UpCloud Balanced (2 GB, 2 Cores) vs. Vultr Cloud Compute (4 GB, 2 Cores)

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Fresh benchmarks coming at ya. Today I've spun up some brand new instance from UpCloud and Vultr and ran my world famous suite of benchmarking scripts. All instances were spun up with Ubuntu 24.04 LTS x64 and all resided in or around the New York / New Jersey area. Let's get into the numbers.

Overview

UpCloud – Balanced (2 GB, 2 Cores) Vultr – Cloud Compute (4 GB, 2 Cores)
Last Benchmarked Thu, 11 Jun 2026 07:00:52 GMT Thu, 11 Jun 2026 09:00:52 GMT
Linux Distro Ubuntu 24.04 LTS x64 Ubuntu 24.04 LTS x64
Kernel Version 6.8.0-111-generic 6.8.0-124-generic
MySQL Version 8.0.46-0ubuntu0.24.04.2 8.0.46-0ubuntu0.24.04.2
Redis Version 7.0.15 7.0.15
Location New York, NY Newark, NJ
Monthly Price €18.00 $20.00
RAM (GB) 2 4
CPU Cores 2 2
Storage (TB) 60 80
Storage Type SSD SSD
Transfer (TB) 3 3

CPU

UpCloud – Balanced (2 GB, 2 Cores) Vultr – Cloud Compute (4 GB, 2 Cores)
Vendor AuthenticAMD GenuineIntel
Model Name AMD EPYC 9575F 64-Core Processor Intel Xeon Processor (Skylake, IBRS)
Clock Speed (MHz) 3,295.42 2,593.91
CPU Cache Size (KB) 512.00 16,384.00
BogoMips 6,590.84 5,187.81
Events per Second 5,295.68 1,022.39
Minimum Latency (ms) 0.17 0.88
Average Latency (ms) 0.19 0.98
Maximum Latency (ms) 1.89 1.77
95th Percentile Latency (ms) 0.21 1.21

Memory

Memory Read

UpCloud – Balanced (2 GB, 2 Cores) Vultr – Cloud Compute (4 GB, 2 Cores)
Operations per second 7,546,419.66 3,523,809.57
Mebibytes per second 7,369.55 3,441.22
Minimum Latency (ms) 0 0
Average Latency (ms) 0 0
Maximum Latency (ms) 0.11 0.22
95th Percentile Latency (ms) 0 0

Memory Write

UpCloud – Balanced (2 GB, 2 Cores) Vultr – Cloud Compute (4 GB, 2 Cores)
Operations per second 7,498,404.63 3,568,203.77
Mebibytes per second 7,322.66 3,484.57
Minimum Latency (ms) 0 0
Average Latency (ms) 0 0
Maximum Latency (ms) 0.07 1.02
95th Percentile Latency (ms) 0 0

File I/O

UpCloud – Balanced (2 GB, 2 Cores) Vultr – Cloud Compute (4 GB, 2 Cores)
Reads per Second 5,183.60 2,972.63
Writes per Second 3,455.73 1,981.75
Fsyncs per Second 11,067.94 6,347.81
Read Mebibytes per Second 80.99 46.45
Written Mebibytes per Second 54.00 30.96
Minimum Latency (ms) 0 0
Average Latency (ms) 0.05 0.09
Maximum Latency (ms) 24.16 17.12
95th Percentile Latency (ms) 0.19 0.33

Mutex

UpCloud – Balanced (2 GB, 2 Cores) Vultr – Cloud Compute (4 GB, 2 Cores)
Minimum Latency (ms) 536.51 899.28
Average Latency (ms) 604.46 935.93
Maximum Latency (ms) 641.10 969.92
95th Percentile Latency (ms) 646.19 977.74

MySQL

MySQL Read-only

UpCloud – Balanced (2 GB, 2 Cores) Vultr – Cloud Compute (4 GB, 2 Cores)
Transactions per second 18,368.00 3,779.00
Queries per second 183,680.00 37,790.00
Minimum Latency (ms) 0.34 1.84
Average Latency (ms) 0.54 2.64
Maximum Latency (ms) 3.15 24.55
95th Percentile Latency (ms) 0.7 3.82

MySQL Write-only

UpCloud – Balanced (2 GB, 2 Cores) Vultr – Cloud Compute (4 GB, 2 Cores)
Transactions per second 7,644.00 4,044.00
Queries per second 76,440.00 40,440.00
Minimum Latency (ms) 0.62 1.4
Average Latency (ms) 1.31 2.47
Maximum Latency (ms) 49.11 13.46
95th Percentile Latency (ms) 1.82 3.3

MySQL Read/Write

UpCloud – Balanced (2 GB, 2 Cores) Vultr – Cloud Compute (4 GB, 2 Cores)
Transactions per second 4,858.00 1,798.00
Queries per second 48,580.00 17,980.00
Minimum Latency (ms) 1.08 3.86
Average Latency (ms) 2.06 5.56
Maximum Latency (ms) 26.75 27.33
95th Percentile Latency (ms) 2.81 6.91

MySQL INSERT

UpCloud – Balanced (2 GB, 2 Cores) Vultr – Cloud Compute (4 GB, 2 Cores)
Transactions per second 9,866.00 6,405.00
Queries per second 98,660.00 64,050.00
Minimum Latency (ms) 0.42 0.99
Average Latency (ms) 1.01 1.56
Maximum Latency (ms) 49.8 15.15
95th Percentile Latency (ms) 1.44 2.03

MySQL Bulk INSERT

UpCloud – Balanced (2 GB, 2 Cores) Vultr – Cloud Compute (4 GB, 2 Cores)
Transactions per second 3,035,967.00 865,805.00
Queries per second 30,359,670.00 8,658,050.00
Minimum Latency (ms) 0 0
Average Latency (ms) 0 0.01
Maximum Latency (ms) 217.71 538.25
95th Percentile Latency (ms) 0 0

MySQL SELECT

UpCloud – Balanced (2 GB, 2 Cores) Vultr – Cloud Compute (4 GB, 2 Cores)
Transactions per second 574,196.00 126,618.00
Queries per second 5,741,960.00 1,266,180.00
Minimum Latency (ms) 0.01 0.05
Average Latency (ms) 0.02 0.08
Maximum Latency (ms) 0.48 2.46
95th Percentile Latency (ms) 0.03 0.11

MySQL SELECT (Random Points)

UpCloud – Balanced (2 GB, 2 Cores) Vultr – Cloud Compute (4 GB, 2 Cores)
Transactions per second 14,389.00 3,674.00
Queries per second 143,890.00 36,740.00
Minimum Latency (ms) 0.22 1.07
Average Latency (ms) 0.69 2.72
Maximum Latency (ms) 3.75 6.45
95th Percentile Latency (ms) 1.06 3.55

MySQL SELECT (Random Ranges)

UpCloud – Balanced (2 GB, 2 Cores) Vultr – Cloud Compute (4 GB, 2 Cores)
Transactions per second 16,063.00 2,728.00
Queries per second 160,630.00 27,280.00
Minimum Latency (ms) 0.18 1.3
Average Latency (ms) 0.62 3.66
Maximum Latency (ms) 1.3 11.85
95th Percentile Latency (ms) 0.9 5

MySQL UPDATE (Indexed)

UpCloud – Balanced (2 GB, 2 Cores) Vultr – Cloud Compute (4 GB, 2 Cores)
Transactions per second 9,173.00 5,438.00
Queries per second 91,730.00 54,380.00
Minimum Latency (ms) 0.43 0.99
Average Latency (ms) 1.09 1.84
Maximum Latency (ms) 84.91 13.86
95th Percentile Latency (ms) 1.52 2.71

MySQL UPDATE (Non-Indexed)

UpCloud – Balanced (2 GB, 2 Cores) Vultr – Cloud Compute (4 GB, 2 Cores)
Transactions per second 9,191.00 6,370.00
Queries per second 91,910.00 63,700.00
Minimum Latency (ms) 0.44 1.01
Average Latency (ms) 1.09 1.57
Maximum Latency (ms) 29.77 8.99
95th Percentile Latency (ms) 1.52 2.07

MySQL DELETE

UpCloud – Balanced (2 GB, 2 Cores) Vultr – Cloud Compute (4 GB, 2 Cores)
Transactions per second 248,823.00 51,180.00
Queries per second 2,488,230.00 511,800.00
Minimum Latency (ms) 0.01 0.05
Average Latency (ms) 0.04 0.19
Maximum Latency (ms) 43.03 6.11
95th Percentile Latency (ms) 0.04 1.39

Redis

UpCloud – Balanced (2 GB, 2 Cores) Vultr – Cloud Compute (4 GB, 2 Cores)
PING_INLINE per Second 123,152.71 49,677.10
PING_MBULK per Second 118,483.41 45,372.05
SET per Second 124,843.95 45,392.64
GET per Second 107,411.38 53,163.21
INCR per Second 123,456.79 48,732.94
LPUSH per Second 120,481.93 50,327.12
RPUSH per Second 124,533.01 48,285.85
LPOP per Second 125,470.52 48,355.90
RPOP per Second 129,366.11 51,413.88
SADD per Second 127,064.80 48,332.53
HSET per Second 128,700.12 49,285.36
SPOP per Second 125,786.16 48,332.53
ZADD per Second 150,602.42 51,229.51
ZPOPMIN per Second 251,256.28 45,085.66
LRANGE_100 (first 100 elements) per Second 147,275.41 27,122.32
LRANGE_300 (first 300 elements) per Second 65,104.17 12,442.45
LRANGE_500 (first 500 elements) per Second 40,933.28 7,930.21
LRANGE_600 (first 600 elements) per Second 35,536.61 6,902.74
MSET (10 keys) per Second 120,048.02 45,146.73

Redis Average Latency (ms)

UpCloud – Balanced (2 GB, 2 Cores) Vultr – Cloud Compute (4 GB, 2 Cores)
PING_INLINE0.230.53
PING_MBULK0.230.57
SET0.220.57
GET0.250.49
INCR0.220.53
LPUSH0.230.51
RPUSH0.220.54
LPOP0.220.54
RPOP0.220.52
SADD0.210.55
HSET0.210.54
SPOP0.210.54
ZADD0.180.52
ZPOPMIN0.110.57
LRANGE_100 (first 100 elements)0.241.02
LRANGE_300 (first 300 elements)0.492.29
LRANGE_500 (first 500 elements)0.773.27
LRANGE_600 (first 600 elements)0.933.91
MSET (10 keys)0.270.78

Conclusion

From the friendly robots:

Comparing the benchmarks for the UpCloud and Vultr instances reveals significant differences in performance across various metrics. The UpCloud Balanced instance with 2 CPU cores and 2 GB RAM outperforms the Vultr Cloud Compute instance with 2 CPU cores and 4 GB RAM in several areas, including Redis operations (e.g., higher requests per second with lower latencies), MySQL OLTP operations (better throughput and lower latencies), and file I/O operations (faster read and write speeds). Despite having less RAM, the UpCloud instance handles memory operations more efficiently. Conversely, the Vultr instance has higher thread latencies and overall CPU performance metrics. For CPU-intensive and memory-demanding workloads, the UpCloud instance is more suitable, while the Vultr instance might be preferable for applications that require more RAM and less emphasis on raw computational performance.

From the friendly human:

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