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July 10, 2024

Bigeye Named as a Representative Vendor in 2024 Gartner® Market Guide for Data Observability Tools

We're excited to announce that Bigeye has been recognized as a Representative Vendor in the 2024 Gartner Market Guide for Data Observability Tools.

Adrianna Vidal

We're excited to announce that Bigeye has been recognized as a Representative Vendor in the 2024 Gartner Market Guide for Data Observability Tools. We believe this recognition highlights our critical role in a rapidly growing market that's for enterprises aiming to ensure the reliability of their data assets.

Understanding the Market Guide for Data Observability

The Gartner Market Guide for Data Observability provides an in-depth look at the data observability market, emphasizing its importance in enhancing business operations through improved data quality and reliability. The Market Guide is a trusted resource for data leaders looking to understand the benefits and implementation of data observability tools.

Bigeye's Role in the Market

One of our enterprise clients, with over 7,000 full-time employees, has seen significant benefits since implementing our data observability solutions. Their data team now proactively identifies and resolves 2-3 data pipeline issues per month. This proactive approach lead to higher data fidelity, reduced backfill work, substantial time savings for data engineering teams, and more reliable data for analysts and decision-makers.

You can learn more about how other enterprises are benefiting from Bigeye by viewing our case studies here.

Insights from Bigeye's Leadership

Kyle Kirwan, CEO of Bigeye, shared his thoughts on the recognition: “I believe The Gartner Market Guide is an excellent resource for data leaders who want to deeply understand data observability before investing in it for their own data environments. I’m proud that Bigeye has been mentioned in the Market Guide, in addition to being included as a Representative Vendor.”

Eleanor Treharne-Jones, COO of Bigeye, added, “We are committed to advancing the capabilities of our data observability platform and addressing the needs of global enterprises for end-to-end data observability across different environments, not just the modern data stack. We believe our recognition as a Representative Vendor in the Gartner Market Guide reflects our performance in a rapidly growing industry set for significant expansion.”

The Future of Data Observability

The Gartner report stated that, “According to Gartner’s Chief Data and Analytics Officer Agenda Survey for 2024, 22% of respondents said they have already implemented data observability tools. In addition, 38% of respondents claimed they will be piloting or deploying the tools within 12 months, and 28% said they will pilot or deploy the tools within one to two years. Most of the D&A leaders (65%) also responded that data observability would be a core element of their data strategy within two years.”

Explore Bigeye’s Data Observability Solutions

As the market for data observability evolves, Bigeye continues to grow with scalable and secure solutions tailored to large-scale enterprises. These solutions help optimize data management practices, reduce downtime, and promote a proactive approach to data quality issues.

We invite business leaders and data teams to explore how our data observability solutions can integrate with their data management strategies to drive more accurate and reliable business insights.

View the 2024 Gartner® Market Guide for Data Observability Tools and download your complimentary report here.

Gartner, Market Guide for Data Observability Tools, Melody Chien, Jason Medd, Lydia Ferguson, Michael Simone, 25 June 2024

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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Resource
Monthly cost ($)
Number of resources
Time (months)
Total cost ($)
Software/Data engineer
$15,000
3
12
$540,000
Data analyst
$12,000
2
6
$144,000
Business analyst
$10,000
1
3
$30,000
Data/product manager
$20,000
2
6
$240,000
Total cost
$954,000
Role
Goals
Common needs
Data engineers
Overall data flow. Data is fresh and operating at full volume. Jobs are always running, so data outages don't impact downstream systems.
Freshness + volume
Monitoring
Schema change detection
Lineage monitoring
Data scientists
Specific datasets in great detail. Looking for outliers, duplication, and other—sometimes subtle—issues that could affect their analysis or machine learning models.
Freshness monitoringCompleteness monitoringDuplicate detectionOutlier detectionDistribution shift detectionDimensional slicing and dicing
Analytics engineers
Rapidly testing the changes they’re making within the data model. Move fast and not break things—without spending hours writing tons of pipeline tests.
Lineage monitoringETL blue/green testing
Business intelligence analysts
The business impact of data. Understand where they should spend their time digging in, and when they have a red herring caused by a data pipeline problem.
Integration with analytics toolsAnomaly detectionCustom business metricsDimensional slicing and dicing
Other stakeholders
Data reliability. Customers and stakeholders don’t want data issues to bog them down, delay deadlines, or provide inaccurate information.
Integration with analytics toolsReporting and insights

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