Documentation Index
Fetch the complete documentation index at: https://docs.chronosphere.io/llms.txt
Use this file to discover all available pages before exploring further.
Datadog is a metrics platform that uses a proprietary query language to aggregate
and visualize data.
Learn more about:
The following sections are an approximate mapping between Datadog functions and
operators, and those used in PromQL. In some cases, more than one PromQL function is
mapped to a single Datadog function. When PromQL has more than one related function
in the table, one of the options might be a better match for what the user needs a
query to accomplish.
For example, the Datadog function abs(), when translated to a PromQL query,
might match abs(), absent(), or absent_over_time() depending on the query.
Rollups
Datadog uses rollups to aggregate data points in a single time series, and are applied
using the .rollup() function. With Chronosphere, rollups can be
defined only on ingest, and not at query time.
However, PromQL offers a
set of functions
that lets you aggregate individual time series over time.
Functions
| Datadog | PromQL | Notes |
|---|
abs() | abs() | none |
| absent() | none |
| absent_over_time() | none |
round() | ceil() | Datadog rounds to the nearest integer. |
| changes() | none |
ceil() | clamp_max() | none |
floor() | clamp_min() | none |
| day_of_month() | none |
| day_of_week() | none |
| days_in_month() | none |
diff() | delta() | diff() returns value difference between points. delta() requires specified first and last point in query. |
derivative() | deriv() | Use deriv() only with gauges. |
| exp() | none |
round() | round() | Datadog rounds to the nearest integer. |
p50, p75, p90, p95, p99 | histogram_quantile() | PromQL needs specified percentile. Datadog is hard coded. |
autosmooth() | holt_winters() | autosmooth() is dynamic. holt_winters() has you specify smooth and trend factors. |
| hour() | none |
| idelta() | none |
| increase() | none |
| irate() | none |
| label_join() | none |
| label_replace() | none |
exp() | ln() | none |
log2() | log2() | none |
log10() | log10() | none |
| minute() | none |
| month() | none |
| predict_linear() | none |
per_second() | rate() | none |
| resets() | none |
| floor() | none |
| scalar() | none |
| sort() | none |
| sort_desc() | none |
| sqrt() | none |
| time() | none |
| timestamp() | none |
| vector() | none |
| year() | none |
Time functions
| Datadog | PromQL | Notes |
|---|
avg_5min(), avg_10min, avg_30min(), avg_hourly(), avg_daily() | avg_over_time() | PromQL needs specified interval. Datadog is coded. |
avg_daily() | N/A | none |
| N/A | min_over_time() | none |
| N/A | max_over_time() | none |
sumsum() | sum_over_time() | none |
| N/A | count_over_time() | none |
| N/A | quantile_over_time() | none |
| N/A | stddev_over_time() | none |
| N/A | stdvar_over_time() | none |
Aggregations
| Datadog | PromQL | Notes |
|---|
sum() | sum() | none |
min() | min() | none |
max() | max() | none |
avg() | avg() | none |
| N/A | group() | none |
| N/A | stddev() | none |
| N/A | stdvar() | none |
count() | count() | none |
| N/A | count_values() | none |
| N/A | bottomk() | none |
| N/A | topk() | none |
| N/A | quantile() | none |
Binary operators
| Datadog | PromQL | Notes |
|---|
| none | == | none |
| none | != | none |
| none | > | none |
| none | < | none |
| none | >= | none |
| none | <= | none |
Boolean operations
| Datadog | PromQL | Notes |
|---|
and | and | Intersection |
or | or | Union |
not | unless | Complement |
in | N/A | none |
not in | N/A | none |
! | N/A | none |
Operations
| Datadog | PromQL | Notes |
|---|
+ | + | none |
- | - | none |
* | * | none |
/ | / | none |
% | % | none |
^ | ^ | none |
