What database to use for big data storage and manipulation?

I have to make a decision of which database server to use for my next project, but the simple decision to use MySQL like almost all the projects I did is harder now, because I expect very much records.

The database will store a user list, some other irrelevant tables, and the last one, some user-collected data. Let's say, if I have 6000 users responding to a quiz about each other. Simple math shows that from those users, if each one completes the quiz about everyone (and in my project that is 99% sure that will happen) I'll end up with 35.99million records(they will exclude th开发者_如何学Pythonemselves and in this particular situation the operation is 6000*5999). Unfortunately 6000 maybe is a small number, the real one growing day by day.

What to choose? MySQL and maybe if things go well and the project grows to expand it in a cluster? PostgreSQL, MSSQL? Oracle?

I've read about all of them, each one has it's pros and cons, but still don't know what to choose. The advantage of MySQL and PostgreSQL is of course, the starting price of $0 which is pretty nice in a usual self-funded startup.

Any opinions, pieces of advice? If you encountered this situation in your experience as developers, I'd love to hear from you.

These days, free isn't something that differenciates between databases any more. Both Oracle and SQL Server have free versions, but the limitations is resources - 4 GB database, RAM & single CPU utilization. Millions of records is not a concern - it's what datatypes you're using.

I saw the OPs comment about not liking MS software - that's your prerogative, but using the free versions of either Oracle or SQL Server do benefit from seamless transition to upscale versions of the respective database.

Personally, my choice would be either Oracle or SQL Server because of IMHO, real feature considerations like hierarchical query support, subquery factoring/CTE, packages (long before I get concerned with functions/procedures), full text searching, xml support, etc.

MySQL will handle 35 million records no problem. Worry about scalability when you get there. You can easily add raid hard disks backing your database tables, and if you really start getting big you can get a compellant SAN that will scream... Don't worry about the DB engine as much as the underlying hardware.. MySQL rocks for us with millions of records.

I've had no problems handling tables as large as 36,000,000 rows on MySQL and Oracle.

Just be sure that you index the proper columns, run EXPLAINs for your queries, and maintain proper design principles.

Most of the truly large scale web properties use a distributed key-value store. That said, 35 million is large, but not that large. With most modern databases, your main two scaling worries should be throughput and what happens when no single box can contain your entire database anymore. And both of these problems can be solved to some degree for any database you choose to use. (Caching, replication, sharding, etc.)

Use MySQL until you can't anymore. At that point, you ought to be rolling in dough anyways and you now have a very desirable problem.

Use MySQL as it's free and you have experience with it.

Besides in my opinion it matters more on how you design the tables than which database you use.

35 million records can be easily handled by MS SQL Server (assuming proper database design, indices, etc.). You can start with the free SQL Server Express edition and later, if you need, you can upgrade to the full version which supports clustering, etc.

SQL Server Express does have some limitations - single CPU, 1 GB memory, max 4 GB database size and a few other things. I'm not sure how quickly these limitations will become a problem but you can always move to the full version when you run into them.

MySQL(i) & Postgre

• 0$ of costs
• large community
• many tutorials
• well documentated

MSSQL

• You can get "money" from MS if you promote that you are using MSSQL (secret information from some companies I worked for)
• MS tools work very well
• Complete tool set from C# IDE over .NET lib to Windows Server 2003

Oracle

• Professional and commercial provider
• Used by many large companies (I also heard about Blizzard (World of Warcraft) using Oracle)
• - expensive

The final decision depends on the very special requirements of your project. Make yourself a quick list of things , that ARE IMPORTANT for your project (e.g. quick performed queries) and look up which Database pros are matching the most to your requirements.

Everything is about design. SQL Database are some kind of cars, you just have to know which component has to be placed here and which there. Make a clear design and you won't struggle with any of them.

May be you can test Firebird

Blog post about big Firebird database here

MySQL licence is here (not allways free).

Postgresql and Firebird are free.

First of all, don't think about performance. Premature optimization being the root of all evil and all that. You can always throw more hardware and/or tuning at it later.

All of the mentioned should perform nicely if tuned/maintained correctly. I'd focus on manageability and familiarity. IMHO open source databases excels on manageability (perhaps not the best GUIs, but the CLI has been my home for a long long time).

And if the database becomes the bottleneck, why limit yourself to those choices? How about a key-value distributed database? Or perhaps serialize data directly to disk? Storing data outside of a RDBMS, while often frowned upon, might be the correct path. Or simply use the common route of denormalization.

Always remember not to optimize prematurely.

As far as opinions go (since you specifically asked for it) I favor open source databases, specifically PostgreSQL. It's rock solid, fast and very well-featured. And even with (relatively) large datasets it has performed superbly on mediocre hardware (some tuning involved, of course, but you can't skip that step no matter which db you end up choosing).