griddb
mimir
Our great sponsors
| griddb | mimir | |
|---|---|---|
| 78 | 36 | |
| 2,309 | 3,719 | |
| 1.9% | 2.7% | |
| 7.8 | 9.9 | |
| 8 days ago | 3 days ago | |
| C++ | Go | |
| GNU Affero General Public License v3.0 | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
griddb
mimir
-
Monitoring Is a Pain
It consists of 6 separate components to run, plus 4 additional optional components [1]. And I don't even count 5 additional caches [2]. How is that "simple and easy"?
[1] https://grafana.com/docs/mimir/latest/references/architectur...
[2] https://github.com/grafana/mimir/blob/9a52522a05f25d6d6bc2e8...
-
Is anyone frustrated with anything about Prometheus?
Yes, but also no. The Prometheus ecosystem already has two FOSS time-series databases that are complementary to Prometheus itself. Thanos and Mimir. Not to mention M3db, developed at Uber, and Cortex, then ancestor of Mimir. There's a bunch of others I won't mention as it would take too long.
-
Does anyone have an example of a simple mimir monolith docker compose config?
I used the one in their tutorial.
-
NTOP experience?
Grafana Agent can collect and stream data via Prometheus remote write protocol. Then you can either use Prometheus or Mimir. to receive the data at a central location. It depends on how many millions of series you need to collect.
- Prometheus node exporter and cadvisor to send metrics to central prometheus cluster
-
Thousandeyes Pricing Model
Long term storage all depends on your needs and sophistication. I use Thanos for our system since it has an extremely flexible scaling system. But there is also Grafana Mimir. They're both similar in that they use Prometheus TSDB format as part of the underlying storage. One nice Thanos advantage is that it does do downsampling in addition to being able to store raw metric data for a long time. It will auto-select downsampled data to make requests faster.
-
Time series databases
Grafana Mimir - scalable storage for Prometheus
- Long term Prometheus metric storage
-
Best unicorn monitoring system?
Depending on how you want to set things up, you can use Thanos or Mimir to create the single-pane-of-glass view of your data.
- Centralized solution for Prometheus?
What are some alternatives?
TDengine - TDengine is an open source, high-performance, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, Industrial IoT and DevOps.
thanos - Highly available Prometheus setup with long term storage capabilities. A CNCF Incubating project.
iotdb - Apache IoTDB
VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database
QuestDB - An open source time-series database for fast ingest and SQL queries
cortex - A horizontally scalable, highly available, multi-tenant, long term Prometheus.
TimescaleDB - An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
m3 - M3 monorepo - Distributed TSDB, Aggregator and Query Engine, Prometheus Sidecar, Graphite Compatible, Metrics Platform
Crate - CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
prometheus - The Prometheus monitoring system and time series database.
couchbase-lite-core - Cross-platform C++ core library for Couchbase Lite
ClickHouse - ClickHouse® is a free analytics DBMS for big data