Three simple modules to analyse the time of insertion using four different Redis libraries for Java/Spring:

• Redis OM Spring
• Spring Data Redis
• Jedis

In each specific TestRunner class you can configure the number of keys to insert and the number of runs to calculate the average.

For testing, we're using the model of an Airport. It has a size of around 2kb.

Metrics

Redis OM Spring:

Before version 0.6.0

	Avg (ms)	Per Insert (ms)	Number Of Keys	Number of runs
Hash	2787	2.78	1000	10
Json	2357	2.35	1000	10

After version 0.6.0

	Avg (ms)	Per Insert (ms)	Number Of Keys	Number of runs
Hash	204	0.20	1000	10
Json	261	0.26	1000	10

Spring Data Redis

	Avg (ms)	Per Insert (ms)	Number Of Keys	Number of runs
Hash	2772	2.77	1000	10

Jedis:

	Avg (ms)	Per Insert (ms)	Number Of Keys	Number of runs
Hash Non Pipelined	609	0.60	1000	10
Hash Pipelined	18.36	0.018	1000	10
Json Pipelined	23.72	0.023	1000	10

Lettuce:

	Avg (ms)	Per Insert (ms)	Number Of Keys	Number of runs
Hash Non Pipelined	1747	1.74	1000	10
Hash Pipelined	13	0.013	1000	10