This 4-minute video summarizes the SyncLite Real-Time Data Consolidation Platform. 

In this video, we'll guide you through a SyncLite platform release and showcase how data consolidation works. We'll be using SyncLite devices created by a sample application running on the same host for demonstration. 

This 3-minute video summarizes the technology powering SyncLite platform and highlights some interesting use cases. 

In this demonstration video, we showcase a customer case study that involves collaborative effort between ChiStats and SyncLite, showcasing a comprehensive end-to-end data pipeline designed for handling financial market data. This pipeline covers critical aspects such as data acquisition, management, real-time analytics, data consolidation, archival, and predictive analytics.  More details about this pipeline: Diving into the Ocean of Big Data - ChiStats’s Substack 

SyncLite EdgeDB, an innovative lightweight JDBC API coupled with an embedded application database, empowers edge applications with robust data management capabilities, enabling high-throughput transactional SQL reads and writes directly on native databases. Not only does SyncLite EdgeDB facilitate in-app edge analytics, but it also seamlessly consolidates this data, readying it for instant real-time analytics and AI across multiple destinations.

SyncLite EdgeDB, seamlessly integrated into edge applications, diligently captures transactional activity by logging it into files. These logs are then redirected to a customizable centralized staging storage. Leveraging SyncLite Consolidator, deployed on a cloud VM or centralized host, all transaction logs are meticulously processed and replayed onto the user's chosen cloud-hosted database, data warehouse, or data lake—with support for a wide range of options.

The SyncLite DBReader along with SyncLite consolidator, with a decoupled architecture, provides a flexibility to orchestrate highly flexible and scalable many-to-many database migration and incremental replication pipelines with support for schema change replication. While SyncLite DBReader provides an ability to select or block tables/columns for publishing, specify incremental key columns, delete conditions, the SyncLite consolidator offers a robust Replication mode, and the flexibility to define data type mappings from source to destination databases. Users can specify table and column filtering, mapping rules, apply value mappings, and explore additional configurations for establishing and fine-tuning data replication pipelines. 

SyncLite's pluggable IoT data connector enables rapid development of IoT applications, reading data at massive scales from MQTT brokers through your IoT gateways and seamlessly consolidate it onto one or more databases, data warehouses, or data lakes of your choice. This allows you to focus on solving your core challenges without the hassle of intricate data management. 

Explore the seamless database replication capabilities of SyncLite! Watch our demo video showcasing a real-time database replication pipeline from an on-prem DB2 to a cloud hosted ClickHouse database.  

Explore the seamless database replication capabilities of SyncLite! Watch our demo video showcasing a real-time database replication pipeline from an a MongoDB database to a FerretDB database.  

SyncLite platform excels at performing real-time data consolidation from a myriad of sources including edge devices, mobile apps, desktop software, IoT devices, message brokers, and traditional databases. It empowers seamless integration into diverse databases, data warehouses, and data lakes, enhancing data accessibility and insights.

SyncLite continues to introduce new data integration options, the latest additions being the major Azure data offerings including Azure SQLDB, PostgreSQL, MySQL, CosmosDB, SQL DW and Azure event hubs, enabling them for real-time consumption into Microsoft Fabric and PowerBI.   

In this demonstration video, we showcase SyncLite platform's capability to seamlessly establish a Disaster Recovery enabled solution, that combines operational and analytical functionalities. This setup involves multiple SQLite databases managing operational workloads for user applications, while one or more DuckDB databases handle analytical queries, with SyncLite doing a real-time data consolidation from SQLite databases to DuckDB databases. Moreover, the SyncLite consolidator ensures the continuous availability of live replicas for the SQLite databases.