ISG Software Research Analyst Perspectives

Redpanda Lowers the Complexity and Cost of Streaming and Event Data

Posted by Matt Aslett on 04 February 2025

I recently wrote about the need for enterprises to harness events to process and act upon data at the speed of business. The core technologies that enable enterprises to process and analyze data in real time have been in existence for many years and are widely adopted. However, streaming and events technologies are also commonly seen as a niche requirement, separate from an enterprise’s primary... Read More

Topics: Streaming Data Events, Analytics and Data

The Increasing Importance of Open Table Formats

Posted by Matt Aslett on 31 October 2024

I previously wrote about the importance of open table formats to the evolution of data lakes into data lakehouses. The concept of the data lake was initially proposed as a single environment where data could be combined from multiple sources to be stored and processed to enable analysis by multiple users for multiple purposes. The first iteration of data lakes, based on Apache Hadoop and then... Read More

Topics: Streaming Data Events, Analytics and Data

Harness Events to Process Data at the Speed of Business

Posted by Matt Aslett on 17 September 2024

The final of the men’s 100 meters at the Paris Olympics this summer was a reminder that being successful requires not just being fast but performing at the right time. Being fast is obviously a prerequisite for participating in an Olympic 100-meter final, and all the competitors finished the race in under 10 seconds, with just 0.12 seconds separating the first man from the last. While all the... Read More

Topics: Streaming Data Events, Analytics and Data

Confluent Enables Enterprises to Operate in Real Time

Posted by Matt Aslett on 14 August 2024

I have written on multiple occasions about the increasing proportion of enterprises embracing the processing of streaming data and events alongside traditional batch-based data processing. I assert that, by 2026, more than three-quarters of enterprises’ standard information architectures will include streaming data and event processing, allowing enterprises to be more responsive and provide... Read More

Topics: Streaming Data Events, Analytics and Data, AI and Machine Learning

Solace Shines for Event-Driven Integration

Posted by Matt Aslett on 16 July 2024

I previously wrote about the ongoing importance of event brokers and event management in enabling enterprises to adopt event-driven architecture and event stream processing. Many enterprises adopt EDA as the design pattern for maximizing events to deliver real-time business processes. There are many advantages to using EDA, including a cultural shift away from batch processing towards real-time... Read More

Topics: Streaming Data Events, Analytics and Data

2024 Market Agenda for Analytics and Data: Automating Intelligence

Posted by Matt Aslett on 26 January 2024

Ventana Research recently announced its 2024 Market Agenda for Analytics and Data, continuing the guidance we have offered for two decades to help enterprises derive optimal value and improve business outcomes. Enterprises of all sizes in all industries and geographies strive to improve efficiency, productivity and customer experiences through analytics and data. Doing so relies on the ability to... Read More

Topics: embedded analytics, Analytics, Business Intelligence, Data Governance, Data Management, natural language processing, data operations, Process Mining, Streaming Analytics, Streaming Data Events, analytic data platforms, Analytics and Data

Snowflake Expands Data Platform with Container Services

Posted by Matt Aslett on 07 November 2023

I previously wrote about the challenge facing distributed SQL database providers to avoid becoming pigeonholed as only being suitable for a niche set of requirements. Factors including performance, reliability, security and scalability provide a focal point for new vendors to differentiate from established providers and get a foot in the door with customer accounts. Expanding and retaining those... Read More

Topics: Analytics, Cloud Computing, Data, Digital Technology, Streaming Data Events, analytic data platforms, Analytics and Data, AI and Machine Learning

Stream and Event Processing Require Real-Time Analytics

Posted by David Menninger on 25 October 2023

In my past perspectives, I’ve written about the evolution from data at rest to data in motion and the fact that you can’t rely on dashboards for real-time analytics. Organizations are becoming more and more event-driven and operating based on streaming data. As well, analytics are becoming more and more intertwined with operations. More than one-fifth of organizations (22%) describe their... Read More

Topics: Analytics, Business Intelligence, Data, Digital Technology, Streaming Analytics, Streaming Data Events, Analytics and Data

Cloudera Facilitates Versatility with Enterprise Data and AI

Posted by Matt Aslett on 03 October 2023

The data platforms market may appear to have little or nothing to do with haute couture, but it is one of the data sectors most strongly influenced by the fickle finger of fashion. In recent years, various architectural approaches to data storage and processing have enjoyed a phase in the limelight, including data warehouse, data mart, data hub, data lake, cloud data warehouse, object storage,... Read More

Topics: Cloud Computing, Data Governance, Data Management, Data, Digital Technology, data operations, Streaming Data Events, analytic data platforms, Analytics and Data, AI and Machine Learning

Confluent’s Streaming Analytics Expands Stream Processing Use Cases

Posted by Matt Aslett on 05 September 2023

I recently wrote about the various technologies used by organizations to process and analyze data in real time. I explained that while the terms streaming data and events and streaming analytics are often used interchangeably, they are separate disciplines that make use of common underlying concepts and technologies such as events, event brokers and event-driven architecture. Confluent’s... Read More

Topics: Analytics, Cloud Computing, Data Governance, Data, Digital Technology, Streaming Analytics, Streaming Data Events

EDA with Event Brokers Enable Stream Processing

Posted by Matt Aslett on 15 August 2023

Real-time business is a modern phenomenon, and business transformation has accelerated many business events in recent years. However, the execution of business events has always occurred in real time. Rather, it is the processing of the data related to business events that has accelerated instead of the event itself. Traditionally, the most efficient way to process data has been in batches,... Read More

Topics: Analytics, Data, Streaming Analytics, Streaming Data Events

DataStax Adds Vector Search to Address Generative AI

Posted by Matt Aslett on 03 August 2023

As I have previously explained, we expect an increased demand for intelligent operational applications infused with the results of analytic processes, such as personalization and artificial intelligence-driven recommendations. These systems rely on the analysis of data in the operational data platform to accelerate worker decision-making or improve customer experience. AI-driven intelligent... Read More

Topics: Analytics, Data, Digital Technology, Streaming Analytics, Streaming Data Events, Analytics and Data, AI and Machine Learning

CelerData Enables Real-Time Analytics for the Data Lakehouse

Posted by Matt Aslett on 21 June 2023

Organizations increasingly rely on real-time analytics to make informed decisions and stay competitive in today’s data-driven business landscape. As the complexity of data grows with the continuous addition of diverse sources, customers and workers alike expect real-time responsiveness. Accelerated query performance is crucial to process and extract valuable insights from data in a timely manner.... Read More

Topics: Data Management, Data, data operations, Streaming Data Events, analytic data platforms

Seek Solace for Event-Driven Architectures and Applications

Posted by Matt Aslett on 12 April 2023

I have written recently about the increasing importance of managing data in motion and at rest as the use of streaming data by enterprise organizations becomes more mainstream. While batch-based processing of application data has been a core component of enterprise IT architecture for decades, streaming data and event processing have often been niche disciplines typically reserved for... Read More

Topics: Data, Streaming Data Events

Streaming Databases Enable Continuous Analysis and Data Persistence

Posted by Matt Aslett on 23 March 2023

Success with streaming data and events requires a more holistic approach to managing and governing data in motion and data at rest. The use of streaming data and event processing has been part of the data landscape for many decades. For much of that time, data streaming was a niche activity, however, with standalone data streaming and event-processing projects run in parallel with existing... Read More

Topics: Analytics, Data, Digital Technology, Streaming Analytics, Streaming Data Events, analytic data platforms, Analytics and Data

2023 Market Agenda for Data: Accelerating Data Agility

Posted by Matt Aslett on 18 January 2023

Ventana Research recently announced its 2023 Market Agenda for Data, continuing the guidance we have offered for two decades to help organizations derive optimal value and improve business outcomes. Organizations that make a higher proportion of business decisions based on data stand to gain competitive advantage, responding faster to worker and customer demands for more innovative, data-rich... Read More

Topics: Cloud Computing, Data Governance, Data Management, Data, Digital Technology, data operations, Streaming Data Events, analytic data platforms, Analytics and Data

The Data Pantry Accelerates Actionable Analytics for Decision-Making

Posted by Robert Kugel on 22 December 2022

Ventana Research uses the term “data pantry” to describe a method of data storage (and the technology and process blueprint for its construction) created for a specific set of users and use cases in business-focused software. It’s a pantry because all the data one needs is readily available and easily accessible, with labels that are immediately recognized and understood by the users of the... Read More

Topics: Continuous Planning, Business Intelligence, Data Management, Business Planning, Data, Financial Performance Management, Enterprise Resource Planning, continuous supply chain, data operations, Streaming Data Events, Analytics and Data, AI and Machine Learning

Databricks Lakehouse Platform Maximizes Analytical Value

Posted by Matt Aslett on 16 November 2022

I have previously written about growing interest in the data lakehouse as one of the design patterns for delivering hydroanalytics analysis of data in a data lake. Many organizations have invested in data lakes as a relatively inexpensive way of storing large volumes of data from multiple enterprise applications and workloads, especially semi- and unstructured data that is unsuitable for storing... Read More

Topics: Business Intelligence, Data Governance, Data Management, Data, Streaming Data Events, analytic data platforms, AI and Machine Learning

Cloudera Embraces SaaS with Data Lakehouse Launch

Posted by Matt Aslett on 18 October 2022

Ventana Research’s Data Lakes Dynamics Insights research illustrates that while data lakes are fulfilling their promise of enabling organizations to economically store and process large volumes of raw data, data lake environments continue to evolve. Data lakes were initially based primarily on Apache Hadoop deployed on-premises but are now increasingly based on cloud object storage. Adopters are... Read More

Topics: Business Intelligence, Data Governance, Data Management, Data, data operations, Streaming Data Events, analytic data platforms, Analytics and Data, AI and Machine Learning

Aerospike Has a Data Platform for Real-Time Intelligent Applications

Posted by Matt Aslett on 06 October 2022

Earlier this year I described the growing use-cases for hybrid data processing. Although it is anticipated that the majority of database workloads will continue to be served by specialist data platforms targeting operational and analytic workloads respectively, there is increased demand for intelligent operational applications infused with the results of analytic processes, such as... Read More

Topics: Business Intelligence, Cloud Computing, Data, Streaming Data Events, analytic data platforms, AI and Machine Learning