(I am not sure if this is the best place to post this question. If not, please redirect me to the appropriate stack exchange site.)

I am looking to deploy a web application for multiple clients. The idea is that each client can only access his or hers own data. Let's say that the client is the owner of the application installation. Each installation can have multiple users. All installations will be in my own hosting, so that I can better control the code and business model (its a SaaS kind of thing).

I am looking for technical options to perform this kind of deployment.

[Option 1] - Shared single database

On easy option to do this would be:

  • change the database in order for each relevant table to know its "owner id".
  • change all SQL queries so that each User will only fetch data that is related to its "owner id" (I don't have the requirement for an User to be common to more than one client/installation).

However, this solution has a few drawbacks:

  • requires changing most of the SQL code;
  • there might be some performance impact since the database will have much more data (the data for all installations).
  • mixing data of different clients in the same database may cause some issues (if there is a bug, its easier for someone to end up accessing some else's data);

So I would prefer an alternative where the data would be isolated.

[Option 2] - Multiple databases

One alternative that I was considering was:

  • For each installation, buy a DB from the hosting company
  • Come up with a configuration scheme that allows associating each installation with the database where the connection should be performed.
  • For example, if the user accesses http://very-nice-app.com/client-3/ the code knows that it must connect to database-name-for-client-3.

This solves the potential issue of data leaking, but requires me to maintain several databases (if DB tables change, it has to be done across multiple installations). This can probably be automated somehow.


What would be the better approach? Is there a better alternative than the ones I have indicated?

Thanks in advance for your help.

[Additional info]

  • The database engine will probably be MySQL.
  • This is a startup, so we are trying the business model. We don't have a good idea of how many clients we will have - it will be zero for some time. Right now we are looking for the ability to deploy and scale for a few clients (lets say up to 10).
  • This app is targeted at small business and the amount of data should not be in millions of records. The largest table should have about 10.000 records per year (per client). This value is based on the company with whom we did the prototype (which is a mid sized company for the area x business).
  • 1
    It depends. What database are you using on the back end? How many clients do you expect to want to support? How costly is your service? Supporting 1 million clients with 1 million databases is going to be terribly expensive. Supporting 1000 clients with 1000 databases is probably something a medium sized team of DBAs could handle but it would be challenging. Supporting a few dozen clients with a few dozen databases is probably eminently reasonable. Of course, different engines have different definitions of "database" which further complicates things. Commented Sep 7, 2015 at 7:27
  • Hello @Justin Cave, thanks for your comment. I edited my post with some more info.
    – MyName
    Commented Sep 7, 2015 at 8:04

1 Answer 1


This is the old "how to handle multi-tenancy" question for which there is no one right answer. You have covered a good selection of the key points. I can't provide an answer beyond "it depends" but here are a couple of other points for you to consider:

  • mixing data of different clients ... if there is a bug, its easier for someone to end up accessing some else's data and Come up with a scheme associating each installation [correct] database - the risks here are very similar if the various databases are on or can be accessed by the same hosts, especially from the point of view of a defending against deliberate attacker, so that part of the decision comes down to which collection of potential security concerns you feel you can efficiently design around most effectively. If you feel your SQL skills are lacking that might push you in the multiple database direction due to concerns about large data sizes become inefficient as your client base grows.

  • For each installation, buy a DB from the hosting company for a SaaS solution you have an inappropriate hosting arrangement if you are paying per database or similar. It sounds like traditional shared web hosting were you should be looking at dedicated machines (virtual or physical) or a PaaS based platform.

  • Consider carefully how you intend the application to scale. The multiple databases option gives you the freedom to split clients between database servers as your needs grow, but the single database option is easier to manage in a PaaS environment if you design is appropriate, letting the platform provider worry about the physical reality of scaling as you pay for more resources.

  • Also on the scalability matter, make sure consider your administrative responsibilities: how will you backup the data, restore parts of it if there is an error/accident, or restore all of it in the event of an application/platform wide catastrophe, and what timescales do you want/need to work to in such events?

For more information see https://msdn.microsoft.com/en-us/library/aa479086.aspx, https://en.wikipedia.org/wiki/Multitenancy, and search for similar terms for further discussion. (that first link is from MS, but covers the matter from a general design perspective rather than being specific to MS SQL Server, it has also been around a while but the matters concerned haven't changed as much as you might think the would have in the last decade)

  • +1. Regarding the SQL, we have sanitized all input points (and we are currently transitioning the Prepared Statements). But there's always the possibility of a bug, and this is what raised the issue. Regarding the cost, I'm still looking for providers, but right now I'm looking at a hosting alternative that has "unlimited" individual MySQL databases. I'm not sure if these are in the same physical machine, but they will at least be isolated from each other.
    – MyName
    Commented Sep 7, 2015 at 12:08
  • 1
    That still sounds like shared hosting which can be a concern for a number of reasons. You have to worry about new security holes in core components being exploitable via other people's code as well as your own, and depending how the IO subsystem is built (a pair of node-local spinning drives in RAID1 or a large high-performance SAN?) you are more likely to see contention related performance issues due to other clients' activity. In any case, don't be tempted to go too cheap. Commented Sep 7, 2015 at 13:10
  • +1 You gave me some nice thinking points, thank you. Indeed, I was not considering "other's people code on the same server" as a possible issue. At this moment (zero clients), investing on a dedicated machine is probably not going to happen, but it might make sense further down the line.
    – MyName
    Commented Sep 7, 2015 at 16:00
  • 1
    We're straying off topic for DBA.SE so I'll not say much more, but you might want to look into inexpensive VPS solutions. They are often not a lot more than a good shared host, as little as a few $ per month, and mimic a cloud or dedicated setup much more closely so you have the same environment to work with from day one. Heck, If you don't need much CPU umpf Atom based dedicated servers can be had for $10/mo. Of course there may be extra server admin tasks to learn if you don't have the experience already, but you'd need to learn that sooner or later anyway. Commented Sep 7, 2015 at 16:33

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