May 2015 Summaries

To build a high performance data processing system, it is essential to account for the size and flow of data, identifying bottlenecks in computational tasks and focusing on optimizing these areas. Characterizing the system using key factors such as working set size, average transaction size, request size, update rate, consistency, locality, computation, and latency can help pinpoint dominant operations responsible for data congestion. By understanding these characteristics and creatively adjusting constraints to see how they impact the system, developers can identify fundamental bottlenecks and develop strategies to address them, ultimately building a low-latency system that scales over time.

SingleStoreDB Self-Managed 4 represents a significant leap in relational database innovation with its new capabilities such as real-time geospatial intelligence and high-throughput connectivity to Apache Spark. The Community Edition offers unlimited scale and capacity for free forever, while the company's strategy is to build a scalable software business running on various platforms, including public and private clouds, without proprietary hardware constraints. SingleStore aims to deliver performance that surpasses legacy vendors at a fraction of the cost, providing deployment choice across hardware, data centers, and clouds, with the goal of helping companies become real-time enterprises by leveraging its relational, in-memory, distributed database capabilities.

We started SingleStore with a vision to enable every company to be a real-time enterprise by delivering the leading real-time database for transactions and analytics. The forces shaping our digital economy have added wind to our sails, driving growth in mobile, interconnected, interactive technologies and industry transformations like the Internet of Things. Real-time processing is crucial, and in-memory solutions are key, but existing options were too expensive or complex for companies to adopt. SingleStoreDB Self-Managed 4 and its new Community Edition offer a free, unlimited capacity, and scale solution that includes all transactional and analytical features, sharing capabilities with the world for free, allowing developers and companies to explore in-memory computing possibilities. The Community Edition is distributed as an executable binary, is free forever, and is a free edition of the commercial SingleStore Enterprise Edition, offering support through public documentation, StackOverflow community engagement, and real-time chat during California business hours. `</|im_start|>

We are excited to attend ad:tech San Francisco next week and showcase SingleStore's capabilities in real-time data pipelines and geospatial intelligence, including a demo with Pinterest and Supercar. We will be demonstrating overlap ad targeting, which allows you to better understand your audience and serve ads with greater relevance, by combining and intersecting user attributes. You can learn more about this capability through our technical blog post and meet with us at the event to schedule an in-person meeting or demo. Additionally, we will have games and giveaways, including a free t-shirt and a chance to win an Estes ProtoX Mini Drone. We also invite you to attend one of our suggested sessions on creative addressability at scale and wearable technology.

Tech Field Day is hosting an evening reception in San Francisco on May 13th, focusing on data and featuring industry participants and expert delegates. The event includes a welcome reception, ignite presentations, and networking opportunities. It will take place at 534 4th St, San Francisco, and attendees are encouraged to RSVP for the free event. The event aims to discuss innovation in IT, particularly around big data, analytics, hyperscale architecture, and cloud security, as well as new stack companies and technologies. The reception will include food, drinks, and engaging conversation about all things data. Delegates from Tech Field Day will be present, including experts with focus on virtualization, database management, Windows, and more.