Gluesync solutions
One data platform.
14 operational outcomes.
Apply Gluesync integration, querying, health, and security capabilities to the data challenges your teams face every day.
Use cases
Start with the outcome you need
No solutions match.
Solution · AI data supply
AI & RAG
Keep retrieval stores in sync with operational systems, and expose Core Hub MCP tools for pipelines, reporting, and SQL under caller RBAC.
Explore AI & RAG →Solution · Governed AI
AI as SQL
Ask your federated Gluesync estate in natural language from the same JDBC connection you already use — get an answer and a SQL draft you review before anything runs.
Explore AI as SQL →Solution · Legacy databases
AI on legacy databases
Reach IBM i, Db2, Oracle, and other systems modern AI stacks miss. AI Hub adds governed agent workflows on that same Gluesync data plane.
Explore AI on legacy databases →Solution · Real-time integration
CDC Streaming
Capture committed database changes from transaction logs and deliver them continuously — no full-table polling.
Explore CDC Streaming →Solution · Modernization
Cloud Migration
Move large operational datasets with parallel snapshots, then keep source and cloud targets aligned with CDC until your applications are ready to switch.
Explore Cloud Migration →Solution · Unified customer data
Customer 360
Unite CRM, ERP, and NoSQL customer records into one live view — replicate to a shared target, or query in place with Query Forge.
Explore Customer 360 →Solution · Lakehouse ingestion
Data Lake
Write snapshots and continuous changes to S3, ADLS Gen2, and GCS as Parquet, CSV, or JSON — without loading production databases.
Explore Data Lake →Solution · Workload offloading
Database Offload
Replicate IBM i, Oracle, and other critical databases into read targets via journal/log CDC so reporting stops competing with transactions.
Explore Database Offload →Solution · Database security
Coming soonDatabase security
Encrypt data in motion and enforce RBAC today; prepare for centralized vulnerability posture and patch intelligence in Gluesync Connect.
Explore Database security →Solution · Database health
Coming soonDB performance advisor
Bring fleet-wide health, slowness detection, and human-approved remedies into the Gluesync operational workflow.
Explore DB performance advisor →Solution · Commercial CDC
Debezium alternative
Compare Kafka + Debezium DIY CDC with Gluesync managed pipelines. Heterogeneous agents, Core Hub ops, IBM i and broader targets. When Debezium still wins.
Explore Debezium alternative →Solution · Federated data access
Federated Queries
Run read-only SQL across isolated Gluesync agents through one JDBC endpoint—without first copying raw data into a central warehouse.
Explore Federated Queries →Solution · Enablement
Professional Services
Get Gluesync into production faster with discovery, install, pipeline setup, migration from legacy vendor CDC products and other CDC tools, validation, and cutover support — led by MOLO17 or enabling your team and partners.
Explore Professional Services →Solution · Analytics delivery
Warehouse Sync
Stream operational changes into Snowflake, BigQuery, object storage, and other analytical targets using snapshots, CDC, and destination-native bulk loading.
Explore Warehouse Sync →CDC by source database
Start with the database you run
One Gluesync agent per source system, each reading that database's native change stream. Pick yours to see the capture method, prerequisites, and targets.
- Amazon DynamoDB Change capture from DynamoDB Streams
- Azure Cosmos DB Native change feed CDC under one Core Hub
- Couchbase Server Native DCP stream or Eventing, CE and EE
- IBM Db2 for i (AS/400) Journal API CDC for AS/400
- IBM Db2 for LUW Log reader on 11.5.8.0+, triggers from 11.5
- IBM Informix Native Informix change stream, Core Hub ops
- MariaDB Binary log capture, one Core Hub control plane
- Microsoft SQL Server Transaction log CDC and Change Tracking agents
- MongoDB Native Change Streams capture, Atlas included
- MySQL Binary log CDC, one Core Hub for every source
- Oracle Database Four Oracle capture agents, one control plane
- PostgreSQL Log-based WAL capture, no table polling
- SAP ASE (Sybase) Trigger-based CDC for SAP ASE 15.7 and later
- SAP HANA Shadow-table CDC, HANA 2.0 SPS04+ and Cloud
- ScyllaDB Native CDC log reads, one Core Hub control plane
- YugabyteDB Logical replication CDC for distributed SQL
Replicate to a target
Deliver changes where your teams work
One Gluesync agent per target, writing with that system's native load and apply paths. Pick a destination to see the write method, prerequisites, and the sources that feed it.
- Aerospike Paged Java SDK writes into Aerospike namespaces
- Amazon DynamoDB Batched AWS SDK writes, snapshot, then CDC
- Amazon Redshift S3 staging, COPY bulk loads, CDC
- Amazon S3 & S3-compatible Amazon S3, MinIO, Dell ECS, any S3 API store
- Apache Cassandra Batched CQL writes, snapshot then CDC
- Apache Kafka JSON change events per topic, no Connect cluster
- Azure Cosmos DB Batched Cosmos SDK writes, upsert by item id
- Azure Data Lake Storage Grouped Parquet change files, Entra ID auth
- ClickHouse Batched INSERTs, per-agent CDC, TLS
- CockroachDB PostgreSQL wire protocol, JDBC batch writes
- Couchbase Couchbase SDK writes, collections, CDC
- File and object stores Parquet, JSON, CSV files on NFS, SFTP, SMB
- Google BigQuery Native SDK, Cloud Storage load jobs, CDC
- Google Cloud Storage Grouped Parquet or JSON files in your buckets
- Google Pub/Sub Batched Java SDK publishing, keyed messages
- GridGain Thin client writes, snapshot then CDC
- IBM Db2 JDBC batches to LUW, bulk COPY into IBM i
- IBM Informix JDBC batches and staged bulk loads
- MariaDB JDBC batch writes and staged bulk loads
- Microsoft SQL Server JDBC batches and SqlBulkCopy bulk cycles
- MongoDB Native SDK writes to collections, Atlas ready
- MySQL JDBC batch writes and staged bulk cycles
- Oracle Database JDBC batches and array-bound bulk cycles
- PostgreSQL JDBC batch writes and COPY bulk loads
- RavenDB Java SDK batch writes into RavenDB collections
- Redis Hash-per-row writes, snapshot then CDC
- SAP ASE (Sybase) JDBC batches over TLS, snapshot then CDC
- SAP HANA MERGE upserts over ngdbc, HANA Cloud ready
- ScyllaDB Cluster-aware driver writes, snapshot then CDC
- SingleStore JDBC writes and staged bulk loads
- Snowflake Snowpipe snapshots, COPY INTO bulk CDC
- Solace PubSub+ Direct or persisted SMF publishing per entity
- Vertica Real-time JDBC writes with TLS
- YugabyteDB Smart JDBC batches, upsert on duplicate key
Map Gluesync to your architecture
Talk with MOLO17 about sources, targets, network boundaries, latency, and operational requirements.