When comparing jKool vs Timber, the Slant community recommends Timber for most people. In the question“What are the best log management, aggregation & monitoring tools?” Timber is ranked 35th while jKool is ranked 37th. The most important reason people chose Timber is:
The Timber interface stands out in the space: 1. It's beautiful, easy, and modern. 2. It's fast. It uses advanced front-end technologies to maximize performance and usability (react, redux, etc).
Ranked in these QuestionsQuestion Ranking
Pro Subscriptions to real-time updates
Subscriptions to real-time updates from infrastructure systems gives users proactive detection of application anomalies, as well as performance, availability and capacity issues. This enables users to capture perishable insights into application issues that they would normally miss.
Pro Offers free option
JKool offers free option limited by daily data volume and retention. Easy to sign up and try. No commitment or credit card required to signup.
Pro Simple English-like query language
jKool uses JKQL (english like query language) to search real-time and historical events, metrics and transaction streams. It includes verbs like GET, SUBSCRIBE, COMPARE, etc. Compare allows comparison of events, activities and metrics.
Pro Open source connectors
jKool offers open source connectors available hosted on GitHub: syslog, log4j, slf4j, logback, jmx, Spark, HDFS, JMS, MQTT, Logstash etc.
Pro Analyze logs: syslog, log4j, logback and others
You can use the jKool log collectors to stream syslogs and other logs to a jKool and be able to view and analyze your logs in a graphical oriented way. jKool can show error rates, anomalies, exceptions, groups, time buckets, time windows, aggregations and apply math functions across all your logs.
Pro Supports Logstash as a datasource
jKool can consume incoming streams directly from Logstash. Combine Logstash with other streams to deliver a unified application view. Logstash integration is open source.
Pro True multi-tenancy
Supports concepts of data repositories, organizations, teams and users which allows logical data separation and access control.
Pro Real-time search
Search for events, transcations, metrics streams in real-time before data is indexed.
Pro Automatic anomaly detection
Helps to proactively detect potential anomalous behavior and prevent problems from occurring.
Pro Unique Visualization
Visualization is generated dynamically based on a data query as opposed to the typical canned views that have nothing to do with the specific query.
Pro More than log analyzer
jKool does much more than just log analysis. Examples: end-user monitoring, application performance, transaction tracking, business metrics and IoT. Developers can use APIs (java, REST) to build extensions for streaming, visualization. jKool provides a unified model for all time series machine data.
Pro Simple, easy to use, great UI
There are really only 2 things a user needs to do to show charts, graphs: 1) create a dashboard 2) Create viewlets. Each viewlets is bound with a JQKL query. JQKL queries can be typed in or built via a query builder for beginners. Pretty easy to get up and running without learning JQKL. There is also a UI tutorial once you logon to jKool.
Pro Self service dashboard for users with different responsibilities.
Provides situational awareness to users from their own perspective. The benefits are translated to reduction of support calls and visibility for each user, from their own angles into root causes of problems within a couple of clicks.
Pro Unified analytics support
Combines analytics for events, metrics (name, value pairs) and transactions with real-time and historical analytics in a single platform.
Pro Transaction Tracking & Discovery
jKool is able to automatically connect/stitch multiple events coming from multiple sources into a business transaction(s), measure performance, completion, progress. Transactions can be grouped into user defined sets (payment, claims, etc).
Pro Simple model: Stream Data->Run Queries->Analyze
Easy to use cloud based log and application analytics supporting standards such as Syslog, log4j, log files, end-user monitoring, transaction tracking. No schemas to define, agentless, no servers or storage to setup. Provides true transaction stitching and analytics -- track all transactions, 100% of the time. On-premise and cloud based (docker support available).
Pro Beautiful, modern, easy interface
The Timber interface stands out in the space:
- It's beautiful, easy, and modern.
- It's fast. It uses advanced front-end technologies to maximize performance and usability (react, redux, etc).
Pro Great search
Timber offers a really great simple search, with a support for advanced features like: term negation, condition grouping (parenthesis), regex, field searches and conditions, etc.
Pro Six month searchable retention
The retention Timber offers is exceptionally longer. The default is generally 2 - 4 weeks, Timber offers 6 months.
Pro Easy installation
Timber can be installed in < 1 min and usually with a single command. It asks your for your application details and provides 1 set of simple instructions.
Pro Automatic context & structured data
Timber provides native libraries that automatically attach metadata to your logs. They've designed a schema that defines events and context, which normalizes the data and makes querying, alerting, and graphing simple and reliable.
Pro Real-time graphing
Because Timber fully embraces structured data, graphing is simple, real time, and fast. They provide a number of aggregates you can graph on.
Pro Real-time alerts with thresholds
The alerts are real-time and the approach is thoughtful. Instead of blasting you with alerts every time it's triggered, they change the state of the alert once, notify you once, and then notify you again when the alert is no longer an issue.
Pro Simple pricing and plans. No feature matrices.
Besides the free plan, Timber doesn't impose limits on the number of users, alerts, etc. It's entirely based on the amount of data allowed for the plan. It's refreshingly straightforward.
Pro No rate limiting
Beyond the space your plan is allowed to use, there is no rate limiting.
Pro Excellent documentation
Timber's docs are detailed and thoughtful, both for the service as well as the libraries they offer.
Pro SQL query your logs (w/ join support)
Timber allows you to SQL query your logs just like you would a traditional database. The JOIN support is very powerful.
Pro Logs show up quickly
Logs show up < 3 seconds of when they are generated
Con Doesn't seem to be very popular
JKool is a relatively new tool, as such, there don't seem to be many third party guides and tutorials other than from official sources from the JKool team.
Con Not really a centralized log management tool
It only takes in events from specified "apps", not all unstructured data. And, if you select "other" (apps), it just says:
Bummer! We don't support apps of this type yet.