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HBase vs Riak: What are the differences?
HBase: The Hadoop database, a distributed, scalable, big data store. Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop; Riak: A distributed, decentralized data storage system. Riak is a distributed database designed to deliver maximum data availability by distributing data across multiple servers. As long as your client can reach one Riak server, it should be able to write data. In most failure scenarios, the data you want to read should be available, although it may not be the most up-to-date version of that data.
HBase and Riak belong to "Databases" category of the tech stack.
"Performance" is the primary reason why developers consider HBase over the competitors, whereas "High Performance " was stated as the key factor in picking Riak.
HBase and Riak are both open source tools. Riak with 3.24K GitHub stars and 530 forks on GitHub appears to be more popular than HBase with 2.91K GitHub stars and 2.01K GitHub forks.
According to the StackShare community, HBase has a broader approval, being mentioned in 54 company stacks & 18 developers stacks; compared to Riak, which is listed in 15 company stacks and 10 developer stacks.
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 HBase
- Performance9
- OLTP5
- Fast Point Queries1
Pros of Riak
- High Performance14
- High Availability11
- Easy Scalability9
- Flexible5
- Strong Consistency1
- Eventual Consistency1
- Distributed1
- Multi datacenter deployments1
- Reliable1
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What is HBase?
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