Gluesync vs PeerDB
Gluesync
molo17.comPeerDB
peerdb.ioSide by side
| Figure | Gluesync | PeerDB |
|---|---|---|
| Price from | — | $250/mo |
| Free plan | — | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 5 |
| Spec score · Database Replication Software | 7.7 (#12) | 7.9 (#11) |
| Purpose | 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. | PeerDB streams data from Postgres to data warehouses, queues, and storage engines. |
| Support | MOLO17 says registered users can access its online help desk and directs users to contact the company to sign up for support. | PeerDB provides documentation and a community Slack for questions, while paid plans include implementation support and certain plans include 24x7 production support with SLAs. |
Plans
PeerDB
- Open sourceFree
- Micro$250 a month
- Small$1,000 a month
- Medium$2,000 a month
- Large$4,000 a month
In their own words
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.
PeerDB
PeerDB streams data from Postgres to data warehouses, queues, and storage engines, using one-way replication. Its supported methods include log-based change data capture, cursor-based replication with timestamps or integers, and XMIN-based replication. A Postgres-compatible SQL interface supports ETL and data movement, and PeerDB handles Postgres data types such as jsonb, arrays, and PostGIS, as well as TOAST columns and schema changes. The actively maintained source connectors are PostgreSQL, MySQL, MongoDB, CockroachDB, and BigQuery; actively maintained destinations are ClickHouse, ClickHouse Cloud, and Postgres. Snowflake, BigQuery, Elasticsearch, Kafka, Redpanda, Confluent, Azure Event Hubs, Google Pub/Sub, and S3 destinations are deprecated and no longer actively maintained. PeerDB is available for free deployment under the AGPL-3.0 license. Paid plans start at $250/mo for Micro, which allows up to two vcores and is recommended for up to 50 million rows moved per month. Larger plans list higher row-volume recommendations and vcore limits. PeerDB states that it is 10x faster than existing tools and reports SOC 2 Type II and GDPR compliance.