When IT experts consider high availability infrastructure for mission-critical services, their minds often leap to Oracle as the preeminent service provider. But Oracle's database was designed in a pre-cloud world. As a cloud native database, CockroachDB introduces a new way of providing always-on availability, strong data consistency, and distributed performance.
This updated report includes the reproduction steps to our Cloud Report findings in which we benchmakred AWS and GCP. These steps allow for copy-paste reproduction of our process to empower you to check our work.
Customers rely on us to help navigate the complexities of the increasingly competitive cloud wars. This inspired the 2018 Cloud Computing Report, where we benchmark performance, latency, CPU, network, I/O, and cost of AWS and GCP.
CockroachDB 2.1 is 50x more scalable than Amazon Aurora at less than 2% of the price per tpmC. Read on to see performance benchmarks of CockroachDB 2.1, including the latest TPC-C results.
CockroachDB achieves high OLTP performance of 128,000 tpmC on a 2 terabyte TPC-C dataset in size. This is 10x more TPC-C throughput than Aurora.
Since our 1.0 release, we have been hard at work making CockroachDB 2.0 the database that enables a company’s data layer to evolve with their business -- whether they are in a single datacenter or expanding around the world.
Learn which performance metrics matter, why to demand benchmark TPC-C results under serializable isolation, and how CockroachDB 2.0’s performance compares to 1.1.
This blog post discusses using multi-row DMLs, their performance benefits, and the effect of compounding database and application parallelism.
CockroachDB minimizes latency and provides exceptional reliability using “follow-the-workload” to improve performance and provide control for DBA’s.
New syntax permitting the parallel execution of transactional SQL statements to batch the execution of independent statements and exploit inter-statement parallelism.