It's less similar to Apache Drill - Drill is "only" a query engine and doesn't handle the actual data storage. EventQL combines a bigtable-like storage engine (optimized for the analytics use case) with a dremel/bigquery/dremel-like query engine.
Have you done any comparisons to other similar software like influxdb, Cassandra, etc? Especially ingestion rate and disk usage.
What kind of pricing can we expect on Managed Hosting?
We are currently leaning towards Influxdb but the cluster licensing stuff they are doing really made us think twice.
I'd consider taking a look at KDB+
It's not free software so that might be a deal breaker for you.
May be useful to add to Show HN guidelines that it is recommended to add a "Why X" section. Or "How X compares to others in this space".
Without that, it is confusing.
Are authors unaware of other solutions in the space? If so, they surely did not build competitive product.
Or maybe authors are aware of other solutions, but don't want to get compared?
Either way, not a good sign.
can anyone comment on data disk usage ?
 docs - http://eventql.io/documentation/
Queries are mostly limited by IO if running on regular hard disks. The number of rows/seconds mainly depends on the number and types of columns that are accessed. For example, if we scan 1.8B rows and only load a single integer column from disk (and the integers are small), we'll only have to load about 1 byte per row from disk (using an idealized model excluding some overheads for illustration purposes). If we want to complete the query in 1.5 seconds that would be a total IO load of 1144MB/s. So (depending on disk speed) around ~15 machines would suffice.