more pros and cons

Author: Karsten1987

articles/rosbags.md

@@ -112,16 +112,17 @@ One very popular framework for storing scientific data is [HDF5](https://support
 It basically has all the necessary requirements listed above such as random access, parallelism and compression.
 It is further designed for highly complex data with an extensive amount of data.
 HDF5 is open source and its source can be freely obtained from [bitbucket](https://bitbucket.hdfgroup.org/projects/HDFFV/repos/hdf5/browse) and is under a [permissive license](https://bitbucket.hdfgroup.org/projects/HDFFV/repos/hdf5/browse/COPYING) of the HDF group.
-Multiple language wrapper or bindings are available, namely c/c++, python, fortran or java.
+Multiple language wrapper or bindings are available, namely C/C++, python, fortran or java.
 
 #### Pros
 - Open Source and standard specification for file format
-- Fullfils the requirements given
+- Fulfills the requirements given
 - Multi language support
 - Large community of users
 
 #### Cons
 - Depending on a slowly developing standard
+- The table dimensions of each chunk have to be of fixed size, known at startup.
 
 There is a popular [blog post](http://cyrille.rossant.net/moving-away-hdf5/) by Cyrille Rossant, which gives a short introduction, but also discusses some controversy with HDF5.
 
@@ -145,5 +146,7 @@ It is also open source, [extensively tested](https://www.sqlite.org/testing.html
 The Gazebo team created a nicely composed [comparison](https://osrfoundation.atlassian.net/wiki/spaces/GAZ/pages/99844178/SQLite3+Proposal) between SQLite and the existing rosbag format.
 
 #### Pros
+- Table dimensions do not have to be known at startup and can be flexibly extended.
+- Ability to query the tables with classical relational SQL syntax.
 
 #### Cons