Synerise Team

http://Synerise.com

Optimizing Streaming with Terrarium: Techniques and Insights

Terrarium’s streaming engine was redesigned to handle SQL queries across 2,160+ workers. By cutting redundant streams, improving chunking, and optimizing memory, the system reduced overhead and boosted throughput—turning theory into real-world performance gains.

Enhancing Streaming and Request Handling Efficiency with gRPC and Coroutines: Part 4

In this article, we dive into how a gateway can handle complex SQL queries by streaming results in manageable chunks instead of trying to load gigabytes of data at once. What I really like here is the transition from a blocking, synchronous model to an asynchronous coroutine-based approach.

Synerise Releases Latest Version of BaseModel.ai on Snowflake Marketplace

Synerise has launched the latest version of BaseModel.ai, a tool designed to work with behavioral data, now available on Snowflake Marketplace. This collaboration enables users to access advanced behavioral modeling, delivering personalized customer experiences through precise predictions.

The Evolution of the RecSys Challenge

🚀 Introduction Recommender systems have undergone significant evolution since their inception, gaining momentum after the landmark research paper published in 1994. The first research paper on recommender systems was published by Resnick, Iacovou, Suchak, Bergstrom, and Riedl. This field has expanded considerably over the years, driven by key challenges and competitions

Enhancing Streaming and Request Handling Efficiency with gRPC and Coroutines: Part 3

Overview In previous articles, we primarily focused on the gateway side, where we handle requests from OQS and fetch the necessary data from workers. The gateway operates as both a client and a server. To manage the heavy workload of handling 2,160 workers with only 64 threads, we use

Enhancing Streaming and Request Handling Efficiency with gRPC and Coroutines: Part 2

Explore how to handle thousands of workers (2,160 and growing) using gRPC, coroutines, and asynchronous communication.

Synerise Introduces Cleora.ai 2.0: Redefining Entity Representation Learning

Synerise is thrilled to announce the release of Cleora.ai 2.0, the latest version of our cutting-edge, open-source solution for scalable and efficient entity representation learning.

Enhancing Streaming and Request Handling Efficiency with gRPC and Coroutines: Part 1

In this article, we dive deep into the technical challenges and solutions behind building a gateway server capable of handling millions of requests per minute.

AI for good: Cleora.AI created by Synerise in Biomedical Sciences.

Artificial Intelligence for drug development in medicine is very hot topic nowadays - which definitely will revolutionize this market segment in the next few years. How can we support this transformation by open sourcing top-notch AI solution which we created in Synerise? "Drug companies look to AI to end

Enhanced node synchronization with Binlogs for reliable data handling

In the TerrariumDB, we have three types of nodes: Agent, Gateway (we named it ScorpIO), and Controller: * A Controller is responsible for the configuration of Agent nodes and Gateway and handles transactions, * An Agent is responsible for managing data storage and executing crucial compute operations for optimal performance * ScorpIO is