Why Sharding is the Wrong Way to Scale Your Database

In order for your e-commerce platform to live up to its fullest potential, you need a database that will scale. It’s as simple as that.

As technology has advanced and e-commerce retailers have more information at their disposal than ever before, traditional MySQL databases have reached their limits. They lack both the ability to scale out, and the ability to process large volumes of data while simultaneously ensuring the integrity of each transaction.

To combat that, some retailers have decided to subvert standard methodologies for expanding capacity. One method, database sharding, partitions databases across multiple servers. Sharding gets its name from a comparison to a portion of glass being broken into many pieces.

In the past, when e-commerce businesses grew, MySQL performance would begin to slow after awhile, as the increased load overwhelmed database capacity. As a single instance server filled to the brim, database managers would use sharding to accommodate growth. The process would split information into multiple databases. Then, instead of dealing with only one database, many had to be accommodated.

With this, managing relevant data becomes more complex.  Even if it’s managed perfectly, there’s at least twice the latency and three times the code. In other words, once a database has been compromised by sharding, managers lose all of the power of the relational database. This results in more difficult analytics that take longer to perform. Additionally, more bugs are created, and ultimately, customer satisfaction suffers. On top of that, application development becomes needlessly complex.

Clustrix was founded to solve this problem. Databases need to scale out without having to forego their relational functionality, and that’s precisely where ClustrixDB enters the equation.

ClustrixDB is a scale-out NewSQL cloud database that guarantees atomicity, consistency, isolation and durability (ACID) in every transaction. Database managers will notice that ClustrixDB gives them the ability to process tons of information while concurrently handling large volumes of e-commerce traffic.

And your application developers won’t need to know anything about whether the tables are sharded or not – they can just write their queries and updates, and ClustrixDB takes care of the rest, transparently. And ‘the rest’ means: massively-parallel read and writetransactions, across multiple shared-nothing scale-out nodes, always maximizing your hardware utilization and offering maximum fault-tolerance of your data.

Learn more about how ClustrixDB is the solution you’ve been looking for.