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| author | Jan-Erik Rediger <janerik@fnordig.de> | 2015-04-28 15:21:11 +0200 |
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| committer | Jan-Erik Rediger <janerik@fnordig.de> | 2015-04-28 15:21:11 +0200 |
| commit | fb53288110b6a55802999a1e9f036abefc02e01d (patch) | |
| tree | 74e61b90bda8309c24352e0ed2ffe54d222d661b | |
| parent | 3ff49afff1bf9b0d84d8ad53fb2d6b9b5d4b039c (diff) | |
| download | redis-fb53288110b6a55802999a1e9f036abefc02e01d.tar.gz | |
One more small fix
| -rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -11,7 +11,7 @@ Data structures implemented into Redis have a few special properties: * Implementation of data structures stress on memory efficiency, so data structures inside Redis will likely use less memory compared to the same data structure modeled using an high level programming language. * Redis offers a number of features that are natural to find in a database, like replication, tunable levels of durability, cluster, high availability. -Another good example is to think at Redis as a more complex version of memcached, where the operations are not just SETs and GETs, but operations to work with complex data types like Lists, Sets, ordered data structures, and so forth. +Another good example is to think of Redis as a more complex version of memcached, where the operations are not just SETs and GETs, but operations to work with complex data types like Lists, Sets, ordered data structures, and so forth. If you want to know more, this is a list of selected starting points: |