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Elementary Data description
Elementary Data is a data observability tool specifically designed for companies using dbt (data build tool) in their data stack. It integrates directly into your existing dbt workflow to monitor your data pipelines for any errors or anomalies. This allows your data team to find and fix problems quickly, ensuring that the data you use for decision making is reliable. Elementary Data prides itself on being easy to use and scalable, aiming to make data health transparent for everyone in your organization.
What companies are using Elementary Data?
Who is Elementary Data best for
Elementary Data helps data-driven organizations maintain high data quality. It integrates with dbt to monitor pipelines, detect anomalies, and ensure data reliability. This observability tool is designed for small to large enterprises, especially those in finance or software.
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Ideal for medium-sized businesses (101-1000 employees) seeking a user-friendly data observability platform.
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Best suited for finance, banking, insurance, and software/IT/telecom companies using dbt.
Elementary Data features
Supported Provides pre-configured monitors for various metrics with automatic setup based on table characteristics. |
Supported Offers diverse analytical methods for detecting data quality issues beyond standard monitors. |
Supported Supports a code-first approach to define and manage tests within dbt. |
Supported Tracks data lineage automatically, helping understand relationships and diagnose root causes. |
Supported Offers pre-configured alerts with customizability for different channels. |
Supported Manages data quality within dbt, enabling version control, collaboration, and automation. |
Supported Offers a central dashboard to visualize metrics and track overall data health. |
Elementary Data pricing
The commentary is based on 1 reviews from Elementary Data G2 reviews.
Elementary Data offers an accessible price point, especially beneficial for startups seeking data observability solutions. This makes it a cost-effective alternative to enterprise-grade tools, often priced out of reach for smaller companies. The open-source nature further enhances its value proposition.
See the Elementary Data pricing page.
Elementary Data alternatives
CountCollaborative analytics platform. Explore, model, and visualize data. SQL, Python, or low-code.Read more
Elementary Data FAQ
Elementary Data is a data observability platform built for dbt users. It helps monitor data pipelines for errors and anomalies, enabling quick identification and resolution of data quality issues. Elementary Data integrates seamlessly with dbt, providing automated monitoring, anomaly detection, and data lineage tracking within your existing workflow.
What is Elementary Data and what does Elementary Data do?
Elementary Data is a data observability platform built for dbt users. It helps monitor data pipelines for errors and anomalies, enabling quick identification and resolution of data quality issues. Elementary Data integrates seamlessly with dbt, providing automated monitoring, anomaly detection, and data lineage tracking within your existing workflow.
Elementary Data seamlessly integrates with dbt, embedding data quality management directly within your existing dbt workflows. This native integration allows for automated monitoring, testing, and lineage tracking without disrupting your data pipelines.
How does Elementary Data integrate with other tools?
Elementary Data seamlessly integrates with dbt, embedding data quality management directly within your existing dbt workflows. This native integration allows for automated monitoring, testing, and lineage tracking without disrupting your data pipelines.
Alternatives to Elementary Data include Monte Carlo, Soda, dbt, Count, and Datafold. These competitors offer similar data observability, quality, and pipeline monitoring functionalities. Some, like dbt, focus on data transformation while others specialize in broader data reliability solutions.
What the main competitors of Elementary Data?
Alternatives to Elementary Data include Monte Carlo, Soda, dbt, Count, and Datafold. These competitors offer similar data observability, quality, and pipeline monitoring functionalities. Some, like dbt, focus on data transformation while others specialize in broader data reliability solutions.
Elementary Data appears legitimate. It integrates with dbt, offers automated data monitoring and anomaly detection, and boasts a user-friendly interface. G2 gives it a 4.3/5 star rating, further suggesting its legitimacy and reliability for data observability.
Is Elementary Data legit?
Elementary Data appears legitimate. It integrates with dbt, offers automated data monitoring and anomaly detection, and boasts a user-friendly interface. G2 gives it a 4.3/5 star rating, further suggesting its legitimacy and reliability for data observability.
I couldn't find pricing details for Elementary Data. Contact Elementary Data directly to determine if the product is worth the investment based on your specific needs.
How much does Elementary Data cost?
I couldn't find pricing details for Elementary Data. Contact Elementary Data directly to determine if the product is worth the investment based on your specific needs.
Elementary Data's customer service is viewed positively. Users appreciate the easy setup and implementation, helpful support, and the Slack community. While some users mentioned issues arising after major upgrades, it wasn't a deterrent from using the tool.
Is Elementary Data customer service good?
Elementary Data's customer service is viewed positively. Users appreciate the easy setup and implementation, helpful support, and the Slack community. While some users mentioned issues arising after major upgrades, it wasn't a deterrent from using the tool.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.
An AI tool that observes your work, finds inefficiencies, and suggests smarter ways to do things. Maybe you can use your tools better, automate tasks, or switch software.