HyperBase
HyperBase is an open-source NoSQL database that provides high performance, scalability, and flexibility. It works well for applications that need to handle large volumes of unstructured, semi-structured, or structured data.
nosql
database
opensource
HyperBase: Open-Source NoSQL Database
High-performance, scalable, and flexible open-source NoSQL database for handling large volumes of unstructured, semi-structured, or structured data.
What is HyperBase?
HyperBase is an open-source NoSQL database management system that is designed to handle large volumes of structured, semi-structured, and unstructured data across distributed systems. It is built to be highly scalable, performant, and resilient.
Some key features and capabilities of HyperBase include:
- A flexible non-relational data model that supports multiple data structures like key-value, wide column, document, and graph formats
- Automatic sharding to distribute data and queries across clusters of commodity servers
- In-memory caching and disk-based storage options for optimal performance
- Strong consistency and high availability through synchronous replication
- Support for SQL-like querying via HyperQL with many geo, text and analytic functions
- APIs for many programming languages like Java, Python, Go, Node.js and more
- Role-based access control for security
- Backups, monitoring, and enterprise management tools
HyperBase excels in use cases that demand extreme scalability for data ingest and queries while also requiring strong data consistency - things like IoT/time series data, web and mobile apps, meters and measurements, and network data analytics.
HyperBase Features
Features
- Document-oriented database with JSON-like data model
- High performance and scalability using distributed architecture
- Flexible schema design
- ACID transactions
- Querying through declarative SQL-like language
- Full text search
- Real-time analytics
Pricing
- Open Source
Pros
High performance for read/write workloads
Horizontally scalable
Flexible schema allows storing unstructured/semi-structured data
Powerful query capabilities
Open source with community support
Cons
Limited ecosystem compared to more established databases
Steep learning curve for query language
Not ideal for complex transactions or relationships between data
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