In today’s fast-paced business environment, organizations often find themselves managing multiple departments and teams that utilize various databases. Over time, the need to share data across these disparate systems, either in real-time or incrementally, becomes increasingly critical. This data sharing often extends to central data warehouses, reflecting a common pattern observed in modern enterprises.
In addition to traditional databases, there’s a growing demand for applications tailored to edge, mobile, and desktop use cases. These applications require a forward-thinking approach to data integration during the design phase to ensure seamless functionality and scalability.
Complicating matters further, many sub-systems and departments within organizations generate raw data that needs to be harmonized and integrated continuously. This ongoing process aims to consolidate this data seamlessly into existing database and data warehouse systems, creating a unified data ecosystem.
While a plethora of point-to-point data tools flood the market, data teams often struggle to implement straightforward, scalable, and efficient data integration solutions. Developers frequently resort to constructing complex architectures by piecing together various streaming protocols, real-time APIs, and connectors. This fragmented approach not only complicates the technology stack but also introduces multiple points of failure, hindering efficiency and accuracy.
SyncLite : Your Holistic Data Integration Platform
SyncLite emerges as a game-changing solution designed to tackle these challenges head-on. Our Real-Time Data Consolidation platform excels at aggregating data from a diverse range of sources, including edge devices, mobile applications, desktop software, IoT devices, message brokers, and traditional databases, while enabling AI and ML use-cases at all three levels: Edge, Fog and Cloud. By seamlessly consolidating this data, SyncLite facilitates integration into an extensive array of databases, data warehouses, and data lakes.
SyncLite's Comprehensive Toolkit
SyncLite EdgeDB enables developers to quickly build
sync-ready, robust, responsive, high-performance, low-latency, data intensive transactional applications for edge/mobile/desktop platforms, enabling real-time data consolidation into a diverse range of databases, data warehouses or data lakes.
massive scale data streaming solutions while offering ability to perform real-time analytics and AI at the producer end (edge and fog) of the pipelines.
SyncLite DBReader enables data teams and data engineers effortlessly configure and orchestrate many-to-many, highly scalable database replication/migration/ETL jobs across a diverse array of databases, data warehouses and data lakes.
SyncLite FileReader enables data teams and data engineers effortlessly channelize raw data files in various formats into modern databases and data warehouses.
SyncLite QReader enables IoT developers integrate vast amounts of data published to message queue brokers, into a diverse array of databases, data warehouses and data lakes, enabling real-time analytics and AI use cases at all three levels: edge, fog and cloud.
SyncLite Consolidator is the centralized application to all the reader/producer tools mentioned above, which receives and consolidates the incoming data streams into one or more databases, data warehouses and data lakes of user’s choice.
SyncLite JobMonitor enables managing, scheduling and monitoring all the SyncLite jobs created on a given host.
SyncLite Client is a command line tool to directly operate on your devices, execute SQL queries and workloads on them via SyncLite Logger which captures all write operations, making them available for data consolidation.
This 4-minute video summarizes the SyncLite Real-Time Data Consolidation Platform.