SyncLite
BUILD ANYTHING SYNC ANYWHERE
OPEN-SOURCE Real-Time LOW-Code SECURE Scalable Fault-Tolerant Extensible EXactly once semantics No VENDOR LOCK-IN
STreaming appications FOR last mile data integrations
Data Streaming Challanges
Data streaming presents a critical challenge for enterprises today. Despite the abundance of excellent data tools on the market, many are specialized point solutions that place the burden of building comprehensive data integrations on data engineers. This approach frequently leads to intricate and inefficient last-mile integrations. Let's examine some of these tools and highlight how they often fall short in delivering seamless end-to-end data integration:
Apache Kafka is a distributed event streaming platform capable of handling a large number of events, it provides a producer endpoint and a consumer endpoint but leaves developers to implement the last mile of data integration. Additionally, managing a Kafka cluster can be complex and resource intensive.
AWS Kinesis is a platform on AWS to collect, process, and analyze real-time, streaming data. It is an excellent tool for data ingestion and initial processing but requires custom solutions to deliver data to final storage destinations. Additionally, Kinesis ties you to the AWS ecosystem and posing a risk of vendor lock-in.
Apache Flink and Pulsar are some other examples. This class of tools provide excellent capabilities for handling data streams but often leave the last-mile data integration to developers. This means consuming events from these tools and writing them efficiently and scalably into the final destination systems becomes a complex task involving custom connectors and intricate data integration workflows.
SyncLite: Zero Code Last Mile Data Integrations
SyncLite addresses this challenge by offering a secure, scalable, zero-code, last-mile data integration solution providing exactly-once delivery semantics. It provides an integrated ability to deliver data produced by numerous applications into final destination databases, data warehouses, or data lakes without requiring any custom connectors. SyncLite makes data integration simple and efficient, eliminating the complexities involved in traditional data integration methods.
SyncLite Components
SyncLite Logger: A single Java library that allows user applications to perform data ingestion at massive scales concurrently using Kafka API or SQL API. SyncLite Logger captures these ingestions and writes them into log files.
Staging Storage: The log files created by SyncLite Logger are continuously staged on configurable staging storage solutions like S3, MinIO, Kafka, SFTP, etc.
SyncLite Consolidator: A Java application that continuously scans these log files from the configured staging storage, reads incoming event logs, and applies them onto one or more configured destination databases. This ensures that data is efficiently and scalably integrated into a wide range of final destination databases, data warehouses and data lakes including all the industry leading databases. It includes many advanced features such as table/column/value filtering and mapping, trigger installation, fine-tunable writes, support for multiple destinations etc.
Getting Started with SyncLite
Ready to simplify your data integration workflows? Here’s how you can get started with SyncLite:
SyncLite Logger: Refer to our GitHub repository for SyncLite Logger and code samples.
SyncLite Consolidator: Check out our DockerHub repository for the SyncLite Consolidator.
SyncLite offers a robust, scalable, and efficient solution for real-time data streaming to deliver last-mile data integration, making it the ideal choice for modern enterprises looking to streamline their data management processes.