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What is the best alternative to InfluxDB?
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Prometheus
All
10
Experiences
Pros
8
Cons
1
Specs
Top
Pro
Docker image
Available as Docker images on Quay.io or Docker Hub, read article Monitoring Containerized Application Health with Docker.
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Con
Needs configuration
Not as easy to deploy as some other tools.
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Pro
Powerful query language
The Prometheus query language allows you to slice and dice the dimensional data for ad-hoc exploration, graphing, and alerting.
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Pro
Alerting
Alerts are defined using the same powerful query language described above. A separate binary, the Alertmanager, handles alert notifications and aggregations and enables silencing by any label set. If an alert fires, Alertmanager can send an email or page you through an external alerting service like PagerDuty. Nagios plugin is also offered as a bridge from the parts that are already monitored by Prometheus to the existing Nagios alerting set-up that many companies have in place.
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Pro
Dashboards
The one-stop solution for the fanciest dashboards is PromDash, a GUI-based dashboard builder with a SQL backend. It talks to any number of Prometheus servers via an HTTP API and graphs their data in highly configurable dashboards. Even Graphite graphs can be included.
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Pro
Supported by TeamCity
TeamCity 2019.2.2 provides metrics for Prometheus.
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Pro
Scalable data collection and decentralized architecture
You can reliably monitor the many instances of your services, and independent teams can set up independent monitoring servers.
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Pro
Simplicity
You can spin up a monitoring server where and when you want, even on your local workstation, without setting up a distributed storage backend or reconfiguring the world.
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Pro
A multi-dimensional data model, so that data can be sliced and diced at will, along dimensions like instance, service, endpoint, and method.
Prometheus fundamentally stores all data as time series: streams of timestamped values belonging to the same metric and the same set of labeled dimensions. Timestamps have a millisecond resolution, while values are always 64-bit floats. The metric name specifies the general feature of a system that is measured. For example, a metric to count the total number of HTTP requests received by an API server might be called api_http_requests_total. Adding labels (key/value pairs) to this metric enables Prometheus's dimensional data model: any given combination of labels for the same metric name results in a separate time series.
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Specs
Platforms:
Windows, Linux, Mac, Cloudron, Docker
Technology:
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Experiences
Free
20
0
KairosDB
All
4
Experiences
Pros
4
Top
Pro
Open source
KairoDB is licensed under Apache License with source code available on GitHub.
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Top
Pro
Apache Cassandra provides fast, efficient, and highly reliable storage
KairosDB primary storage backend is Apache Cassandra. Cassandra is one of the biggest player in NoSQL world, supported by Datastax and used by large companies such as Netflix.
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Pro
High modularity
Extending KairosDB is very easy. Software is based on Guice modules and all parts can be extended using modules: aggregations, query engines, webservice APIs.
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Top
Pro
Multi apis
Accessible through Rest, Telnet, and Graphite.
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2
0
VictoriaMetrics
All
8
Experiences
Pros
6
Cons
2
Top
Pro
Fast and cost-effective
VictoriaMetrics requires fewer hardware resources - RAM, CPU, storage - compared to competitors. This allows for saving hardware costs.
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Top
Con
Built from scratch
It is young and it is built from scratch. This means it can contain unpolished code.
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Top
Pro
Easy to setup and operate
Just start a single binary with the minimum amount of settings.
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Top
Con
Doesn't support SQL
It supports only PromQL for querying data.
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Pro
Different protocols support
Supports metrics' scraping, ingestion and backfilling via the different protocols - see here.
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Top
Pro
Seamless integration with Prometheus+Grafana
Prometheus may be configured to write data to VictoriaMetrics. Grafana may be configured to query the data directly from VictoriaMetrics using PromQL.
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Pro
Open source
VictoriaMetrics is free and open source - see here.
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Pro
Cluster version is free and open source
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Experiences
Free
19
4
Timescaledb
All
8
Experiences
Pros
8
Top
Pro
Powered by PostgreSQL
Implemented as a PostgreSQL extension, not a fork.
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Pro
Reliable at its core
Based on PostgreSQL hence inherits PostgreSQL’s operational maturity.
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Pro
Highly available
Support for streaming data replication and robust backup / recovery.
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Pro
Enterprise-grade security
Fine-grained access control, LDAP support, encryption, and flexible authentication built-in.
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Pro
Handle high query traffic
Deploy read replicas for higher query throughput.
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Pro
Data lifecycle management
Support for efficient data retention and archiving.
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Pro
Data model freedom
Store schemas or go schema-less with JSON. Use narrow or wide tables. Stop worrying about high cardinality.
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Top
Pro
Geospatial queries
Grow your use case with PostGIS.
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Experiences
free
19
8
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