Fivetran HVR vs Gluesync
Fivetran HVR
fivetran.com
Gluesync
molo17.comSide by side
| Figure | Fivetran HVR | Gluesync |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 0 |
| Spec score · Database Replication Software | 7.6 (#13) | 7.7 (#12) |
| Access controls | HVR provides its own authentication and access control and can integrate with LDAP or Kerberos. | Gluesync lists OIDC identity providers, granular role-based access control, audit logging, and Kubernetes-native secrets and network policies. |
| Change capture | HVR can use log-based change data capture to replicate database changes. | It uses log-based change data capture to read committed changes from transaction logs, journals, or native CDC APIs instead of repeatedly polling full tables. |
| Headquarters | Oakland, California, USA | Cupertino, United States; Pordenone, Italy |
| Integrations | HVR channels connect source and target locations, including databases, files, directories, and data warehouses; SAP NetWeaver is not supported as a target. | The integrations page lists 60+ available integrations across databases, cloud platforms, event streams, and file systems, including PostgreSQL, Kafka, Snowflake, S3, and SFTP. |
| Purpose | HVR replicates data between databases and file systems, with processes for initial loading, continuous change capture, integration, and source-to-target comparison. | Gluesync replicates data changes in real time across relational and NoSQL databases, event streams, and data lakes, using a no-code approach deployed on the customer’s infrastructure. |
Plans
In their own words
Fivetran HVR
Fivetran HVR has no write-up on Specifiction yet; its figures are above.
Gluesync
Gluesync replicates data changes in real time across relational and NoSQL databases, event streams and data lakes. Its log-based change data capture reads committed changes from transaction logs, journals or native CDC APIs instead of repeatedly polling full tables. The platform runs on customer infrastructure and supports on-premises, cloud, private-cloud and hybrid deployments. MOLO17 lists more than 31 supported platforms in four categories, with documented integrations including IBM Db2, PostgreSQL, Oracle, MySQL, Snowflake and Google BigQuery. The supported database list also includes systems such as Microsoft SQL Server, MariaDB, Cassandra, Couchbase and Amazon DynamoDB. An extensible API framework allows custom connectors. The web control plane includes visual pipeline orchestration, field functions, custom UDFs, live monitoring and SQL tools; monitoring covers throughput, latency and pipeline health, including from mobile. Listed security measures include TLS/HTTPS/WSS for data streams, AES-256 node-to-node encryption, OIDC, granular role-based access control, audit logging, and Kubernetes-native secrets and network policies. The maker says sensitive data is not persisted within the engine. Pricing is available on request, and a 30-day trial runs on the customer’s infrastructure with enterprise support during the trial. For a proof of concept, the trial page recommends a dedicated host with 8 vCPU, 8 GB RAM (16 GB recommended) and 250 GB disk.