Clustrix Delivers up to 10x the Performance of Aurora


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More performance is better and the right kind of performance is always best. ClustrixDB can deliver 2x, 5x or even 10x the performance of Aurora, at much lower latencies–without complicated read slaves or sharding. This means that ClustrixDB can process more e-commerce check-outs, or ingest more real-time data, or serve more ads, or do more of anything faster than you can do with MySQL or Aurora.

To back up this claim, we ran a Sysbench test with a typical workload that is representative of the kinds of workloads our customers see in the course of their business (e-commerce, gaming, adtech, social, etc.

RDS MySQL Aurora ClustrixDB
Hardware r3.8Xlarge x 1(32 cores total) r3.8Xlarge x 1(32 cores total) c3.2Xlarge x 4(32 cores total)
Workload Random: 90% reads. 10% Writes
Data 40 million records (=20GB)
Benchmark Test Configuration Sysbench 0.5

Sysbench OLTP 9010 P1

ClustrixDB started faster and stayed faster until the hardware became overwhelmed. Up until that cross-over point, ClustrixDB delivers more throughput at a lower latency rate than Aurora. At the crossover point, only ClustrixDB offers users the ability to instantly add more nodes to the cluster (see Figure P1) in order to increase throughput and keep latency low.

For high-performance and high-value workloads, ClustrixDB offers superior performance over Aurora in transactions per second and response time. And once Aurora is running on Amazon’s largest node, their ability to scale writes ends without resorting to database gymnastics like master/slave or sharding.

But ClustrixDB offers scale-out performance of both reads and writes. So we re-ran the benchmark with additional configuration (Figure P2). We ran an 8 node, 12 node, 16 node and 20 node cluster and showed how we can deliver 2x, 5x and 10x the performance of Aurora–all without modifying your enterprise applications or sharding your database.

Sysbench OLTP 9010-P2

Write performance is often the biggest bottleneck of database solutions today. Ingesting large amounts of data, instantly updating thousands of records, or converting thousands of shopping-cart items into checkout transactions are all database write-heavy activities that can bring MySQL and Aurora to their knees (and the site owners to tears).

Aurora, MySQL and other traditional SQL database products talk about scaling, but they only scale a portion of the workload—they only scale database reads.

ClustrixDB is the only MySQL drop-in replacement that scales both reads and writes. It is a “shared-nothing architecture” solution that permits ClustrixDB performance to scale the database in a near-linear fashion from 3 nodes to 50 or more, appearing as a single database image. Each additional node in a cluster adds more capacity and performance.

Sharding, read slaves or any of the other complicated SQL workarounds is never required. ClustrixDB can deliver this performance because each node handles writes and reads.

ClustrixDB is the only drop-in replacement for MySQL that can scale-out both reads and writes by increasing the number of nodes in the cluster. With ClustrixDB you can get 10x the maximum performance of Aurora (or MySQL) without read slaves, sharding or modifying your enterprise applications.

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