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  1. Stackups
  2. DevOps
  3. Log Management
  4. Logging Tools
  5. Loki vs Parseable

Loki vs Parseable

OverviewComparisonAlternatives

Overview

Loki
Loki
Stacks552
Followers328
Votes17
GitHub Stars26.9K
Forks3.8K
Parseable
Parseable
Stacks1
Followers5
Votes0
GitHub Stars2.3K
Forks153

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Detailed Comparison

Loki
Loki
Parseable
Parseable

Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by Prometheus. It is designed to be very cost effective and easy to operate, as it does not index the contents of the logs, but rather a set of labels for each log stream.

open source, cloud native, log storage and management platform. It helps you ingest high volumes of log data from various sources. It stores log data into highly compressed Parquet file format.

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Simple and high performance data ingestion with SDK less REST API; Deploy on Kubernetes in seconds and start collecting logs from all containers; Store log data as high compress and analytics friendly Parquet format; Uses object storage as the primary storage; Bring your own bucket and completely own your log storage data; Intuitive dashboard to parse through log data efficiently
Statistics
GitHub Stars
26.9K
GitHub Stars
2.3K
GitHub Forks
3.8K
GitHub Forks
153
Stacks
552
Stacks
1
Followers
328
Followers
5
Votes
17
Votes
0
Pros & Cons
Pros
  • 5
    Opensource
  • 3
    Very fast ingestion
  • 3
    Near real-time search
  • 2
    Low resource footprint
  • 2
    REST Api
No community feedback yet
Integrations
Grafana
Grafana
Kubernetes
Kubernetes
Docker
Docker
Helm
Helm
Rsyslog
Rsyslog
Logstash
Logstash
Kubernetes
Kubernetes
Redpanda
Redpanda
Confluent
Confluent
Timberio Vector
Timberio Vector
Grafana
Grafana
Fluent Bit
Fluent Bit

What are some alternatives to Loki, Parseable?

Kubernetes

Kubernetes

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Rancher

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Compose

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Docker Swarm

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Codefresh

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

Seq

Seq

Seq is a self-hosted server for structured log search, analysis, and alerting. It can be hosted on Windows or Linux/Docker, and has integrations for most popular structured logging libraries.

CAST.AI

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

k3s

k3s

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

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