cratedb-terraform
Terraform deployment configurations for CrateDB (by crate)
nodeIngestBench
By proddata
| cratedb-terraform | nodeIngestBench | |
|---|---|---|
| 1 | 2 | |
| 5 | 3 | |
| - | - | |
| 7.1 | 1.5 | |
| 6 days ago | about 2 months ago | |
| HCL | JavaScript | |
| GNU Affero General Public License v3.0 | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
cratedb-terraform
Posts with mentions or reviews of cratedb-terraform.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-29.
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How we scaled ingestion to one million rows per second
crate-terraform: Terraform scripts to easily start CrateDB clusters in the cloud. For a certain set of variable values, it spins up a CrateDB cluster in a reproducible way (including a load balancer). It also allows configuring certain performance-critical properties, such as disk throughput. Going with Terraform guarantees that the setup will be easy to reproduce. We will run all infrastructure on the AWS cloud.
nodeIngestBench
Posts with mentions or reviews of nodeIngestBench.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-18.
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Ingesting with CrateDB
We used the nodeIngestBench for all the benchmarking. It is a multi-process Node.js script that runs high-performance ingest benchmarks on CrateDB. It uses a data model that was adapted from Timescale’s Time Series Benchmark Suite (TSBS). One thing that we want to make clear is that nodeIngestBench is a write benchmark. The data structure that it creates is unsuitable for any performance-indicative reading tests because of its high cardinality (due to random data) and no partitioning.
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How we scaled ingestion to one million rows per second
nodeIngestBench: The client tool generating batched INSERT statements. Implemented in Node.js, it provides the needed high concurrency with a pool of workers that run as separate child processes.
What are some alternatives?
When comparing cratedb-terraform and nodeIngestBench you can also consider the following projects:
cloudrail-demo - This repository contains the instructions for how to use Cloudrail, as well as specific scenarios to test Cloudrail with.
tsbs - Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data
tf-ecs-fargate-tmpl - Terraform template for AWS ECS/Fargate setup
fortinet-azure-solutions - A set of Azure Templates for getting you started in Azure with Fortinet solutions. This repository is a place for beta releases and work on the latest templates to be published on github.com/fortinet or custom templates.