Oracle NoSQL Reviews

Organizations primarily use Oracle NoSQL as a storage system for structured data, logs, and other information within their infrastructure. It is often combined with MariaDB for relational database functions in telecom solutions. Data scientists utilize Oracle NoSQL to access and modify datasets, while others employ it for data aggregation and retention. The focus is on its capacity to handle diverse data storage needs efficiently.

Customer service and technical support for Oracle NoSQL receive positive remarks. Users note good customer service and quick resolution times in technical support, with exceptional involvement from Oracle’s development team. While some users report a lack of response from Oracle, they often rely on internal support to resolve issues. Overall, users express satisfaction with support interactions.

Developers find Oracle NoSQL's initial setup straightforward, especially with its simple configuration. However, in production, complexities arise with database shards and authentications. Proper dimensioning for performance is challenging. Some installations, like on cloud, face difficulties. Most setups take between minutes to two days, contingent on environment and expertise, requiring knowledgeable staff. Virtual machine deployments involve multiple IT personnel for management. Companies also highlight ease when dealing with small footprints and using zip files for installation.

Users found Oracle NoSQL to be highly scalable, highlighting its cloud-native design and Kubernetes clusters. They encountered no issues with scaling for varying numbers of users. Scalability proved beneficial, particularly compared to previous static architectures. Teams ranging from small to larger employee bases utilized Oracle NoSQL efficiently for diverse applications, emphasizing its adaptability. It received high praise for scalability, recognized as one of its most valuable features. The adaptability suited different organizational needs and applications well.

Users find Oracle NoSQL's stability varies. Organizing data well initially can enhance performance; otherwise, instability may arise. Some users experience stability, while others report issues like significant data loss during testing. Large companies generally find it dependable with minor problems, noting that environments and applications influence stability more than the database. Frequent updates occur, but version compatibility issues may arise, affecting tool installation. Overall, many rate its reliability highly, suggesting stable functionality.