diff --git a/DESCRIPTION b/DESCRIPTION
index 43bb0fe..9687e75 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: MsBackendSql
 Title: SQL-based Mass Spectrometry Data Backend
-Version: 1.3.0
+Version: 1.3.1
 Authors@R:
     c(person(given = "Johannes", family = "Rainer",
              email = "Johannes.Rainer@eurac.edu",
diff --git a/NEWS.md b/NEWS.md
index 1325597..c164ef5 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,3 +1,10 @@
+# MsBackendSql 1.3
+
+## Changes in 1.3.1
+
+- Add description on the use/advantages of different SQL database systems to the
+  vignette.
+
 # MsBackendSql 1.1
 
 ## Changes in 1.1.5
diff --git a/vignettes/MsBackendSql.Rmd b/vignettes/MsBackendSql.Rmd
index 94236c3..d9a06bf 100644
--- a/vignettes/MsBackendSql.Rmd
+++ b/vignettes/MsBackendSql.Rmd
@@ -363,6 +363,29 @@ The `MsBackendSql` outperforms the `MsBackendMzR` while, not unexpectedly, the
 `MsBackendMemory` provides fasted access.
 
 
+## Considerations for database systems/servers
+
+The backends from the *MsBackendSql* package use standard SQL calls to retrieve
+MS data from the database and hence any SQL database system (for which an R
+package is available) is supported. SQLite-based databases would represent the
+easiest and most user friendly solution since no database server administration
+and user management is required. Indeed, performance of SQLite is very high,
+even for very large data sets. Server-based databases on the other hand have the
+advantage to enable a centralized storage and control of MS data (inclusive user
+management etc). Also, such server systems would also allow data set or
+server-specific configurations to improve performance.
+
+A comparison between a SQLite-based with a MariaDB-based *MsBackendSql* database
+for a large data set comprising over 8,000 samples and over 15,000,000 spectra
+is available
+[here](https://github.com/rformassspectrometry/MsBackendSql/issues/15). In
+brief, performance to extract data was comparable and for individual spectra
+variables even faster for the SQLite database. Only when more complex SQL
+queries were involved (combining several primary keys or data fields) the more
+advanced MariaDB database outperformed SQLite.
+
+
+
 # Other properties of the `MsBackendSql`
 
 The `MsBackendSql` backend does not support parallel processing since the