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Pmacct Alternatives
Similar projects and alternatives to pmacct
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TimescaleDB
An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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tsbs
Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data
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mtail
extract internal monitoring data from application logs for collection in a timeseries database
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promscale
Discontinued [DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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softflowd
softflowd: A flow-based network traffic analyser capable of Cisco NetFlow data export software.
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turnilo
Business intelligence, data exploration and visualization web application for Druid, formerly known as Swiv and Pivot
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pmacct reviews and mentions
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NetFlow-equivalent analysis for mirrored traffic
If you want a tool that can ingest from a span port and generate netflow or IPFIX there is pmacct. This should work with your existing tooling that collects netflow data.
- Looking for network traffic analysis solution
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Free netflow collector that forwards messages to a syslog server?
Your best bet is probably pmacct. I don't think this functionality is built-in per se, but it would be fairly easy to use syslog-ng or similar to read its output from file or stdout. It can also aggregate for you, if that's useful.
- How to locate device illegally downloading on network
- IPv4 vs IPv6 traffic stats
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Benchmarking: TimescaleDB vs. ClickHouse
While I'm not a current customer of Timescale, I do use the open source version of Timescale extensively, so I feel like I can summarize some of the benefits of Timescale over other TSDB's. The company is a mid size, with awkward data 4+PB unstructured data, with our Postgres cluster hosting about 20 TB of data.
The main advantage from my perspective, is that you can query across data business data and time series data with all the advantages that Postgres has. Time series data while useful on its own, becomes incredibly powerful when it can be combined with your business and production data.
A great example is our outbound network data monitoring. We use pmacct http://www.pmacct.net/ to send network flows to Postgres from our firewall, host inventory data in Postgres, and a foreign data wrapper around our LDAP data to determine user / host assignment, and from that we can correlate every data flow to the user who is assigned to the host that generated that particular flow. This makes for some pretty powerful security reporting. Outside of that, we use Timescale's hypertables in a number of places that aren't explicitly timeseries data, like syslog data, web server logs, etc. This allows for some pretty amazing reporting on log data that is timeboxed, like "give me all the 500 errors from our HTTP log that have an ip address in Finland (did I mention that we load GeoIP data into Postgres every night) in the last 3.5 hours.
Timescale is excellent on its own, and honestly competitive with other TSDB's on its own. Having access to the full Postgres ecosystem with your timeseries data makes Timescale way ahead of everyone else. My story might change when I hit the limits of what a single Postgres host can ingest, but I'm not even close to that scale yet.
Other advantages of Timescale, is having access to real SQL, you don't have to learn a new domain specific query language, you can just use SQL. This admittedly can be a double edge sword. SQL is more complicated than PromQL / InfluxQL, however that comes with quite a lot of extra capability, and the ability to transfer that knowledge into other domains.
I personally really like Timescale, and feel that regardless of anyones benchmarks, no matter how well thought out or not, the advantages outweigh the disadvantages by a pretty large margin.
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Port Mirror and GoFlow Collector
GoFlow doesn't capture raw packets, it accepts IPFIX/Netflow/sFlow. You will either need to configure your equipment to generate that flow data and send it to the goflow collector, or use an application like pacct to capture packets and generate IPFIX/Netflow data from it.
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FRRouting and IPFix/Netflow
https://github.com/pmacct/pmacct is the best exporter I've found. I can pull some old configs for pmacct if you're interested. You can either BGP peer pmacct to FRR to enrich IPFIX with ASNs or you can even instruct pmacct to read prefix to AS mappings from a file.
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Stats
pmacct/pmacct is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of pmacct is C.
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