DataSet (by SentinelOne) Reviews & Product Details

We use Scalyr for our logging and error alerting. It is very fast to ingest and query data, it's UI is easy enough to use and its cost is much better than most others.

Integrating Scalyr with both the server and client was reasonably straightforward. Most competitors have delays in ingestion, slower queries and/or much higher prices.

We are very happy with it so far. Review collected by and hosted on G2.com.

Would love to have longer storage duration by default, but not complaining too much since compared to the competition it is really good. Review collected by and hosted on G2.com.

When the search range is small (4 hours), Scalyr is pretty fast on any query I throw at it. It is also useful for 24 hour graphs that go on our dashboards. I often have my local environment go into Scalyr to observe (with finer logging granularity) what is going on during development. I can also easily compare with production's logs for example inputs and expected (but sometimes truncated) outputs.

Most of our logs are discrete log events submitted through the scalyr API, not by parsing STDOUT. But we have STDOUT based logs from containerized projects and for AWS integrations. We use scalyr's lambda to import logs dumped into an S3 bucket from cloudfront for certain resources. Review collected by and hosted on G2.com.

The dashboards could use some more attention for always on status-wall use. It would be nice if individual logs could be linked to by a unique "error ID" so to say, right now we have a search query link that has to search the whole 30 day range and sometimes times out.

We've tried to do search-integrations for admin pages by using the scalyr's java API, but if any part of the query is bad, we get a useless "server returned 400" type of exception. Internally their web API is giving a useful response, but stepping into their library is not a good use of my time. Review collected by and hosted on G2.com.

Scalyr offers support for a variety of protocols and data sources to be aggregated together quite easily. The agent is quick and offers solid performance even under a lot of load. It also has a lot of plugins and can even accept custom-developed plugins.

The UI allows for the flexibility of searching on whatever fields are being input, which is convenient for mixed streams. The service handles a large amount of data very well and is very configurable on parsing, with a syntax that makes sense and is easy to use. It even has a built-in parsing tester that is extremely convenient. Everything in the UI also feels very snappy and quick compared to other services, even when generating massive graphs.

When there's issues with the service, they are well communicated and usually brief. Review collected by and hosted on G2.com.

Scalyr definitely feels like a new product, with rough edges and some limitations that I hope are going to be worked around soon.

Graph creation is difficult and a little limited, the syntax is strange. Alarms are similarly a little awkward to put together at first.

I've had trouble with the Docker integration when used with Swarm. It doesn't seem to work unless I tie it together manually using Syslog.

A few areas have a little bit of a confusing GUI flow, between JSON files and normal UI.

The aggregation of fields and their "most common occurrences" can be sometimes frustrating when I want to search for entries that have occurred very few times, but this can usually be worked around.

Support has sometimes been slow to respond or keep up on support requests.

Graphs are sometimes "spiky", due to a mismatch between log pickup periods and log display periods. If you see this, set your graphs to a bar with a 5-minute period or more. Review collected by and hosted on G2.com.

I like that I can aggregate logs from multiple servers in one place. Setting up the Scalyr agent is really easy on your servers with minimal configurations. Scalyr is inexpensive compared to similar services on the market. I do like that the Scalyr team is continually striving to improve their product and have set up a few meetings with our engineers to investigate how we use Scalyr. Review collected by and hosted on G2.com.

Not enough filtering options on log types from specific log servers. When we switch to "original log" view, the original query gets lost. The search queries aren't that intuitive and chaining queries is not an option. Review collected by and hosted on G2.com.

- Intuitive interface

- Fast searching

- Good filtering ability via queries Review collected by and hosted on G2.com.

- No API for client-side logging (like JS logs)

- Screen updates after applying filters don't work well in Safari Review collected by and hosted on G2.com.

Fastness of the UI and the filtering experience, easy to filter and visualize the results (logs) by host. Review collected by and hosted on G2.com.

Tool outside of our organization that we can't (or won't for security purposes) plug to some of our internal services. Review collected by and hosted on G2.com.

It aggregates all the logs from different server instances and provides a combined view for those logs. It provides a cloud solution for storage and simple but powerful query for investigating logs straightforward diagrams and world-class alert system. Review collected by and hosted on G2.com.

Um... this is a hard one for me, so far I feel great for it. Review collected by and hosted on G2.com.

Simple set up allowed for quick evaluation and testing of the product. Implementation on production systems was just as quick and easy as the POC. Review collected by and hosted on G2.com.

Nothing really to dislike, but more integrations would be nice. Review collected by and hosted on G2.com.

The web interface is the clear front-runner, you can easily select a period in time and view all logs (or only certain hosts) that fit that time period. The amount of customizability is amazing and you can even set complex alerts. We have an alert set to where if a certain error is logged x amount of times in 5 minutes, to send an email alert. The agent is easy to install and you can really put ANY log you want into Scalyr, the server monitoring is also useful, although not as nice as New Relic's infrastructure service, but hey it's basically free given that the log management is the real product.

This product essentially fills the gap New Relic leaves, New Relic's APM is second to none, but you can't browse logs like you can with Scalyr. Until New Relic offers up a log management/searching feature you really can't beat Scalyr. Review collected by and hosted on G2.com.

It's a bit pricey, but understandably so given the niche market they have. For $105/month you get up to 3GB of logs everyday with 3 day retention. Longer retention jumps the price up, so this is really a solution for real-time or near present analyzing. Review collected by and hosted on G2.com.

Scalyr is a super-fast, affordable and easy to use log management system.

The most critical thing for me is that it's really easy to send logs, categorise, label and filter them, and the resulting search is incredibly fast. You can define patterns that match your logs as they are ingested and Scalyr extracts fields form them and allows you a powerful search interface onto them, as well as providing graphing and analytics.

It's really easy to answer questions such as "how many of our requests to the users controller hit the memory cache" just by writing a search that includes those fields and drawing a graph, and you get the results back instantly.

The product is also very affordable compared to some other offerings. Review collected by and hosted on G2.com.

The graphing tools can be a little bit clunky and they are occasionally a bit more rudimentary than I'd like. It's more suited to search and analysis rather than a live dashboard. Review collected by and hosted on G2.com.