GridGain Blog
Learn what a Data Integration Hub is and how it enables real-time, low-latency access to enterprise data across systems for faster analytics and AI.
Whether you're building a high-frequency trading platform, a real-time fraud detection system, a personalized e-commerce experience, or any other high-speed data service, GridGain on GKE provides the foundation for success. Embrace this powerful combination to unleash the full potential of your applications in the ever-evolving world of data and technology!
In this piece, we’ll explore four ways to create unique keys you can use in your application. Each has different strengths and weaknesses, and all are valid approaches that we’ve seen with various clients.
We hosted a rich technical conversation around the data challenges faced by Fintechs on our recent webinar, “Architecting Your Data Ecosystem for Real-Time Analytics: Best Practices for Fintechs.” This included many great questions from our audience during the Q&A.
Nearly every data solution today claims to deliver low-latency response times – and they probably do, but for what level of scale? And what happens when these solutions have to interact with others that are part of the data pipelines? If these low-latency solutions cannot maintain performance across silos and boundaries in the data ecosystem, then the overall value to enterprises is still…
The scope of relevant information for today’s data-driven enterprises extends beyond the boundaries of their firewalls. This has created complex problems, including the multidimensional nature of the data to be processed, the enormous scale of data and the tremendous speed at which the data must be processed.
The two largest sources of latency in any distributed system are network latency and disk access. In traditional client server applications, data is constantly moved over the network, and it's usually accessed from disk. To reduce latency, Apache Ignite allows distributed in-memory data and computation as well as a transactional SQL environment – including the ability to control the location of…
GridGain now offers advanced JSON query capabilities that not only empower technical teams but also provide tangible business benefits. By seamlessly integrating technical features with compelling business advantages, GridGain helps enterprises derive valuable insights from their data as soon as it’s generated.
In the second part of this blog series, we'll explore how to overcome the limitations of standard query processing by writing some code. As a result, you will likely only use this technique in those instances where you know you are experiencing the set of limitations and need to get the most optimal result times.
In this two-part blog post, we will first explore and understand the major steps that are executed by GridGain’s SQL query processing engine. More importantly, we will share how data is exchanged in the above process and learn about certain limitations that exist within this process.
After learning the basics in part one, we will then explore how to overcome those limitations in part two by…