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I think this FUD gets repeated a lot - however, is there any evidence that Mongodb "doesnt' scale"? I don't think MongoDB (or anything) is a magic bullet, - ho

I think this FUD gets repeated a lot - however, is there any evidence that Mongodb "doesnt' scale"? I don't think MongoDB (or anything) is a magic bullet, - however, like any technology, it optimises for certain technical trade-offs. There is no free lunch. If you're a real engineer, you should do your background reading before using any product (MongoDB, Couchbase, Postgres etc.) There are a lot of very large MongoDB installations (e.g. Stripe, FourSquare, eBay etc.) - and I'm sure a lot of large Couchbase installations). Probably larger than most people here would ever deal with. Hence, I suspect an inability to get either to scale to your dataset if probably more an issue with how you're using it, or a failure to READ THE FINE MANUAL. Remember that hoax article from a few years ago, "Don't use MonogDB" - one of the claims was, we were at capacity, and we had issues adding in sharding. Gee, your system is at max capacity, and you wonder why you can't tack on sharding and re-balance your shards. I know it probably sucks to hear, but don't you think you should have monitored your systems, to know before they were full? It's like say, running ZFS on a Raspberry Pi and complaining, gee, why the performance suck? ZFS SUCKS!!! If you're read the docs, you'd know that ZFS needs RAM for the ARC cache. Oh, and running on that little RAM, you expose yourself to FS corruption issues. ZFS is a great filesystem, if used correctly. Use the right tool for the right job, and read the docs.

eksith 13y ago
I'm curious whether anyone has done any recent, and hopefully unbiased and comprehensive, Mongo comparisons with other DBMS with a large dataset. It's been a while since I've seen any new information.
- victorhooi 13y ago
  Performance (for any system) is really going to be dependent on your particular hardware, your database schema, and the sorts of queries you'll likely be running. Somebody else's benchmarks numbers may not mean very much for your own real-world use case. So in short - you should be running your own tests/benchmarks. Nonetheless, ServerDensity has some of their numbers here: https://blog.serverdensity.com/mongodb-benchmarks/ https://blog.serverdensity.com/mongodb-benchmarks/ Also, MongoDB (the company) dogfoods MongoDB (the product) to run their online monitoring/backup service, MMS (http://mms.mongodb.com/ http://mms.mongodb.com/). The scale on that thing (in terms of writes/updates) is huge. There are also several other well-known very-large installations of MongoDB: * Trello * FourSquare * Craigslist * Server Density * Trello * Bit.ly * Chartbeat Most of these DB products are reasonably mature (for a given value of mature) by now - so any of them could probably scale to your workload. So you also need to look at other features as well - developer ease-of-use, ecosystem/tooling, support etc. Put it this way - needing to scale is usually a good problem you want to be having =) - and as the above shows, MongoDB is more than capable of doing it. If you have specific questions - the MongoDB Google Group is a fantastically friendly place to ask: https://groups.google.com/forum/#!forum/mongodb-user https://groups.google.com/forum/#!forum/mongodb-user and the answers they give are pretty detailed.

eksith 13y ago

I'm curious whether anyone has done any recent, and hopefully unbiased and comprehensive, Mongo comparisons with other DBMS with a large dataset. It's been a while since I've seen any new information.

victorhooi 13y ago
Performance (for any system) is really going to be dependent on your particular hardware, your database schema, and the sorts of queries you'll likely be running. Somebody else's benchmarks numbers may not mean very much for your own real-world use case. So in short - you should be running your own tests/benchmarks. Nonetheless, ServerDensity has some of their numbers here: https://blog.serverdensity.com/mongodb-benchmarks/ https://blog.serverdensity.com/mongodb-benchmarks/ Also, MongoDB (the company) dogfoods MongoDB (the product) to run their online monitoring/backup service, MMS (http://mms.mongodb.com/ http://mms.mongodb.com/). The scale on that thing (in terms of writes/updates) is huge. There are also several other well-known very-large installations of MongoDB: * Trello * FourSquare * Craigslist * Server Density * Trello * Bit.ly * Chartbeat Most of these DB products are reasonably mature (for a given value of mature) by now - so any of them could probably scale to your workload. So you also need to look at other features as well - developer ease-of-use, ecosystem/tooling, support etc. Put it this way - needing to scale is usually a good problem you want to be having =) - and as the above shows, MongoDB is more than capable of doing it. If you have specific questions - the MongoDB Google Group is a fantastically friendly place to ask: https://groups.google.com/forum/#!forum/mongodb-user https://groups.google.com/forum/#!forum/mongodb-user and the answers they give are pretty detailed.