diff --git a/docs/data-model.md b/docs/data-model.md
index bababdd34..91d9de0db 100644
--- a/docs/data-model.md
+++ b/docs/data-model.md
@@ -26,7 +26,7 @@ Pilosa lays out data first in rows, so queries which get all the set bits in one
 
 Please note that Pilosa is most performant when row and column IDs are sequential starting from 0. You can deviate from this to some degree, but setting a bit with column ID 2<sup>63</sup> on a single-node cluster, for example, will not work well due to memory limitations.
 
-![basic data model diagram](/img/docs/data-model.svg)
+![basic data model diagram](/img/docs/data-model.png)
 *Basic data model diagram*
 
 ### Index
@@ -89,14 +89,14 @@ This is one major component of Pilosa's ability to combine relationships from mu
 
 Ranked Fields maintain a sorted cache of column counts by Row ID (yielding the top rows by columns with a bit set in each). This cache facilitates the TopN query. The cache size defaults to 50,000 and can be set at Field creation.
 
-![ranked field diagram](/img/docs/field-ranked.svg)
+![ranked field diagram](/img/docs/field-ranked.png)
 *Ranked field diagram*
 
 #### LRU
 
 The LRU cache maintains the most recently accessed Rows.
 
-![lru field diagram](/img/docs/field-lru.svg)
+![lru field diagram](/img/docs/field-lru.png)
 *LRU field diagram*
 
 ### Time Quantum
@@ -161,7 +161,7 @@ Set(2, B=1)
 Set(3, B=6)
 ```
 
-![BSI field diagram](/img/docs/field-bsi.svg)
+![BSI field diagram](/img/docs/field-bsi.png)
 *BSI field diagram*
 
 Check out this [blog post](/blog/range-encoded-bitmaps/) for some more details about BSI in Pilosa.
@@ -186,7 +186,7 @@ Set(3, A=8, 2017-05-18T00:00)
 Set(3, A=8, 2017-05-19T00:00)
 ```
 
-![time quantum field diagram](/img/docs/field-time-quantum.svg)
+![time quantum field diagram](/img/docs/field-time-quantum.png)
 *Time quantum fueld diagram*
 
 #### Mutex