Data Management in the Age of DataOps
The world of data management is more complex than ever. Information Services Group (ISG), a global technology research and advisory firm, predicts more than half of enterprises will embrace DataOps by 2026. However, with the plethora of software platforms and service providers available, it can be challenging to find the right solutions for your organization’s data pipelines, observability, and orchestration needs.
DataOps: The New Reality
ISG highlights that as enterprises scale their AI and analytics initiatives, the need for agile, collaborative, and automated data operations is becoming increasingly critical. Traditional approaches to data management, such as manual, batch-based methods, are no longer sufficient to keep up with modern data demands.
Five ISG Buyers Guides to Help You Navigate DataOps
To make it easier to identify and select the most suitable data management solutions, ISG offers five buyers guides that evaluate software providers across five key DataOps categories: DataOps, Data Orchestration, Data Observability, Data Pipelines, and Data Products.
DataOps
ISG defines DataOps as the practice of automating, orchestrating, and observing data operations to ensure the quality, reliability, and efficiency of data. The best DataOps solutions, as identified by ISG, integrate with enterprise ecosystems, reducing manual effort, enhancing efficiency, and providing real-time monitoring for accuracy and reliability.
Top DataOps Providers
ISG ranks Informatica, Microsoft, and IBM as the leading providers of DataOps solutions.
Data Orchestration
Businesses striving to innovate with data face a growing challenge in managing an intricate web of data pipelines. Data orchestration comes in to automate and accelerate the flow of data, ensuring it reaches the right systems at the right time.
Key Capabilities
ISG defines data orchestration as a means to automate and accelerate the flow of data, encompassing three key capabilities: data collection, data transformation, and data activation.
Top Data Orchestration Providers
Based on ISG findings, the top three data orchestration providers are Databricks, Microsoft, and Alteryx.
Data Observability
Enterprises rely on data observability to ensure the quality and reliability of data flowing through pipelines. Most enterprises will be turning to automated data observability tools by 2026 to build trust in their data. However, not all solutions are created equal.
Key Capabilities
ISG defines data observability tools as those that monitor not just the data in an individual environment for a specific purpose at a given point in time but also the associated upstream and downstream data pipelines.
Top Data Observability Providers
Monte Carlo, DQLabs, and Acceldata were picked as the top three providers of data observability solutions.
Data Pipelines
ISG research shows that 22% of enterprises analyze data in real-time, with an additional 10% doing so hourly. To meet this growing demand, buyers should look for platforms that enable real-time and event-driven data processing.
Key Capabilities
ISG advises buyers to explore AI-driven platforms for future scalability and solutions with Change Data Capture (CDC) to improve real-time data updates by tracking changes at the source.
Top Data Pipeline Providers
Microsoft, Alteryx, and Databricks were named by ISG as the top data pipeline solutions providers.
Data Products
ISG defines data products as reusable data assets developed using product thinking and consumed by others on a self-service basis. ISG research forecasts that by 2027, more than 60% of enterprises will adopt technologies that enhance the delivery of data as a product. This shift will be driven by businesses refining their cultural and organizational strategies for data ownership within data mesh environments.
Key Capabilities
ISG advises buyers to look for platforms that offer self-service discovery, AI-driven automation, and data product development. Tools with strong governance can address the challenge highlighted by the ISG finding that only 16% of organizations report high trust in their data.
Top Data Product Providers
According to ISG, the leading vendors to consider in this category are Microsoft, Informatica, and SAP.
Conclusion
The 2024 ISG Buyers Guide provides valuable insights into the evolving DataOps landscape, helping enterprises assess leading software providers. The Buyers Guides are based on an in-depth evaluation of 49 leading software providers, who were assessed on the product experience, customer experience, and other parameters. The complete reports and detailed research findings are available by contacting ISG Software Research.
Frequently Asked Questions
Q: What is DataOps?
A: DataOps is the practice of automating, orchestrating, and observing data operations to ensure the quality, reliability, and efficiency of data.
Q: What are the key categories of DataOps?
A: The five key categories of DataOps are DataOps, Data Orchestration, Data Observability, Data Pipelines, and Data Products.
Q: What are the top DataOps providers?
A: ISG ranks Informatica, Microsoft, and IBM as the leading providers of DataOps solutions.
Q: How can I navigate the DataOps landscape?
A: The 2024 ISG Buyers Guide provides valuable insights and assessments of leading software providers, helping you make informed decisions about DataOps solutions.
