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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 is a data observability tool tailored for organizations utilizing dbt for data transformation. We find that it shines in data-driven environments where data reliability is paramount. It empowers data teams to swiftly identify and resolve issues, ensuring dependable data for informed decision-making.
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Perfect for mid-sized companies (101-1000 employees) seeking user-friendly data observability in their dbt workflows.
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Specifically beneficial for Software, IT, and Telecommunications industries leveraging dbt for data transformation.
Elementary Data features
Supported Automated Monitors: Monitors data freshness, volume, and schema changes for all production tables. It provides out-of-the-box monitors activated automatically without manual configuration. These monitors leverage metadata such as information schema and query history for monitoring with low compute cost and include automated adjustments based on the frequency of updates, seasonality, and trends. |
Supported Anomaly Detection: Identifies and surfaces outliers and unexpected changes in data, offering various analytical methods, including statistical, time series, and distribution analysis techniques, to pinpoint potential data quality issues that automated monitors may overlook. |
Supported Data Tests: Allows defining custom data tests using SQL or Python directly within dbt models. This code-first approach simplifies test management, automatically versions tests alongside dbt code, and ensures data validation during transformation processes. |
Supported Lineage: Provides automated lineage tracking, visualizing data flow and dependencies across tables and pipelines. This helps understand data origins, impacts of changes, and diagnose root causes of data quality issues. |
Supported Alerts: Offers pre-configured and customizable alerts to promptly notify users about critical data quality issues, schema changes, and other anomalies through various channels such as Slack, email, and PagerDuty. |
Supported Code-First: Uses a code-first approach, integrating seamlessly with dbt (data build tool) to manage data quality as code. This enables version control, collaboration, and automation of data quality workflows within the dbt ecosystem. |
Supported Dashboard: Provides a central dashboard to monitor data quality metrics, visualize trends, and track the status of data pipelines. It allows users to gain a comprehensive overview of data health and identify potential issues. |
Supported Catalog: Provides a searchable and filterable inventory of all data assets, including tables, columns, and their associated metadata, such as descriptions, owners, and lineage information. Enables data discovery and understanding of data context. |
Elementary Data pricing
The commentary is based on 1 reviews from Elementary Data G2 reviews.
We find Elementary Data's pricing to be very accessible, especially for startups needing data observability. It's a great entry point compared to enterprise-focused solutions, making it easier for smaller companies to benefit from this type of tool.
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 data teams monitor pipelines, detect anomalies, and ensure data reliability, using a code-first approach for seamless integration with existing workflows. We find that its automated monitoring and alerting features are especially useful for proactive data quality management.
What is Elementary Data and what does Elementary Data do?
Elementary Data is a data observability platform built for dbt users. It helps data teams monitor pipelines, detect anomalies, and ensure data reliability, using a code-first approach for seamless integration with existing workflows. We find that its automated monitoring and alerting features are especially useful for proactive data quality management.
Elementary Data integrates directly with your dbt (data build tool) workflow. This tight integration allows for automated monitoring, testing, and lineage tracking within your existing dbt projects. We find this approach simplifies data observability for data teams.
How does Elementary Data integrate with other tools?
Elementary Data integrates directly with your dbt (data build tool) workflow. This tight integration allows for automated monitoring, testing, and lineage tracking within your existing dbt projects. We find this approach simplifies data observability for data teams.
We find that Elementary Data's main competitors are Monte Carlo, dbt, Soda, Count, Datafold, and Datacoves. These alternatives offer similar data observability, quality, and transformation features.
What the main competitors of Elementary Data?
We find that Elementary Data's main competitors are Monte Carlo, dbt, Soda, Count, Datafold, and Datacoves. These alternatives offer similar data observability, quality, and transformation features.
Elementary Data appears to be a legitimate data observability platform. We find that their focus on dbt users and positive G2 reviews suggest they offer a valuable service. However, the recent decline in website traffic warrants further investigation.
Is Elementary Data legit?
Elementary Data appears to be a legitimate data observability platform. We find that their focus on dbt users and positive G2 reviews suggest they offer a valuable service. However, the recent decline in website traffic warrants further investigation.
I'm sorry, but pricing information for Elementary Data is not available at this time. We recommend contacting Elementary Data directly for the most up-to-date pricing details.
How much does Elementary Data cost?
I'm sorry, but pricing information for Elementary Data is not available at this time. We recommend contacting Elementary Data directly for the most up-to-date pricing details.
Elementary Data's customer support receives positive feedback. Users appreciate the easy setup, clear high-level data overview, and helpful Slack community. While some users experienced minor issues after major upgrades, it hasn't deterred them from using the tool.
Is Elementary Data customer service good?
Elementary Data's customer support receives positive feedback. Users appreciate the easy setup, clear high-level data overview, and helpful Slack community. While some users experienced minor issues after major upgrades, it hasn't deterred them 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.