Loggly is a cloud-based log management service provider. It does not require the use of proprietary software agents to collect log data. The service uses open source technologies, including ElasticSearch, Apache Lucene 4 and Apache Kafka.
$79
per month/billed annually
Workday Prism Analytics
Score 7.1 out of 10
N/A
Workday Prism Analytics is a scalable data hub that enables Finance and HR to securely ingest, blend, and transform high volumes of data from any source—integrated with Workday’s people and financial data. Prism Analytics powers deeper insights across Workday HCM, Financials, and Adaptive Planning, helping teams make smarter decisions without heavy IT reliance. Built on a high-performance Spark engine with machine learning-based resource management, multi-cloud support, and a tables-based…
N/A
Pricing
SolarWinds Loggly
Workday Prism Analytics
Editions & Modules
Standard
$79
per month/billed annually
Pro
$159
per month/billed annually
Enterprise
$279
per month/billed annually
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Offerings
Pricing Offerings
SolarWinds Loggly
Workday Prism Analytics
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Free trial for Standard and Pro plans for 14 days with all features.
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More Pricing Information
Community Pulse
SolarWinds Loggly
Workday Prism Analytics
Features
SolarWinds Loggly
Workday Prism Analytics
Workforce Analytics
Comparison of Workforce Analytics features of Product A and Product B
SolarWinds Loggly is great for capturing and organizing logs from 3rd party sources such as NGINX. Without SolarWinds Loggly it's really difficult to manage the logs overtime, find traffic patterns, and identify issues before they become a problem. Anyone who is routinely searching through massive log files could quickly benefit from the SolarWinds Loggly and it's capabilities.
In my organization, we mainly use Workday Prism Analytics in HR and Finance departments. It not only enables us to make data-centric decisions but also helps reduce the need for data experts since we are able to visualize data on our own through self-service analytics.
Putting our logs in one place and making them searchable. We use AWS, and CloudWatch has always been a little frustrating in this regard (though it has gotten better recently).
Deriving metrics from our logs. I think log-based metrics is such a good idea because your logs are the ultimate source for truth in regards to what the hell is going on inside your app. I have really loved the simplicity with which I can just count certain statements and call that a metric because just through the normal course of development certain log statements just naturally become a straightforward recording of an event having occurred.
Alerts. I actually have a few complaints about email alerts, but just the way I was able to set them up so easily has been huge. Since we started using Loggly, there have been at least 3 bugs that Loggly exposed that were frankly very bad. And withoutt Loggly or without a user reporting them, we would have never known they were happening! This is stuff I tried to set up in CloudWatch in various ways, but because of my own ignorance or perhaps the complexity/limitations of CloudWatch (or the complexity of my stack?), I wasn't getting the information that I needed until I was able to just tell Loggly to send me an email whenever the word "error" showed up.
It's web based. No need to install any desktop clients on your machine to use platfora.
It's best suited for a big data Hadoop environment. I can rate it as the #1 BI tool for a big data hadoop environment.
Platfora follows kind of the same architecture as Hadoop architecture like Master and Slave architecture. It scales with the data volumes.
Querying data is very good and very fast. (Platfora Lens)
Client presentation wise it's good. You can get different kinds of graphs.
Platfora almost supports everything on Big Data technologies including file formats, compression etc.
Security is not compromised and it can deal in parallel with any Hadoop distributor security implementations. Just take an example of Knox on Hortonworks, so it will deal with that and cloudera , MapR
Its very easily understandable and for the new people who wants to try platfora, learning curve is low
You can create your own datasets in platfora. You can store your results as a dataset in platfora and can share across
We have to use a log aggregating device to ship our logs to Loggly as our network devices can not connect on an encrypted protocol. I would prefer if we could use some sort of VPN-based connector to ship logs securely.
Sometimes when drilled down, it can be difficult to fully reset a search term to back all the way out of a drill down.
Loggly's easy setup, very good customer support, and intuitive interface make Loggly very easy to use. User access management is also very easy as we can tailor the experience for each of our developers to access the information they need without having to wade through other information. While there was a slight learning curve in how to view the logs the way some specifically wanted, everything was possible and quite easy to do.
The support team have been great when we have logged tickets or had issues, most of the time it is down to user training, however we have had a couple of bugs that they have been able to iron out for us.
We were using Zabbix. While it is an open-source solution that you can install for free the following things were limitations of the solution. 1) The scale and uptime of the solution are now your own problem. Since we were hosting at AWS this meant we still had a cost of the AWS solution. 2) The product is complicated from a configuration standpoint. In order to get anything meaningful out of it, you had to invest a lot of time and effort. We did consider NewRelic. I have experience with that product and do think that it is a solid alternative. Ultimately experience with the simplicity and speed of deployment with Loggly encouraged me to suggest using this again.
Both are great products. The advantage of SAP Workforce Analytics is that it's widely interoperable between different APIs and databases. Having said that, Workday Prism Analytics scores much better in user-friendliness and the learning curve for the teams to start using it is very low. If Workday enhances its APIs functionality, it can compete easily with SAP Workforce Analytics.
Unfortunately, we hit our logging cap on a weekly basis and we lose logs after that.
We have lost logs after hitting the maximum during service outages. We have become accustomed to not being able to rely on having them, then things go poorly.