Main feature updates:
- BigQuery pipeline
- Kafka pipeline
- Confluent pipeline- /dev/null destination support
- Databricks Lakehouse UI rework & Azure/S3 support
Detail fixes:
- Pipeline destination - BigQuery
- Pipeline destination - Kafka
- Pipeline destination - Confluent
- Support /dev/null destination for extractor performance testing
- Allow download of full Replicant trace log
- Allow disabling IPv6 in container
- Cannot save YugabyteSQL applier
- Disable role creation as default for all replication
- Configuration edit not working properly
- Missing restart for finished replications
- Oracle to Big Query Fails due to connection issue
- Google Big Query Applier - Replay Strategy Not Being Recorded
- Query reply-strategy not being printed
- PostgreSQL default port listed as hostname
- Oracle Applier unable to save
- Oracle roles still being fetched even when unchecked in extractor
- Cloud wording on front screen
- Catalog name undefined in the per table target configuration
- Pre-populate default port for all connectors
- Add IN_MEMORY_MERGE applier support
- Add ability to skip row counts to extractor
- Update connection with unsaved changes on test
- Databricks applier - save-file-on-error - default to false
- Add maxFilesPerBulkLoad to applier
- Add Azure and S3 support to Lakehouse
- Realtime replication mode support + MySQL cursor support
- Connector list - alphabetical sort
- MySQL extractor - expose idleBinLogTimeoutSeconds in realtime
Deploy the only cloud-native data replication platform you’ll ever need. Get real-time, high-performance data pipelines today.
8 sources & 6 targets
Pre-configured enterprise instance
Available in four US AWS regions
*No payment info required
20+ enterprise source and target connectors
Deploy on-prem or VPC
Satisfy security requirements
Fully managed, in the cloud.