Apitally vs Gravwell
Overview
Share your Stack
Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.
CLI (Node.js)
Manual
Detailed Comparison
It is the most flexible full-stack analytics platform in the world. We excel at fusing disparate data sources such as firewall logs, end point event logs, network traffic, OT IDS logs, OT process data, threat feed data, etc. to create a central source of knowledge. Created in the IoT age we know modern data insights demand unlimited ingest and analysis capability for cybersecurity, IoT, business analytics, and more. We support a wide range of customers, from energy production, energy delivery, government, finance, and insurance to health and beauty products. | Simple API monitoring and analytics with metrics, request logs, traces, and alerts. Apitally provides opinionated dashboards that make it easy to understand API usage, monitor performance, and troubleshoot issues. It integrates with over 20 popular web frameworks in Python, JavaScript, Go, .NET and Java, and only takes a few minutes to set up. |
Ability for deployment in cloud, on-premises, or in an isolated on-premises network lacking outside network connectivity;
Capable of collecting disparate unstructured time-series data sources into a queryable data lake;
Enable data scientists to create custom analysis code/tools to be executed as part of a search pipeline or query system;
Analysts and data scientists have access to raw entry records for retroactive analysis and application of machine learning that did not exist at the time of collection;
Capable of data separation and fine-grained access controls for multi-tenancy;
Data collectors or agents are modifiable by the customer to enable processing, filtering, or enrichment before forwarding to the central store;
Massive scalability. Over 100 Terabytes a day is no problem. ;
Unlimited data ingestion;
Unlimited retention;
Live Dashboards;
Secure and Proprietary;
Offline ("Cold") and online ("Hot") replication;
Region-aware redundancy;
Multi-tenancy Permissions & Unlimited user seats;
Binary data support;
Configurable data retention and automatic age-out;
Distributed web frontends;
Unlimited search count | api monitoring, api analytics, api logging, api observability, api metrics, api request logs, api uptime, tracing, alerting |
Statistics | |
Stacks 5 | Stacks 1 |
Followers 9 | Followers 1 |
Votes 11 | Votes 1 |
Pros & Cons | |
Pros
Cons
| No community feedback yet |
What are some alternatives to Gravwell, Apitally?
Grafana
Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.
Papertrail
Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.
Kibana
Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.
Prometheus
Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
Logmatic
Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.
Loggly
It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.
Logentries
Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.
Logstash
Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.
Nagios
Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.
Netdata
Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps
