Artificial Intelligence3 min Read

Introduction Machine Learning (ML) and Artificial Intelligence (AI) have stirred the technology sector into a flurry of activity over the p…
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Data Warehouse1 min Read

The data management solutions for analytics market is evolving. Disruption is accelerating in this market, with more demand for broad solutions that address multiple data types and offer different delivery models. We are hosting complimentary access to the full Gartner Magic Quadrant for Data Management Solutions for Analytics, so you can learn more about what’s happening in this space. Access Here → SingleStore Positioned as Challenger in Gartner Magic Quadrant SingleStore has been positioned…
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Data Warehouse3 min Read

We know choosing or evaluating a new database technology can be challenging due to the variety of choices available. In a recent webcast, we shared various use cases businesses face with traditional database and data warehouse technologies, key differentiators and architectures of SingleStore, sample applications and customer case studies, and a quick demo of SingleStore. SingleStore provides an adaptable database for real-time applications that unite transactions and analytics in a single high…
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Amazon6 min Read

The database market is large and filled with many solutions. In this post, we will take a look at what is happening within AWS, the overall data landscape, and how customers can benefit from using SingleStore within the AWS ecosystem. Understanding the AWS Juggernaut At AWS re:Invent in December 2017, AWS CEO Andy Jassy revealed that the business is at a revenue run rate of $18 billion, growing 42 percent per year. Those numbers are staggering and showcase the importance Amazon Web Services now…
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Data Warehouse3 min Read

Traditional data warehouses and databases were built for workloads that manifested 20 years ago. They are sufficient for what they were built to do, but these systems are struggling to meet the demands of modern business with the volume, velocity, and user demand of data. IT departments are being challenged from both ends. On one side, companies want to analyze the deluge of data in real time, or near real time. On the other side, on the consumption end, the need to analyze and get value out of…
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Data Warehouse1 min Read

As always-on devices and sensors proliferate, the data emitted from these devices provides meaningful insights to improve customer experiences, optimize costs, and identify new revenue opportunities. In a recent report, Taking the Pulse of Enterprise IoT from McKinsey & Company, 48 percent of respondents cited “managing data” as a critical capability gap related to their IoT initiatives.1 The data infrastructure behind IoT applications requires a high performing and easy-to-access platform to…
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Data Warehouse6 min Read

Even the most technically-minded companies need to think about design. Working on a database product at a startup is no different. But this comes with challenges, such as figuring out how to implement the human-centered design methodology at a technical company, but also contribute to building a design process that everyone agrees with across the organization. This blog will detail how product design is done at SingleStore as well as highlight how to design enterprise products at a startup. How…
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Artificial Intelligence5 min Read

We are enchanted by the possibility of digital disruption. New computing approaches, from cloud to artificial intelligence and machine learning, promise new business models and untold efficiencies. We are closing the gap between science fiction and business operations. A Quick Look Back Let’s take a quick look back at data processing, and then come back to the industry frontier. It started with data and the place to put it, which became the database. Then came a desire to understand the data…
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Cloud7 min Read

Experience teaches us that when loading data into a database, in whatever form ― normalized, denormalized, schema-less, hierarchical, key-value, document, etc ― the devil is always in the data load. For enterprise companies in the real-time economy, every second saved means improved efficiency, productivity, and profitability. Thankfully, SingleStore makes your enterprise data fast to load and easy to access. You can spin up a SingleStore cluster in minutes and load data very quickly using…
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Cloud5 min Read

Data growth and diversity has put new pressures on traditional data warehouses, resulting in a slew of new technology evaluations. The data warehouse landscape offers a variety of options, including popular cloud solutions that offer pay-as-you-go pricing in an easy-to-use and scale package. Here are some considerations to help you select the best cloud data warehouse. First, Identify Your Use Case A cloud data warehouse supports numerous use cases for a variety of business needs. Here are some…
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Data Warehouse2 min Read

In the Beginning Years ago, organizations used transactional databases to run analytics. Database administrators struggled to set up and maintain OLAP cubes or tune report queries. Monthly reporting cycles would slow or impact application performance because all the data was in one system. The introduction of custom hardware, appliance-based solutions helped mitigate these issues, and the resulting solutions were transactional databases with column store engines that were fast. Stemming from…
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Data Warehouse2 min Read

In the age of manual decision making based on predictable data formats, data feeds, and batch processing times, enterprise businesses stayed current with ad hoc analyses and periodic reports. To generate analyses and reports, businesses relied on the traditional data warehouse. Using extraction, transformation, and load batch processes, the traditional data warehouse standardized disparate data into normalized schemas and pre-computed cubes. With the data shaped into pre-configured dimensions…
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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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Data Warehouse1 min Read

The data warehouse as we know it has changed. Growth in data size and complexity, migration to the cloud, and the rise of real-time use cases are forces pushing enterprise organizations to expect more from their data warehouse. Evidence of this trend can be found in the latest Gartner Magic Quadrant Report , which has dropped data warehouse from its title and graduated to Data Management Solutions for Analytics. This change has resulted in an expansion of types of vendors covered, while also…
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Data Warehouse2 min Read

Last month, we announced that SingleStore received the highest score in the Gartner Critical Capabilities Report for the “Operational Data Warehouse Use Case”. While the findings Gartner shared are gratifying, this deserves a bit of a deeper dive. For starters, let’s examine how Gartner defines an Operational Data Warehouse: “This use case manages structured data that is loaded continuously in support of embedded analytics in applications, real-time data warehousing , and operational data…
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Data Warehouse1 min Read

Gartner has named SingleStore a Visionary in the Magic Quadrant for Data Warehouse and Management Solutions for Analytics ! This marks our debut in Gartner’s report for data warehouse solutions and our second showing on a Gartner Magic Quadrant report in the last six months. The report compares top Data Warehouse solutions, as well as highlights key strengths that distinguish SingleStore from legacy vendors. SingleStore Strengths include: Focus on supporting transactional and analytical use…
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