Independent analysis of software rates technology providers on products that address key elements of data observability software across seven product and customer experience evaluation categories.
BEND, OR, October 10, 2023 /24-7PressRelease/ — Today Ventana Research released its 2023 Buyers Guide for Data Observability, a quantified, research-based report evaluating technology providers and products. The Buyers Guide assesses 7 vendors’ products using our Value Index methodology to evaluate software in seven key categories that are weighted to reflect buyers’ needs based on our expertise and research. The Buyers Guide for Data Observability evaluates products that address key elements of data observability as we define them.
The need to monitor the pipelines and processes in data-processing and analytics environments has driven the emergence of a new category of software: data observability.
Inspired by the observability platforms that provide an environment for monitoring metrics, traces, and logs to track application and infrastructure performance, data observability software provides an environment for monitoring the quality and reliability of data used for analytics and governance projects.
“The importance of trust in data has arguably never been greater. As organizations aspire to be more data-driven, it is critical to trust the data used to make decisions,” said Matt Aslett, VP and Research Director at Ventana Research. “Data observability software automates the monitoring of data to assess its health based on key attributes including freshness, distribution, volume, schema, and lineage. It has a critical role to play in evaluating the performance and reliability of data pipelines, as well as the quality and validity of data, to deliver the benefits of investment in data and analytics.”
The Buyers Guide for Data Observability evaluates the following vendors that offer products that address key elements of data observability as we define them: Acceldata, Collibra, DataKitchen, IBM, Monte Carlo, Precisely, and Stonebranch.
The research finds Monte Carlo atop the list, followed by IBM and Acceldata. Companies that place in the top three of a category earn the designation of Leader. IBM and Monte Carlo have done so in all of the seven categories; Acceldata in four; Collibra in two and Precisely in one category.
The research places vendors into one of four overall categories: Exemplary, Innovative, Assurance, or Merit. This representation classifies vendors’ weighted performance overall in Product Experience and Customer Experience. The vendors were awarded the following categories:
– Exemplary: Collibra, IBM, and Monte Carlo.
– Innovative: Acceldata.
– Assurance: DataKitchen.
– Merit: Precisely and Stonebranch.
This Ventana Research Buyers Guide for Data Observability is the distillation of over a year of market and product research efforts. It is an assessment of how well vendors’ offerings will address organizations’ requirements for data observability software. The index is structured to support a request for information (RFI) that could be used in the RFP process by incorporating all criteria needed to evaluate, select, utilize, and maintain relationships with technology vendors. An effective product and customer experience with a technology vendor can ensure the best long-term relationship and value achieved from a resource and financial investment.
The structure of the research reflects our understanding that the effective evaluation of vendors and products involves far more than just examining product features, potential revenue, or customers generated from a vendor’s marketing and sales efforts. We believe it is important to take a comprehensive research-based approach since making the wrong choice of a data observability technology can raise the total cost of ownership, lower the return on investment, and hamper an organization’s ability to reach its potential performance. In addition, this approach can reduce the project’s development and deployment time and eliminate the risk of relying on a short list of vendors that do not represent the best fit for your organization.
“Our research shows data quality is one of the most time-consuming tasks in analytics processes,” said David Menninger, SVP and Research Director at Ventana Research. “Rather than address data quality issues after the fact, data, metadata, and telemetry can be evaluated continuously to identify data quality issues. This Buyers Guide will help organizations evaluate data observability vendors that are providing these capabilities.”
The Buyers Guide for Data Observability is neither sponsored nor influenced by technology vendors and is conducted solely in pursuit of Ventana Research’s mission to provide value to business and IT through the Consulting, Advisory, Research, and Education (CARE) portfolio of services. Ventana Research’s goal is to help guide organizations to optimal efficiency in their use of technology investments for business and IT. Please click here to learn more and read the Buyers Guide for Data Observability.
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