Streamiz wrap a consumer, a producer, and execute the topology for each record consumed in the source topic. You can easily create stateless and stateful application. By default, each state store is a RocksDb state store persisted on disk. - Source: dev.to / about 2 months ago
My problem is that both ceph and the rust crate in question utilize the rocksdb store (in rust I use this one) and when I try compiling the project I get multiple definition errors since both the C++ rocksdb and Rust rocksdb are exposing the same functions. - Source: Reddit / 5 months ago
I don't know of any rule of English grammar that would lead to this interpretation. If you do, you should immediately write to the maintainers of these websites: https://redis.com/nosql/key-value-databases/ https://www.mongodb.com/databases/key-value-database https://aws.amazon.com/nosql/key-value/ https://etcd.io/docs/v3.4/learning/why/ https://riak.com/products/riak-kv/ https://rocksdb.org/... - Source: Hacker News / 8 months ago
We will then create a GlobalKTable with a materialize view for the leverage-prices so we can use it to join with incoming quotes and expose the most up to date leverage for a stock taking advantage of the local default materialized state store Rocksdb that is created for us automatically by Kafka Streams. - Source: dev.to / about 1 year ago
The SST files store the key-value pairs for tables and indexes. Sharding is the right term here because each tablet is a database (based on RocksDB), with its own protection. This looks like the sharded databases we described above, except that they are not SQL databases but key-value document stores. They have all the required features for a reliable datastore, with transactions and strong consistency.... - Source: dev.to / about 1 year ago
Hi everyone! Our team just released EdgelessDB, an open-source database built on MariaDB that runs completely inside Intel SGX enclaves. As storage engine, it uses RocksDB with a custom encryption engine. The engine uses AES-GCM and is optimized for RocksDB’s specific SST file layout and the enclave environment. It has some nice properties like global confidentiality and verifiability and it considers strong... - Source: Reddit / over 1 year ago
Hudi tables can be used as sinks for Spark/Flink pipelines and the Hudi writing path provides several enhanced capabilities over file writing done by vanilla parquet/avro sinks. Hudi classifies write operations carefully into incremental (insert, upsert, delete) and batch/bulk operations (insert_overwrite, insert_overwrite_table, delete_partition, bulk_insert) and provides relevant functionality for each operation... - Source: dev.to / over 1 year ago
Do you know an article comparing RocksDB to other products?
Suggest a link to a post with product alternatives.