DBConvert Streams vs Gluesync

DBConvert Streams combines a database IDE for exploration and SQL with migration and change-data-capture streaming. One-time Load migrations and ongoing CDC replication are supported; MySQL CDC uses binlog replication and PostgreSQL CDC uses logical replication. Connectors include MySQL, PostgreSQL, Snowflake, local files, S3-compatible storage, and federated queries. Embedded DuckDB lets federated SQL join databases and file or object-storage sources in one statement. Local-file workflows handle CSV, JSON, JSONL, and Parquet, with CSV, JSONL, and Parquet listed as target formats. The software runs as a Windows, macOS, or Linux desktop application, or as Docker on a server, VPS, bare metal, or cloud VM. CDC does not need Kafka, Zookeeper, or Kubernetes; NATS is bundled in the desktop app or Docker Compose stack. It also offers an AI assistant, read-only MCP operations, and more than 80 REST endpoints. The Free plan is free and includes an IDE, viewers, extensions, and federated queries across two sources. Its CDC trial lasts seven days from the first stream and covers up to three tables.

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.