real-time4 min Read

Business is about serving the needs of customers. But customer expectations are changing quickly, and most organizations are not truly awar…
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Case Study4 min Read

Medaxion has found a solution to the analytics problems that plague companies across the health care sector and beyond. John Toups, CTO of Medaxion, puts it plainly. “By combining the ease of presentation and abstraction of Looker for analytics, with the technical prowess of SingleStore as the database behind Looker, we now have simply the best analytics in healthcare.” Medaxion has changed the working lives of anesthesiologists, its core customers. These highly skilled professionals must…
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queries2 min Read

Today is the one-year anniversary of SingleStore Studio and sees the release of SingleStore Studio 1.8.1. To celebrate, we have put together a brief summary of where we’ve taken SingleStore Studio in its first year, a few thoughts on how we will extend the product going forward, and an invitation to you to contribute your feedback. Just over a year ago , we launched the first release, SingleStore Studio 1.0.1. While the release notes detail everything that’s happened since, we want to reflect…
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Financial Services3 min Read

A new report from RT Insights describes the benefits of real-time transaction processing in banking and financial services and shows how traditional database architectures interfere with real-time data movement. In order to get the benefits of real-time transaction processing, such as improved portfolio management, fast credit card fraud and acceptance checks, and others, banks and other financial services institutions need to use a translytical database, combining the best of transaction and…
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Artificial Intelligence4 min Read

The most important new skills for business leaders are not what you might think. You’ve read the headlines. Data is the new oil ; it’s the new currency ; data capital can create competitive advantage . We also hear, over and over again, that machine learning (ML) and artificial intelligence (AI) are the future . Few will dispute that these things are true, but the trite language masks a deeper challenge. Data must be collected, analyzed, and acted upon in the right way and at the right time…
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Analytics7 min Read

This case study was first published as a video with a brief description. Noah Zucker, Senior Vice President for Technology at Novus Partners , talks about how they use SingleStore for portfolio intelligence, applied to their $2 trillion – yes, two trillion dollars – in assets under management. The case study has proven popular, and the content is still highly relevant today, so we’re releasing a transcript of the content as a blog post. I’m here today to talk about Novus Partners and how we…
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Analytics3 min Read

With a real-time dashboard, you can stop problems before they start and seize opportunities that your competition is not aware of yet. SingleStore is a tool uniquely capable of powering real-time dashboards. In this blog post, we give some high points – but to get all the details, you should view our recorded webinar and download the PowerPoint slides here . A doctor can get a good idea of your health just by shining a light in your eyes and seeing if they’re clear or cloudy. Similarly, a…
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CDC4 min Read

Data is driving innovative customer experiences, operation optimization, and new revenue streams. Data infrastructure teams are being asked to update their legacy infrastructure to respond to changing business conditions without disrupting existing operations. The future of data management is modernizing legacy systems using real-time data synchronization with modern databases that can accelerate innovation without impacting existing applications. The Challenge of Legacy Systems A constant…
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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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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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Case Study1 min Read

At Strata Data Conference in September, David Mellor, VP and Chief Architect at Curriculum Associates, showed how the company creates real-time feedback loops for students and educators. David covered how to build a real-time application with SingleStore, and how his team architected a combination of data workflows for actively updating data, such as student activity through online lessons and diagnostics. One workflow relies on in-memory processing to serve responses in under 200 milliseconds…
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Amazon3 min Read

Amazon will finish an exciting year by bringing together thousands of people to connect, collaborate, and learn at AWS re:Invent from November 27 – December 1 in Las Vegas. Whether you are a cloud beginner or an experienced user, you will learn something new at AWS re:Invent. This event is designed to educate attendees about the AWS platform, and help develop the skills to design, deploy, and operate infrastructure and applications. SingleStore is exhibiting in the Venetian Sands Expo Hall, so…
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Artificial Intelligence6 min Read

The SingleStore maturity framework for data warehousing in the age of artificial intelligence depicts the journey of digital transformation. Consisting of three epics and seven maturation stages that symbolize increasing strategic value, the framework outlines the transformation from descriptive analytics to predictive analytics to prescriptive analytics for modern organizations and enterprises. In this blog post, we characterize each epic and corresponding stages of maturation in detail. Data…
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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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public sector2 min Read

Data today moves in extremely large volumes at light speed all while requiring high levels of protection on the content. Traditional database and data warehouse technologies are unable to handle these workloads without the need for expensive hardware appliances. The NoSQL and Hadoop-based systems are very complex and unable to support real-time analysis. A new way to process fast-moving, structured content is needed to achieve this level of scale and security. Why not a highly secure and extreme…
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Analytics4 min Read

Within 48 hours of launching Google Analytics as a free product, virtually all of Google’s servers crashed. Eric Schmidt called this Google’s “most successful disaster.” Why would a free product, whose hardware requirements melted down a datacenter, be worth it? Wesley Chan, the creator of Google Analytics, later said that, “Google Analytics generates about three billion dollars in extra revenue,” as noted in Steven Levy’s book, In The Plex . Google Analytics allowed Google’s customers to…
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Artificial Intelligence3 min Read

SingleStore is a real-time data warehouse and a perfect system for large scale operational analytics. SingleStore provides millisecond response times for analytical queries and is a part of the critical path for real-time applications. We often hear from our customers that they want to do various types of artificial intelligence (AI) and machine learning (ML) model evaluations for IoT data, as well as imagery, in real time. A good example of this is when you need to find similar images in a…
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Cloud4 min Read

As companies move to the cloud, the ability to span on-premises and cloud deployments remains a critical enterprise enabler. In this post, we’ll review the basics of a hybrid cloud model for SingleStore deployments to fit conventional and future needs. SingleStore Background SingleStore is a real-time data warehouse optimized for hybrid cloud deployments, and excels at operational use cases. SingleStore users are drawn to the ability to load and persist live data at petabyte scale while…
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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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Analytics3 min Read

The Analytics Race Amongst The World’s Most Valuable Companies Data is fueling the world’s most valuable companies. Today the list is topped by Apple, Google, Microsoft, Amazon, and Facebook. These top companies harness data to drive outsized value. While the companies are unique, they share a more common approach to analytics than you might expect. The Rapid Rise of Data Capture for Analytics In a short span, entire industries have been born that didn’t exist previously. Each of these areas is…
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Case Study1 min Read

We’ve created an updated version of this blog post with much more detail. – Editor At Strata+Hadoop World, James Burkhart, technical lead on real-time data infrastructure at Uber, shared how Uber supports millions of analytical queries daily across real-time data with Apollo, Uber’s internal analytics querying language. James covers architectural decisions and lessons learned from building an exactly-once ingest pipeline that captures raw events across in-memory row storage and on-disk…
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Analytics3 min Read

The tracking and targeting of our online lives is no secret. Once we browse to a pair of shoes on a website, we are reminded about them in a retargeting campaign. Lesser known efforts happen behind the scenes to accumulate data and scan through it in realtime, delivering the perfect personalized campaign. Specificity and speed are converging to deliver nano-marketing. If you are a business leader, you’ll want to stay versed in these latest approaches. If not, as a consumer, you’ll likely want to…
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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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Events5 min Read

How can big data and machine learning be used for good? Updated Dec. 12, 2019, including adding a transcript. This blog post discusses the use of SingleStore as a database for machine learning and artificial intelligence. See our recent Thorn case study for the latest on SingleStore’s work with Thorn, including Thorn’s use of SingleStore Managed Service. In our keynote at Strata+Hadoop World, SingleStore CEO Eric Frenkiel shared how we are working with Thorn to provide a new approach to…
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Case Study3 min Read

This post originally appeared on the Myntra Engineering Blog . Learn how Myntra gained real-time insights on rapidly growing data using their new processing and reporting framework. Background I got an opportunity to work extensively with big data and analytics in Myntra. Data Driven Intelligence is one of the core values at Myntra, so crunching and processing data and reporting meaningful insights for the company is of utmost importance. Every day, millions of users visit Myntra on our app or…
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real-time2 min Read

3x Spend Increase “Between 2016 and 2019, spending on real-time analytics will grow three times faster than spending on non-real-time analytics.” Every organization uses some form of analytics to monitor and improve their business. The growth of data has increased the impact of analytics and is a critical ingredient for delivering a successful digital business strategy. Companies are using more real-time analytics, because of the pressure to increase the speed and accuracy of business processes…
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In Memory Database1 min Read

Adoption of in-memory technology solutions is happening faster than ever. This stems from a three pronged demand – first, a greater number of users, analysts, and businesses need access to data. Second, the number of transactions is increasing globally, so companies need faster ingest and analytics engines. Finally, performance inconsistencies are the nail in the coffin for companies competing in the on-demand economy – these enterprises need the responsiveness in-memory technology provides. In…
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real-time2 min Read

In some industries, a hesitance remains in recognizing the commodification forces of real-time solutions. These industries often rely on orthodox tenets as barriers to marketplace entry, such as regulatory compliance, traditional value propositions, brand recognition, and market penetration. The term “ripe for disruption” often characterizes these industries and their respective leaders. Arguably, an illustrative industry in the midst of responding to commodification, adapting to real-time…
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Engineering5 min Read

Data movement remains a perennial obstacle in systems design. Many talented architects and engineers spend significant amounts of time working on data movement, often in the form of batch Extract, Transform, and Load (ETL). In general, batch ETL is the process everyone loves to hate, or put another way, I’ve never met an engineer happy with their batch ETL setup. In this post, we’ll look at the shift from batch to real time, the new topologies required to keep up with data flows, and the…
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Case Study1 min Read

Smart gas and electric meters produce huge volumes of data. A small SingleStore cluster of 5 nodes easily handles massive quantities of data like the workloads from leading gas and electric utility enterprises. In one particular use case, over 200,000 meter readings per second load into the SingleStore database while users simultaneously process queries against that data. Millions of meters sending between 10 and 30 sensor readings every hour leading to billions of rows of data. Just an initial…
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