Canonical: https://molo17.com/integrations/ Markdown mirror: https://molo17.com/integrations/index.md Title: Gluesync integrations — real-time CDC agents · MOLO17 Description: Build real-time data pipelines across 59+ databases, cloud warehouses, event streaming platforms and file systems with Gluesync agents. Gluesync integrations # Pick two systems. We’ll keep them in sync. Build real-time data flows across 59+ databases, cloud platforms, event streams, and file systems — with specialized agents and no batch windows. [Build a pipeline](#integration-finder) [Request an integration](/contacts/?topic=new-connector-availability) **59+** available integrations **<1s**data latency **60s**no-code setup ● ● ●PIPELINE / LIVESYNCING SOURCE AGENT**PostgreSQL**Log-based CDC CDC EVENTS24,817 / sec AES-25612ms latency TARGET AGENT**Snowflake**Cloud warehouse target 10:17:04.012 transaction 9F2A committed 10:17:04.024 target acknowledged **+12ms** 10:17:04.025 checkpoint advanced Integration finder ## Build your data route. Choose a source and a target. We’ll show the route as you build it. 01 / Source **Choose a source** Where data starts CORE HUB **Gluesync** orchestrates + secures 02 / Target **Choose a target** Where data goes Route ready Run this source-to-target route in your own environment. [Try out this pipeline](/get-gluesync/) 01 Sources 02 Targets AllRDBMSNoSQLCloudStreamingFiles **Amazon Aurora MySQL** Log-based CDC · MySQL agent SRC + TGT **Amazon Aurora PostgreSQL** Log-based CDC · PostgreSQL agent SRC + TGT **Amazon RDS for MariaDB** Log-based CDC · MariaDB agent SRC + TGT **Amazon RDS for MySQL** Log-based CDC · MySQL agent SRC + TGT **Amazon RDS for Oracle** Log-based CDC · Oracle agent SRC + TGT **Amazon RDS for PostgreSQL** Log-based CDC · PostgreSQL agent SRC + TGT **Amazon RDS for SQL Server** Log-based CDC · MS SQL Server agent SRC + TGT **Azure SQL** Log-based CDC · MS SQL Server agent SRC + TGT **CockroachDB** Distributed SQL target TARGET **Google Cloud SQL MySQL** Log-based CDC · MySQL agent SRC + TGT **Google Cloud SQL PostgreSQL** Log-based CDC · PostgreSQL agent SRC + TGT **IBM Db2 for IBM i (AS/400)** Journal and log-based CDC · IBM Db2 agent SRC + TGT **IBM Db2 for LUW** Journal and log-based CDC · IBM Db2 agent SRC + TGT **Informix** Native change-stream CDC SRC + TGT **MariaDB** Log-based CDC SRC + TGT **Microsoft Azure Database for MySQL** Log-based CDC · MySQL agent SRC + TGT **Microsoft Azure Database for PostgreSQL** Log-based CDC · PostgreSQL agent SRC + TGT **Microsoft Azure SQL Database** Log-based CDC · MS SQL Server agent SRC + TGT **Microsoft Azure SQL Server** Log-based CDC · MS SQL Server agent SRC + TGT **Microsoft Azure Synapse Analytics** Log-based CDC · MS SQL Server agent SRC + TGT **MS SQL Server** Log-based CDC SRC + TGT **MySQL** Log-based CDC SRC + TGT **Oracle Autonomous Data Warehouse** Log-based CDC · Oracle agent SRC + TGT **Oracle Autonomous Database** Log-based CDC · Oracle agent SRC + TGT **Oracle Cloud MySQL Instance** Log-based CDC · MySQL agent SRC + TGT **Oracle Database** Log-based CDC · Oracle agent SRC + TGT **PostgreSQL** Log-based CDC SRC + TGT **SAP (Sybase) ASE** Trigger-based CDC SRC + TGT **SAP HANA** Shadow-table CDC SRC + TGT **SingleStore** Real-time analytics target TARGET **YugabyteDB** Distributed SQL CDC SRC + TGT **Aerospike** CDC via ESP and XDR messaging SRC + TGT **Amazon DynamoDB** CDC via DynamoDB Streams SRC + TGT **Azure Cosmos DB** CDC via the change feed SRC + TGT **Cassandra** Wide-column target TARGET **Couchbase** CDC via the Eventing service SRC + TGT **GridGain** In-memory data grid target TARGET **MongoDB** CDC via change streams SRC + TGT **RavenDB** Document store target TARGET **Redis** Real-time cache target TARGET **ScyllaDB** Wide-column CDC and target SRC + TGT **Amazon RedShift** Cloud warehouse target TARGET **Google BigQuery** Cloud analytics target TARGET **Snowflake** Cloud warehouse target TARGET **Vertica** Analytical database target TARGET **Apache Kafka** Event stream target TARGET **Google Pub/Sub** Managed event streaming target TARGET **Solace PubSub+** Enterprise event mesh target TARGET **Apache Parquet** File and object store target · Universal file store agent TARGET **AWS S3 & S3-like** Object storage target · AWS S3 agent TARGET **Azure Data Lake Storage Gen2** Cloud data lake target · Azure Data Lake agent TARGET **CSV** File and object store target · Universal file store agent TARGET **FTP/FTPS** File and object store target · Universal file store agent TARGET **Google Cloud Storage** Object storage target TARGET **JSON** File and object store target · Universal file store agent TARGET **NFS** File and object store target · Universal file store agent TARGET **SFTP** File and object store target · Universal file store agent TARGET **SMB/CIFS** File and object store target · Universal file store agent TARGET **WebDAV** File and object store target · Universal file store agent TARGET Agent-based architecture ## One Core Hub. Any data topology. Each connector is optimized for its system. The Core Hub coordinates every route without coupling your integrations together. 01 ### Mix anything Pair source and target agents to create the exact pipeline your architecture needs. FLEXIBILITY / UNLOCKED 02 ### Scale independently Add agents as your ecosystem grows without rebuilding or interrupting existing routes. SCALABILITY / HORIZONTAL 03 ### Contain failures Isolated agent operation keeps a problem on one connection from spreading to others. RESILIENCE / BY DESIGN 04 ### Control centrally Operate integrations from one web interface with live KPIs, metrics, and alerts. OPERATIONS / UNIFIED Deploy your way ## Cloud. On-prem. Or somewhere in between. Keep agents close to the data and connect environments securely. Gluesync fits your infrastructure instead of forcing your infrastructure to fit it. - 01**Cloud-native**AWS, Azure, or Google Cloud - 02**On-premises**Inside your controlled data center - 03**Hybrid**Bridge cloud and private systems - 04**Containerized**Docker and Kubernetes ready CLOUD**AWS****AZURE****GCP** **CORE HUB**CONTROL PLANE PRIVATE NETWORK**DB****ERP****FILES** Integration use cases ## Fresh data changes what’s possible. Bridge legacy silos and modern platforms with continuous flows built for demanding enterprise scenarios. [01 ### Data Warehouse Ingest operational data into cloud warehouses continuously. Retire batch windows and keep analytical models current.](/solutions/warehouse-sync/) [02 ### Data Lake Stream high-fidelity data into your lakehouse bronze layer without adding load to production systems.](/solutions/data-lake/) [03 ### Event Streaming Turn database transactions into events for Kafka, Pub/Sub, and enterprise event-driven architectures.](/solutions/cdc-streaming/) [04 ### Business Intelligence Give decision-makers sub-second visibility across fragmented operational systems.](/solutions/federated-queries/) [05 ### AI & RAG Feed models and retrieval pipelines with fresh enterprise context instead of stale exports.](/solutions/ai-rag/) [06 ### Customer 360 Unify CRM, ERP, and NoSQL records into a live customer view for instant insight.](/solutions/customer-360/) [07 ### Database Offload Move read-heavy workloads away from IBM i, Oracle, and other mission-critical systems. ](/solutions/database-offload/) Your route is next ## Don’t see your system? Challenge us. Tell us what needs to move, where it needs to go, and how fast. Our integration team will design the route with you. [Request an integration](/contacts/?topic=new-connector-availability) [Explore Gluesync](/gluesync/)