SyncLite
BUILD ANYTHING SYNC ANYWHERE
Real-Time No-Code SECURE RELATIONAL Scalable Fault-Tolerant Extensible EXactly once semantics No VENDOR LOCK-IN
SYNC READY APPS DATABASE REPLICATION IOT LAST MILE DATA INTEGRATIONS Edge-FOG-CLOUD AI-ML
200+ Data Integration Options 100+ Data Pipelines in Production 100+ Downloads ∞ Data Architecture Possibilities
UNLOCKING SEAMLESS DATA INTEGRATIONS WITH SYNCLITE
Simplify Your Data Landscape: Say goodbye to the complexity of streaming protocols, real-time APIs, queuing systems, ETL connectors, and web services. With SyncLite, effortlessly construct scalable, secure, precise and diverse data pipelines, all without the need for coding! Streamline your journey towards efficiency and innovation with SyncLite.
BUILD ROBUST, HIGH-PERFORMANCE, CLOUD-SYNC-READY APPLICATIONS
SyncLite EdgeDB, also referred to as SyncLite Logger — a lightweight embedded application database enabled with a SQL (over JDBC) API and Kafka Producer API. This cutting-edge solution 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 a diverse range of database, data warehouses and data lakes.
EFFORTLESS DATABASE REPLICATION WITH SYNCLITE
Experience the ease of flexible, scalable, and schema-aware database replication, migrations and ETL solutions with SyncLite. Orchestrate many-to-many database replication/ETL pipelines effortlessly, manage data with precision, and redefine your replication experience - all without any coding and any configuration changes required on the source database.
STREAMLINE IOT TO CLOUD DATA INTEGRATION WITH ZERO CODING
Unlock rapid IoT application development with SyncLite's pluggable IoT data connector. Seamlessly read massive-scale data from MQTT brokers via your gateways, consolidating it effortlessly into your preferred databases, data warehouses, or data lakes. Simplify your workflow and focus on core challenges without complex data integrations
