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CrateIO vs RocksDB: What are the differences?
- Storage Engine: CrateIO utilizes a distributed SQL database whereas RocksDB is an embeddable persistent key-value store for fast storage.
- Data Model: CrateIO offers a SQL interface for data manipulation while RocksDB operates with a simple key-value data model.
- Scalability: CrateIO is designed for horizontal scalability and data distribution across multiple nodes, while RocksDB is more suitable for single-node deployments.
- Query Language: CrateIO supports SQL queries for fetching and manipulating data, whereas RocksDB does not have a built-in query language.
- Community Support: CrateIO benefits from an active community and commercial support, whereas RocksDB has more limited community-driven development and support.
- Use Cases: CrateIO is commonly used for large-scale distributed data processing and analytics, while RocksDB is often used in applications that require high-performance local key-value storage.
In Summary, CrateIO and RocksDB differ in their storage engines, data models, scalability, query languages, community support, and typical use cases.
I am researching different querying solutions to handle ~1 trillion records of data (in the realm of a petabyte). The data is mostly textual. I have identified a few options: Milvus, HBase, RocksDB, and Elasticsearch. I was wondering if there is a good way to compare the performance of these options (or if anyone has already done something like this). I want to be able to compare the speed of ingesting and querying textual data from these tools. Does anyone have information on this or know where I can find some? Thanks in advance!
You've probably come to a decision already but for those reading...here are some resources we put together to help people learn more about Milvus and other databases https://zilliz.com/comparison and https://github.com/zilliztech/VectorDBBench. I don't think they include RocksDB or HBase yet (you could could recommend on GitHub) but hopefully they help answer your Elastic Search questions.
Pros of CrateIO
- Simplicity3
- Scale2
- Open source2
Pros of RocksDB
- Very fast5
- Made by Facebook3
- Consistent performance2
- Ability to add logic to the database layer where needed1
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