--- 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: '2026-08-07' 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 appreciate the **seamless integration and automation** features of Elementary Data, enhancing data quality and monitoring efficiency. (8 reviews) - Users love the **seamless integration with dbt** , providing real-time alerts and an intuitive user interface for monitoring. (8 reviews) - Users commend the **ease of use** of Elementary Data, appreciating its intuitive setup and seamless integration with dbt. (7 reviews) - Users value the **Slack integration** for real-time alerts, enhancing collaboration and quick troubleshooting for data issues. (7 reviews) - Users value the **daily alerts** feature of Elementary Data, enhancing data monitoring and responsiveness effortlessly. (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 face **integration issues** with tools like Metabase and BI systems, complicating their workflow and usability. (6 reviews) - Users face **database integration issues** due to limited compatibility, hindering flexibility and adaptability in diverse workflows. (4 reviews) - Users note the **limited integration** options of Elementary Data, impacting its adaptability with various BI platforms. (3 reviews) - Users note **API limitations** that hinder integrations and customization, suggesting the need for a more robust solution. (2 reviews) - Users find **limited features** in Elementary Data, hindering its full potential and causing reliance on trial-and-error. (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. 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. ### 2. 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. ### 3. 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. ### 4. 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. ### 5. 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. ### 6. 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. ### 7. 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 ### 8. 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. ### 9. 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. ### 10. 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. ### 11. 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. ### 12. 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. - [View Elementary Data pricing details and edition comparison](https://www.g2.com/products/elementary-data/reviews?filters%5Bnps_score%5D%5B%5D=5§ion=pricing&secure%5Bexpires_at%5D=2026-08-08+17%3A43%3A42+-0500&secure%5Bsession_id%5D=11cd2f72-e520-4984-b3fa-76f55354dbf2&secure%5Btoken%5D=b8aefa294ecfc00031961c854ef3e8676bf676d6d2b0b3358bce4320eb18db31&format=llm_user) ## Elementary Data Features **Functionality** - Monitoring - Alerting - Logging - Response Time - Reporting - Data Visualization - Performance Monitoring - Real-Time Monitoring - Server Monitoring - Real-Time Reporting - Uptime Reporting - Transaction Monitoring - Real-Time Data **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 - Third-Party Integrations - Capacity Planning **Additional Functionality** - Resource Management - Anomaly Detection - Visual Analytics - Remote Monitoring & Management - Secure Data Storage - Dashboard - Generative AI - Configuration Management - API - User Management - Capacity Management - Diagnostic Tools - Dependency Tracking - Troubleshooting - Reporting & Statistics - Reporting/Analytics - Predictive Analytics - Audit Management - Real-Time Notifications - Application Management - Data Storage Management - Application-Level Analysis - Multitenancy - Query Analysis - Performance Management - Access Controls/Permissions - Compliance Management - Historical Trend Analysis - Alerts/Notifications - Summary Reports - AI Copilot - Event Logs - Dashboard Creation - Automated Discovery - Prioritization - Issue Tracking - Activity Dashboard - Performance Metrics - Resource Optimization - Real-Time Analytics - Status Tracking **Monitoring and Management** - Data Observability - Testing capabilities **Generative AI** - AI Text Generation **Functionality** - Identification - Correction - Normalization - Preventative Cleaning - Data Matching - Real-Time Data **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 - Generative AI **Additional Functionality** - Metadata Management - Collaboration Tools - Search/Filter - Workflow Management - AI Copilot - Third-Party Integrations - Data Synchronization - Data Import/Export - Customizable Rules - Master Data Management - Monitoring - Data Transformation - Multiple Data Sources - Self Service Portal - Customer Database - Data Verification - Data Migration - Multi-Language - Single Sign On - Duplicate Detection - Email Address Extraction - Reporting/Analytics - Data Profiling - Data Extraction - Data Mapping - Address Validation - Match & Merge - Performance Metrics - Visual Analytics - Version Control - API - Data Capture and Transfer - Access Controls/Permissions - Compliance Management - Data Discovery ## Top Elementary Data Alternatives - [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews) - 4.3/5.0 (533 reviews) - [GTM Studio - Powered by ZoomInfo](https://www.g2.com/products/gtm-studio-powered-by-zoominfo/reviews) - 4.5/5.0 (3,395 reviews) - [Demandbase One](https://www.g2.com/products/demandbase-one/reviews) - 4.4/5.0 (1,941 reviews)