ISG Software Research Analyst Perspectives

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

IBM’s Cloud Pak for Data Builds a Foundation for Data Fabric

Posted by Matt Aslett on 08 November 2022

I have written recently about the similarities and differences between data mesh and data fabric. The two are potentially complementary. Data mesh is an organizational and cultural approach to data ownership, access and governance. Data fabric is a technical approach to automating data management and data governance in a distributed architecture. There are various definitions of data fabric, but... Read More

Topics: Business Intelligence, Cloud Computing, Data Governance, Data Management, Data, data operations, AI and Machine Learning

Actian Manages Avalanches of Data

Posted by Matt Aslett on 01 November 2022

In their pursuit to be data-driven, organizations are collecting and managing more data than ever before as they attempt to gain competitive advantage and respond faster to worker and customer demands for more innovative, data-rich applications and personalized experiences. As data is increasingly spread across multiple data centers, clouds and regions, organizations need to manage data on... Read More

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

Orchestrating Data Pipelines Facilitates Data-Driven Analytics

Posted by Matt Aslett on 25 October 2022

I have written a few times in recent months about vendors offering functionality that addresses data orchestration. This is a concept that has been growing in popularity in the past five years amid the rise of Data Operations (DataOps), which describes more agile approaches to data integration and data management. In a nutshell, data orchestration is the process of combining data from multiple... Read More

Topics: Data Management, Data, data operations, Analytics and Data, 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

Ocient Delivers Ad Hoc Analytics on Hyperscale Workloads

Posted by Matt Aslett on 12 October 2022

I have written before about the continued use of specialist operational and analytic data platforms. Most database products can be used for operational or analytic workloads, and the number of use cases for hybrid data processing is growing. However, a general-purpose database is unlikely to meet the most demanding operational or analytic data platform requirements. Factors including performance,... Read More

Topics: business intelligence, Cloud Computing, Data Management, Data, analytic data platforms, Analytics and Data

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

Astronomer’s Cloud-Based Data Orchestration Brings Efficiency

Posted by Matt Aslett on 29 September 2022

I have recently written about the organizational and cultural aspects of being data-driven, and the potential advantages data-driven organizations stand to gain by responding faster to worker and customer demands for more innovative, data-rich applications and personalized experiences. I have also explained that data-driven processes require more agile, continuous data processing, with an... Read More

Topics: Cloud Computing, Data Management, Data, data operations, Analytics and Data

The Data Catalog is Indispensable for Good Data Governance

Posted by Matt Aslett on 21 September 2022

The data catalog has become an integral component of organizational data strategies over the past decade, serving as a conduit for good data governance and facilitating self-service analytics initiatives. The data catalog has become so important, in fact, that it is easy to forget that just 10 years ago it did not exist in terms of a standalone product category. Metadata-based data management... Read More

Topics: business intelligence, Data Governance, Data Management, Data, data operations, Analytics and Data

Zoho One Reaching Needs of Larger Organizations

Posted by Keith Dawson on 07 September 2022

Zoho presented analysts with a deep look at its strategy and roadmap at its July analyst conference, describing how it intends to meld its many business applications together through integration at the level of the platform. The company, which is privately owned and funded, has generally sought to build its own tools rather than buy or partner. This approach has allowed the firm to create a suite... Read More

Topics: Customer Experience, Voice of the Customer, Data, AI and Machine Learning

Rockset Offers Cloud-Based Real-Time Analytics

Posted by Matt Aslett on 30 August 2022

I have written recently about increased demand for data-intensive applications infused with the results of analytic processes, such as personalization and artificial intelligence (AI)-driven recommendations. Almost one-quarter of respondents (22%) to Ventana Research’s Analytics and Data Benchmark Research are currently analyzing data in real time, with an additional 10% analyzing data every... Read More

Topics: Cloud Computing, Data, Streaming Analytics, Streaming Data Events, analytic data platforms, Analytics and Data

Streaming Data Success Relies on Managing Data in Motion and At Rest

Posted by Matt Aslett on 16 August 2022

I recently noted that as demand for real-time interactive applications becomes more pervasive, the use of streaming data is becoming more mainstream. Streaming data and event processing has been part of the data landscape for many decades, but for much of that time, data streaming was a niche activity. Although adopted in industry segments with high-performance, real-time data processing and... Read More

Topics: Big Data, Data, Streaming Analytics, Streaming Data Events, Analytics and Data

Ascend.io Automates Data Engineering

Posted by Matt Aslett on 09 August 2022

I have recently written about the importance of healthy data pipelines to ensure data is integrated and processed in the sequence required to generate business intelligence, and the need for data pipelines to be agile in the context of real-time data processing requirements. Data engineers, who are responsible for monitoring, managing and maintaining data pipelines, are under increasing pressure... Read More

Topics: Big Data, Cloud Computing, Data Management, Data, data operations

Neo4j Expands Data Science Focus with New Managed Service

Posted by Matt Aslett on 03 August 2022

I recently explained how emerging application requirements were expanding the range of use cases for NoSQL databases, increasing adoption based on the availability of enhanced functionality. These intelligent applications require a close relationship between operational data platforms and the output of data science and machine learning projects. This ensures that machine learning and predictive... Read More

Topics: Business Intelligence, Data, analytic data platforms, AI and Machine Learning

DataStax Provides a Platform for Data in Motion and at Rest

Posted by Matt Aslett on 27 July 2022

Streaming data has been part of the industry landscape for decades but has largely been focused on niche applications in segments with the highest real-time data processing and analytics performance requirements, such as financial services and telecommunications. As demand for real-time interactive applications becomes more pervasive, streaming data is becoming a more mainstream pursuit, aided by... Read More

Topics: Data, Streaming Analytics, Streaming Data Events

Data-Driven Agenda for Organizations

Posted by Matt Aslett on 21 July 2022

When joining Ventana Research, I noted that the need to be more data-driven has become a mantra among large and small organizations alike. Data-driven organizations stand to gain competitive advantage, responding faster to worker and customer demands for more innovative, data-rich applications and personalized experiences. Being data-driven is clearly something to aspire to. However, it is also a... Read More

Topics: embedded analytics, Analytics, Business Intelligence, Data Governance, Data Integration, Data, Digital Technology, natural language processing, data lakes, data operations, Streaming Analytics, Streaming Data Events, Analytics and Data, AI and Machine Learning

TigerGraph Promotes Graph Database for Data Science with ML Workbench

Posted by Matt Aslett on 14 July 2022

I recently wrote about the growing range of use cases for which NoSQL databases can be considered, given increased breadth and depth of functionality available from providers of the various non-relational data platforms. As I noted, one category of NoSQL databases — graph databases — are inherently suitable for use cases that rely on relationships, such as social media, fraud detection and... Read More

Topics: business intelligence, Analytics, Cloud Computing, Data, Digital Technology, Analytics and Data, AI and Machine Learning

Ahana Offers Managed-Services Approach to Simplify Presto Adoption

Posted by Matt Aslett on 29 June 2022

I previously described the concept of hydroanalytic data platforms, which combine the structured data processing and analytics acceleration capabilities associated with data warehousing with the low-cost and multi-structured data storage advantages of the data lake. One of the key enablers of this approach is interactive SQL query engine functionality, which facilitates the use of existing... Read More

Topics: Analytics, Business Intelligence, Cloud Computing, Data, Digital Technology, data lakes, data operations, Analytics and Data, AI and Machine Learning

Dremio Embraces Data Lakehouse with Cloud Launch

Posted by Matt Aslett on 24 June 2022

I previously explained how the data lakehouse is one of two primary approaches being adopted to deliver what I have called a hydroanalytic data platform. Hydroanalytics involves the combination of data warehouse and data lake functionality to enable and accelerate analysis of data in cloud storage services. The term data lakehouse has been rapidly adopted by several vendors in recent years to... Read More

Topics: business intelligence, Analytics, Data, data lakes

MariaDB Offers One Database for All Workloads

Posted by Matt Aslett on 14 June 2022

As I recently described, it is anticipated that the majority of database workloads will continue to be served by specialist data platforms targeting operational and analytic workloads, albeit with growing demand for hybrid data processing use-cases and functionality. Specialist operational and analytic data platforms have historically been the since preferred option, but there have always been... Read More

Topics: Analytics, Business Intelligence, Cloud Computing, Data, Digital Technology, Analytics and Data