I'm thinking of creating a multi-tenant app using Apache Cassandra.
I can think of three strategies:
The voice in my head is suggesting that I go with option 3.
Thoughts and implications, anyone?
There are several considerations that you need to take into account:
Option 1: In pure Cassandra this option will work only if access to database will be always through "proxy" - the API, for example, that will enforce filtering on tenant field. Otherwise, if you provide an CQL access, then everybody can read all data. In this case, you need also to create data model carefully, to have tenant as a part of composite partition key. DataStax Enterprise (DSE) has additional functionality called row-level access control (RLAC) that allows to set permissions on the table level.
Options 2 & 3: are quite similar, except that when you have a keyspace per tenant, then you have flexibility to setup different replication strategy - this could be useful to store customer's data in different data centers bound to different geographic regions. But in both cases there are limitations on the number of tables in the cluster - reasonable number of tables is around 200, with "hard stop" on more than 500. The reason - you need an additional resources, such as memory, to keep auxiliary data structures (bloom filter, etc.) for every table, and this will consume both heap & off-heap memory.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With