfortunately there is no current way for me to monitor if my Z score is sensitive enough/too sensitive **What problems is Elementary Data solving and how is that benefiting you?** It has allowed me to set up anomaly tests which is awesome. It also gives my stakeholders a more user friendly UI to observe data tests set up with dbt. ### 18. Great slack connect for dbt core setup **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** April 05, 2024 **What do you like best about Elementary Data?** - Easy to play plugin - Integration to slack - Ability to send slack summary and individual data alerts **What do you dislike about Elementary Data?** - No modular APIs or customizations possible - Ability to send alerts by threads for repeated failures **What problems is Elementary Data solving and how is that benefiting you?** We are now able to alert users with data quality with ease and ensure fast resolution - [View Elementary Data pricing details and edition comparison](https://www.g2.com/products/elementary-data/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-27+03%3A14%3A06+-0500&secure%5Bsession_id%5D=fd48d767-cbc1-4ece-8d02-81549910481a&secure%5Btoken%5D=ffb542bc8bb2b05198367b645d06c29f0c55e8eba3c10cdeb4cccc6545b48d9e&format=llm_user) ## Elementary Data Features **Functionality** - Monitoring - Alerting - Logging - Response Time - Reporting - Data Visualization **Data Management** - Data Integration - Metadata - Self-service - Automated workflows **Functionality** - Real-time Analytics - Data quality monitoring - Automation - End to End visiblity **Agentic AI - DataOps Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Decision Making **Analytics** - Analytics capabilities - Dasboard visualizations **Management** - Anomaly identification - Single pane view - Real-time alerts - Data lineage - Integrations **Agentic AI - Database Monitoring** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Monitoring and Management** - Data Observability - Testing capabilities **Generative AI** - AI Text Generation **Functionality** - Identification - Correction - Normalization - Preventative Cleaning - Data Matching **Cloud Deployment** - Hybrid cloud support - Cloud migration capabilities **Agentic AI - Data Observability** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Natural Language Interaction - Proactive Assistance **Management** - Reporting - Automation - Quality Audits - Dashboard - Governance **Generative AI** - AI Text Generation - AI Text Summarization **Generative AI** - AI Text Generation - AI Text Summarization ## Top Elementary Data Alternatives - [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews) - 4.3/5.0 (521 reviews) - [Demandbase One](https://www.g2.com/products/demandbase-one/reviews) - 4.4/5.0 (1,941 reviews) - [Dynatrace](https://www.g2.com/products/dynatrace/reviews) - 4.5/5.0 (1,231 reviews)