Compare GridDB and InfluxDB 
GridDB vs InfluxDB
- Users report that GridDB excels in auto sharding with a score of 8.9, allowing for efficient data distribution across nodes, while InfluxDB's auto sharding capabilities are less emphasized, leading to a score of 8.1.
- Reviewers mention that GridDB's data manipulation features are highly rated at 9.7, making it easier for users to perform complex queries and updates, whereas InfluxDB's score of 7.6 indicates some limitations in this area.
- G2 users highlight that GridDB offers superior integrated cache performance with a score of 8.9, which enhances query response times, while InfluxDB does not provide a comparable feature, impacting its overall performance.
- Users on G2 report that GridDB's multi-model support is rated at 8.6, allowing for diverse data handling, whereas InfluxDB's support in this area is less robust, leading to a lower score of 6.1.
- Reviewers say that GridDB's data security features, including role-based authorization and encryption, are rated at 8.9, providing a strong security framework, while InfluxDB's security features are rated lower at 7.9, indicating potential vulnerabilities.
- Users report that GridDB's stability is highly regarded with a score of 9.4, ensuring reliable performance, while InfluxDB's stability score of 7.6 suggests that users may experience more frequent issues.
- Writes: 5MB/5 minutes
- Queries: 300MB/5 minutes
- Dashboards: 5
We need to parse through billions of records, we tried Cassandra and Hadoop, but nothing beats GridDB. Integration with NodeJS is excellent.
Currently I am exploring and I am not finding any dislike I loved it
InfluxDB is a breeze to set up, and administer. We had it up within minutes, and was pouring data into it not long afterwards. Additional instances were just as easy to create, and use cases presented themselves naturally through implementation, expanding...
Poor performance -- queries to check data would often timeout and fail. Limited SQL -- very limited SQL syntax was frustrating -- queries from Internet could not be copied and pasted. Unreliable -- could not handle all of are data, so we throttled and...
We need to parse through billions of records, we tried Cassandra and Hadoop, but nothing beats GridDB. Integration with NodeJS is excellent.
InfluxDB is a breeze to set up, and administer. We had it up within minutes, and was pouring data into it not long afterwards. Additional instances were just as easy to create, and use cases presented themselves naturally through implementation, expanding...
Currently I am exploring and I am not finding any dislike I loved it
Poor performance -- queries to check data would often timeout and fail. Limited SQL -- very limited SQL syntax was frustrating -- queries from Internet could not be copied and pasted. Unreliable -- could not handle all of are data, so we throttled and...
