mirror of https://github.com/apache/druid.git
8 lines
656 B
Markdown
8 lines
656 B
Markdown
|
How does Druid compare to Vertica?
|
|||
|
|
|||
|
Vertica is similar to ParAccel/Redshift ([[Druid-vs-Redshift]]) described above in that it wasn’t built for real-time streaming data ingestion and it supports full SQL.
|
|||
|
|
|||
|
The other big difference is that instead of employing indexing, Vertica tries to optimize processing by leveraging run-length encoding (RLE) and other compression techniques along with a “projection” system that creates materialized copies of the data in a different sort order (to maximize the effectiveness of RLE).
|
|||
|
|
|||
|
We are unclear about how Vertica handles data distribution and replication, so we cannot speak to if/how Druid is different.
|