hadoop8 min Read

This blog post describes how Hadoop has moved through the famous Gartner Hype Cycle, and how it is now often combined with SQL-native solut…
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hadoop12 min Read

It’s time for us to admit what we have all known is true for a long time: NoSQL is the wrong tool for many of the modern application use cases, and it’s time that we move on. NoSQL came into existence because the databases at the time couldn’t handle the scale required. The rise of this new generation of data services solved many of the problems of web scale and rapidly growing data sets when it was created more than a decade ago. NoSQL also offered a new, cost-effective method for cold storage…
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Case Study4 min Read

SME Solutions Group is a SingleStore partner. An SME customer, a utility company, was installing a new meter network, comprising 2 million meters, generating far more data than the old meters. The volume of data coming in, and reporting needs, were set to overwhelm their existing, complex, Hadoop-based solution. The answer: replacing 10 different data processing components with a single SingleStore cluster. The result: outstanding performance, scalability for future requirements, the ability to…
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hadoop1 min Read

Many companies, including our customers, have invested heavily in Hadoop infrastructure. In a recent blog post , we explored the topic of hype when it came to enterprises deploying Hadoop across their organizations, and ultimately where Hadoop falls short for certain use cases. Using SingleStore, many of our customers have been able to augment Hadoop using our HDFS pipelines feature, allowing them to quickly ingest from the Hadoop Distributed File System (HDFS) and perform analysis of their…
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hadoop6 min Read

In this blog post, part one of a two-part series, we look at the state of Hadoop from a macro perspective. In the second part of this series, we will look at how Hadoop and SingleStore can work together to solve many of the problems described here. 2008 was a big year for Apache Hadoop. It appeared organizations had finally found the panacea for working with exploding quantities of data with the rise of mobile and desktop web. Yahoo launched the world’s largest Apache Hadoop production…
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Apache Kafka7 min Read

A Fortune 50 company tried traditional SQL databases, then Hadoop, to manage financial updates company-wide. They finally found a successful solution by augmenting Hadoop with SingleStore. Many companies today are straining to meet the needs for faster ad hoc analytics, dashboards, reporting, and support for modern applications that depend on fast access to the latest data – in particular, financial data. Facing competitive and customer pressures, IT organizations must respond to a rapid…
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hadoop4 min Read

Bill Vorhies of Data Science Central and Rick Negrin of SingleStore recently delivered a webinar on data lakes and the use of Hadoop in the age of operational machine learning (ML) and artificial intelligence (AI). In this blog post, we summarize some of the key points from the webinar, as a preview for the webinar. You can also view the recorded webinar at any point. Businesses need flexible access to their data to make the best decisions. Unfortunately, the systems in use today impose…
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Data Warehouse3 min Read

Data is changing. You knew that. But the dialog over the past 10 years around big data and Hadoop is rapidly moving to data and real-time. We have tackled how to capture big data at scale. We can thank the Hadoop Distributed File System for that, as well as cloud object stores like AWS S3. But we have not yet tackled the instant results part of big data. For that we need more. But first, some history. Turning Point for the Traditional Data Warehouse Internet scale workloads that emerged in the…
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hadoop1 min Read

While SingleStore and Hadoop are both data stores, they fill different roles in the data processing and analytics stack. The Hadoop Distributed File System (HDFS) enables businesses to store large volumes of immutable data, but by design, it is used almost exclusively for batch processing. Moreover, newer execution frameworks, that are faster and storage agonistic, are challenging MapReduce as businesses’ batch processing interface of choice. Lambda Architecture A number of SingleStore customers…
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