Switching from Java to Go? In this first part of the series, I share my journey transitioning from Java to Go, including key differences, challenges, and lessons learned. From implicit interfaces to error handling, multiple return values, and no function overloading—discover what makes Go unique and how to navigate the switch effectively. Whether you're considering Go or already making the move, this guide will help you adapt to Go’s simplicity and efficiency.
This blog explores how real-time data pipelines can cut fraud losses by 60%, reduce compliance costs by 50%, and drive multi-million dollar savings. Learn how fintech CTOs can leverage modern data architectures for sub-millisecond transaction processing, AI-driven risk management, and scalable infrastructure to future-proof their financial operations.
This blog explores how low-latency inference, hardware acceleration, and agile real-time data pipelines drive faster, smarter decision-making. Learn how Meroxa empowers organizations with seamless data ingestion, real-time analytics, and scalable infrastructure to bridge the gap between edge computing and actionable insights—unlocking the full potential of AI-driven innovation.
This blog explores how enterprises can leverage LLMs to extract instant value from continuous data streams and how conversational analytics is reshaping business intelligence. From financial services to retail, AI-powered data workflows are driving faster, smarter decisions—unlocking efficiency, scalability, and a strategic edge in a data-driven world.
As we mark the 3-year anniversary of Conduit Platform, we reflect on the incredible journey of innovation, scalability, and real-time data movement. Over the past three years, Conduit has transformed the way developers and data professionals build pipelines, enabling seamless data integration across diverse sources.
In this blog, we’ll look back at our biggest milestones, customer success stories, and the groundbreaking features that set Conduit apart. From powering real-time analytics to AI-driven data processing, Conduit has continued to push the boundaries of what’s possible in modern data infrastructure.
The latest Conduit 0.13 release brings significant upgrades, focusing on developer experience, automation, and performance optimization. Key highlights include automated documentation synchronization for connectors, a powerful new CLI for seamless pipeline and connector management, and 5x improvements in output processing speed, reducing latency and boosting efficiency. Notably, this version also deprecates the built-in UI, reinforcing Conduit’s commitment to a CLI-driven workflow. With expanded CLI capabilities and automated documentation tools, developers can now manage data pipelines more efficiently than ever. Upgrade today to leverage these new features and maximize your real-time data processing capabilities! 🚀
The Conduit 0.13 release introduces `connector.yaml`, a powerful automation tool that ensures connector documentation stays up to date with the latest configuration changes. By centralizing connector metadata—such as parameters, descriptions, and validation rules—developers can seamlessly sync documentation across repositories and the official Conduit docs. With the `conn-sdk-cli` tool, updating documentation is as simple as running a command, eliminating manual updates and reducing errors. This release enhances the developer experience, improves documentation consistency, and streamlines real-time data pipeline management. Start using `connector.yaml` today and automate your documentation workflow! 🚀
The Conduit 0.13 release introduces a powerful new CLI that simplifies real-time data pipeline management. With intuitive commands, developers can configure, monitor, and run pipelines directly from the terminal—eliminating complex API calls and manual configurations. Optimized for speed and efficiency, the CLI enhances deployment, troubleshooting, and high-throughput data streaming. Upgrade to Conduit 0.13 and streamline your data workflows today! Try it now with `$ conduit --help`. 🚀
No More Stale Models: Master Continuous MLOps with Meroxa & Databricks
Keep your machine learning models fresh and accurate with real-time, automated MLOps. This blog explores how Meroxa’s Conduit Platform and Databricks enable continuous model retraining**, eliminating stale predictions and manual updates. Learn how to streamline data movement, real-time feature engineering, and automated ML workflows for peak performance. Whether for fraud detection, predictive maintenance, or personalized AI, discover how to scale MLOps efficiently. Stay ahead with always-on machine learning—no more stale models!
At Meroxa, we’re empowering developers with Conduit OSS, a tool that simplifies real-time data engineering. With our latest release of new connectors, integrating with popular platforms is seamless, accelerating development and delivering real-time data insights. Here's a look at what's available now and what's coming next!
Discover how Meroxa revolutionized real-time data integration in 2024 with powerful new connectors, including Amazon DynamoDB, Snowflake, Apache Kafka, and more, enabling seamless data movement across diverse systems. This blog highlights key updates to the Conduit Platform, such as pipeline recovery features in Conduit v0.12.0 and schema registry support in Conduit Operator v0.0.2, designed to enhance resilience and simplify Kubernetes deployments. We also dive into a compelling case study featuring a global hotel network that leveraged Meroxa’s platform to integrate customer data, boosting guest satisfaction by 30% and increasing revenue per available room by 20%. Whether you're building robust data pipelines, enabling real-time analytics, or driving AI-powered transformations, explore how Meroxa’s latest advancements are unlocking new possibilities for developers and data teams.
Traditional data warehouses, long the cornerstone of analytics, are increasingly ill-equipped to meet the demands of today’s real-time, dynamic data needs. Enter the Lakehouse: an innovative architecture that blends the flexibility of data lakes with the robust querying capabilities of warehouses, seamlessly handling structured and unstructured data for real-time analytics. This blog explores the shortcomings of legacy systems, the transformative benefits of Lakehouses, and how Meroxa simplifies the journey with its intuitive tools, real-time data pipelines, and cloud-native scalability. From leveraging cutting-edge technologies like Apache Iceberg and Delta Lake to providing expert migration support, Meroxa empowers organizations to unlock faster, more flexible insights without the complexity or high costs of traditional solutions.
Discover how Meroxa's Conduit Platform AI empowers businesses to seamlessly integrate real-time data into Databricks for faster, smarter analytics. Learn how our platform reduces engineering effort by 60%, accelerates insights by 40%, and ensures 99.9% uptime with near-zero latency. From financial transactions to IoT data, this blog explores how Meroxa’s AI-driven pipelines simplify data movement, enabling you to unlock the full potential of Databricks for real-time decision-making.
In the rapidly evolving world of AI, businesses are discovering that the future lies not in massive, general-purpose language models (LLMs) but in tiny, specialized models powered by real-time data streams. These domain-specific models offer dramatic cost savings, enhanced accuracy, and reduced hallucinations by continuously learning from live business data. From customer support to financial services and supply chain management, tiny models excel in delivering precise, actionable insights tailored to specific operations. Powered by platforms like Meroxa, which enables robust real-time data infrastructure, this approach bridges the gap between AI capabilities and business needs, providing a sustainable, efficient path to enterprise AI innovation.
In this blog, discover how Meroxa empowers governments to overcome the challenges of IT modernization with real-time data integration, cost-effective solutions, and secure, scalable infrastructure. Learn how Meroxa helps transform aging systems into agile, efficient platforms that meet the growing demands of today’s tech-savvy constituents. Explore real-world success stories, actionable insights, and innovative strategies to deliver better services, reduce costs, and improve transparency—without sacrificing security or control. Whether you're managing federal programs, state services, or local initiatives, Meroxa enables you to reimagine government operations at the speed of innovation.
Our latest article highlights why Meroxa’s Conduit Platform is the game-changing solution for real-time data streaming, offering up to 90% faster data delivery and 80% lower latency compared to batch-based tools like Fivetran.
The Hotels Network (THN) partnered with Meroxa to streamline data flow between their sales and support teams, overcoming siloed data and complex architecture challenges. Using Meroxa’s Conduit Platform, THN achieved a unified, real-time pipeline from Salesforce to Redpanda, reducing operational costs by 30% and enhancing customer support capabilities. The solution’s scalability ensures THN can continue to grow and optimize operations seamlessly.
ClickHouse has established itself as a prominent database for analytical applications due to its technical advantages over competitors like Druid, Pinot, and StarRocks.
