Scalegrid
AUGUST 26, 2020
Microsoft Azure is one of the most popular cloud providers in the world, and a natural fit for database hosting on applications leveraging Microsoft across their infrastructure. MySQL is the number one open source database that’s commonly hosted through Azure instances. We measure latency in ms 95th percentile latency.
High Scalability
SEPTEMBER 1, 2020
Microsoft Azure is one of the most popular cloud providers in the world, and a natural fit for database hosting on applications leveraging Microsoft across their infrastructure. MySQL is the number one open source database that’s commonly hosted through Azure instances. We measure latency in ms 95th percentile latency.
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Scalegrid
NOVEMBER 26, 2020
Redis is an advanced key-value store. In fact, it is the number one key value store and eighth most popular database in the world. It has high throughput and runs from memory, but also has the ability to persist data on disk. Redis is a great caching solution for highly demanding applications, and there are […].
Scalegrid
MARCH 22, 2024
They can also bolster uptime and limit latency issues or potential downtimes. Establishing clear service-level agreements is key as they outline specific responsibilities and performance benchmarks expected from cloud service providers during disaster recovery scenarios.
VoltDB
JUNE 1, 2017
In addition, such custom systems could only be benchmarked once they were deployed, so by the time multiple layers of management had each added a 50% safety margin to the initial SWAG , it was not unusual to see them running at 10% of capacity (but 150% of the lucky hardware salesman’s annual quota). The “Public Private Cloud” folks.
Scalegrid
NOVEMBER 25, 2019
ScyllaDB offers significantly lower latency which allows you to process a high volume of data with minimal delay. In fact, according to ScyllaDB’s performance benchmark report, their 99.9 percentile latency is up to 11X better than Cassandra on AWS EC2 bare metal. Azure followed in third place representing 17.4%
VoltDB
JUNE 1, 2017
In addition, such custom systems could only be benchmarked once they were deployed, so by the time multiple layers of management had each added a 50% safety margin to the initial SWAG , it was not unusual to see them running at 10% of capacity (but 150% of the lucky hardware salesman’s annual quota). The “Public Private Cloud” folks.
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