4 ms·

Agamemnon 0.3.0.0: A graph database built on top of cassandra

53 points by brugidou 15y ago

jmags 15y ago
The joke in the name of this project makes me really uncomfortable.
- deleted 15y ago
  [deleted]
- boyter 15y ago
  For those not in the know Agamemnon took Cassandra (daughter of Priam king of Troy) as his concubine in the Iliad, hence the "on" pun. I'm with you though. As much as I love projects with Classical History names this title makes it just a little creepy.
- deleted 15y ago
  [deleted]
- ristretto 15y ago
  Does it help to think that they were both killed by his wife and her lover? What a family
endgame 15y ago
This is just about the best "new version" headline I've seen, since it has the name of the project, the version, and what the thing actually is.
Fenn 15y ago
Anyone had any practical experience with this? I'm somewhat skeptical of the practicality of a graph database backed by a network-connected datastore (as distinct from a graph database exposed over a network interface, ie: neo4j) due to the inevitable latency when traversing the graph. Also the practicality of scale-out using an ostensibly sharded datastore (cassandra) for a structure that's notoriously difficult to shard meaningfully (graph).
- rjurney 15y ago
  It's going to be slow for global algorithms in large graphs, and fast for local traversals in any graph. Which is the best you can hope for, and they're probably close to the state of the art at doing both in one DB.
pizza_ 15y ago
I'll wait for 0.3.0.0.0, thanks.
jimbokun 15y ago
Says inspired by neo4j, any reason to use this over neo4j? Any benefits from being build on top of Cassandra?
- sgk284 15y ago
  Neo4j is limited to the ram available on a single machine. Cassandra can scale across many machines. You won't get nearly the same performance though as you would with neo4j.
  - pjscott 15y ago
    Small correction: neo4j is limited to the resources of a single machine, but the database doesn't need to fit in RAM. You will see a significant slowdown once your data gets too big for RAM, but neo4j has put a fair amount of effort into efficient caching.
  - rjurney 15y ago
    I've done something similar over Voldemort. Local traversals are probably comparable, depending on how they partition and how much duplication there is. And then, you get to do large traversals, which is nice. I don't know how good Agamemnon is, but I like the approach.

53 points by brugidou 15y ago

jmags 15y ago

The joke in the name of this project makes me really uncomfortable.

deleted 15y ago
[deleted]
boyter 15y ago
For those not in the know Agamemnon took Cassandra (daughter of Priam king of Troy) as his concubine in the Iliad, hence the "on" pun. I'm with you though. As much as I love projects with Classical History names this title makes it just a little creepy.
deleted 15y ago
[deleted]
ristretto 15y ago
Does it help to think that they were both killed by his wife and her lover? What a family

endgame 15y ago

This is just about the best "new version" headline I've seen, since it has the name of the project, the version, and what the thing actually is.

Fenn 15y ago

Anyone had any practical experience with this? I'm somewhat skeptical of the practicality of a graph database backed by a network-connected datastore (as distinct from a graph database exposed over a network interface, ie: neo4j) due to the inevitable latency when traversing the graph. Also the practicality of scale-out using an ostensibly sharded datastore (cassandra) for a structure that's notoriously difficult to shard meaningfully (graph).

rjurney 15y ago
It's going to be slow for global algorithms in large graphs, and fast for local traversals in any graph. Which is the best you can hope for, and they're probably close to the state of the art at doing both in one DB.

pizza_ 15y ago

I'll wait for 0.3.0.0.0, thanks.

jimbokun 15y ago

Says inspired by neo4j, any reason to use this over neo4j? Any benefits from being build on top of Cassandra?

sgk284 15y ago
Neo4j is limited to the ram available on a single machine. Cassandra can scale across many machines. You won't get nearly the same performance though as you would with neo4j.
- pjscott 15y ago
  Small correction: neo4j is limited to the resources of a single machine, but the database doesn't need to fit in RAM. You will see a significant slowdown once your data gets too big for RAM, but neo4j has put a fair amount of effort into efficient caching.
- rjurney 15y ago
  I've done something similar over Voldemort. Local traversals are probably comparable, depending on how they partition and how much duplication there is. And then, you get to do large traversals, which is nice. I don't know how good Agamemnon is, but I like the approach.