Trino! The Universal Analytics Query Engine With Trino’s ability to query object storage and block storage simultaneously, data scientists are enjoying unprecedented freedom to engineer AI-based analytics to harvest rich insights and intelligence from data lakes. Additionally, now that streaming apps like Apache Pulsar support querying live event streamed data, access to all data everywhere […]

The Evolution of Distributed Messaging: From Point-to-Point to ML and AI Integration As the number of messages and computers that communicate in real-time grew exponentially, the systems needed to become more reliable, scalable, and persistent. The result – distributed messaging evolution is among the fastest ones in the world of technology. Ever since the idea […]

Why a Managed Service Might Make Sense for your Distributed Messaging Instant and distributed messaging is taking the world by storm. Like with social media apps, more and more companies are using distributed messaging solutions to streamline their communications. Messaging apps like Viber, WeChat, Facebook Messenger, and WhatsApp have already gathered more than 6 billion […]

Why ML Initiatives Fail in IoT The Internet of Things (IoT) is a concept of a computing network of physical objects (“things”) that are able to interact with each other or their environment. In general, it’s a group of physical equipment (sensors, actuators, devices, etc.) connected to a gateway directly or with negotiation via special […]

Why Multi-Tenancy Is a Powerful Differentiator for Pulsar as Compared to Kafka There’s an ongoing discussion in the data world about whether Pulsar or Kafka is the better option. Yes, both of these options have their advantages, and it’s difficult to make generalizations when every enterprise has unique use cases. However, multi-tenancy is increasingly becoming […]