The Coolest Data Observability Companies Of The 2023 Big Data 100
Part 6 of CRN’s 2023 Big Data 100 takes a look at the vendors solution providers should know in the data observability space.
Seeing Is Believing
Can you count on your data?
With so much riding on big data today, problems with data quality and reliability can be as disruptive to business operations as an IT system outage—or worse because the damage may not be discovered until after the fact, such as with a marketing campaign that failed due to faulty data.
That’s why there has been so much recent buzz over data observability tools and why it’s a category in this year’s Big Data 100.
Some data availability tools are focused on the data itself as part of an organization’s data operations (DataOps) initiative, monitoring and managing the quality and reliability of data, data pipelines and data infrastructure, and helping to investigate and remediate data-related problems. Such efforts are critical for maintaining high-quality data for internal operations, data engineering projects, and for building and operating data products and services.
Other observability systems collect data, including metric, trace and log machine data, from IT and operational systems and use it to monitor and manage the health and performance of those systems.
Data observability has certainly caught the attention of the major vendors. In June 2022 IBM acquired Databand.ai, an Israel-based data observability platform developer whose technology is used to understand the health of a organization’s data and identify and remediate data problems before they impact business operations.
As part of the CRN 2023 Big Data 100, CRN has compiled a list of data observability vendors that solution providers should be familiar with. They include established vendors such as Splunk and New Relic and startups such as Monte Carlo, Bigeye and Cribl.
This week CRN is running the Big Data 100 list in a series of slide shows, organized by technology category, spotlighting vendors of business analytics software, database systems, data warehouse and data lake systems, data management and integration software, data observability tools, and big data systems and cloud platforms.
Some vendors market big data products that span multiple technology categories. They appear in the slideshow for the technology segment in which they are most prominent.