Debezium
CDC/Streaming
36.1
Overall Score
433 quotes
Dimension Scores
Sync Reliability 25
Connector Breadth 58
Performance at Scale 25
Setup & Ease of Use 42
Overview
Debezium serves as a solution in the cdc/streaming space. The platform has built a user base for its approach to handling data workflows. Users have provided feedback on various aspects of the platform's functionality and operational characteristics.
Key aspects that emerge from user feedback include both strengths in specific operational domains and challenges that teams face when deploying or scaling the solution. The platform's positioning within the cdc/streaming category means it competes on specific dimensions that matter to that market segment.
Like any data integration tool, Debezium has both capabilities and constraints that vary depending on deployment context and specific use case requirements.
Key aspects that emerge from user feedback include both strengths in specific operational domains and challenges that teams face when deploying or scaling the solution. The platform's positioning within the cdc/streaming category means it competes on specific dimensions that matter to that market segment.
Like any data integration tool, Debezium has both capabilities and constraints that vary depending on deployment context and specific use case requirements.
Strengths
- Referenced strength from user feedback
- Additional capability noted by users
- Feature or approach valued by practitioners
Limitations
- Operational consideration mentioned in feedback
- Scaling or deployment challenge noted
- Area for improvement identified by users
Pricing Model
Pricing model varies by deployment option. Check the vendor's website for current rates.
User Evidence
Positive hn
"PG-Capture lets you source events from Debezium, WAL-Listener, PG directely..."View original →
Positive hn
"Debezium pipes it into Kafka, allowing you to leverage Kafka while still using MySQL as your primary data store. (Or Postgres, which Debezium includes support for.)"View original →
Negative hn
"Debezium also does not solve the problem it, and from DBA point of view it is a blocker for adoption."View original →
Negative hn
"We tested kafka connect and felt it was hard to work with. Had to setup 3 steps a) stream changes to kafka b) sync raw changes from kafka to the target data-store c) normalize the raw changes to the target."View original →
Negative hn
"easy to setup and work with - no dependence on kafka, zookeper, kafka connect"View original →
Negative hn
"Connectors restarting more often than expected. Backlog recovery during peak traffic could take hours."View original →
Last updated: Jun 17, 2026