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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. BindPlane vs CHAOSSEARCH

BindPlane vs CHAOSSEARCH

OverviewComparisonAlternatives

Overview

BindPlane
BindPlane
Stacks3
Followers10
Votes0
GitHub Stars0
Forks0
CHAOSSEARCH
CHAOSSEARCH
Stacks7
Followers17
Votes10

BindPlane vs CHAOSSEARCH: What are the differences?

Developers describe BindPlane as "Relationship-aware stream of metrics and logs in real time". It delivers a relationship-aware stream of metrics and logs in real time. It seamlessly connects stacks outside of Google Cloud Platform (GCP) to Stackdriver for unified monitoring. It also allows you to close monitoring gaps for key application workloads running on GCP, like Microsoft SQL Server and SAP and dramatically reduce IT operations data management tasks. We also do the same for New Relic Insights and Microsoft Azure Monitor. On the other hand, CHAOSSEARCH is detailed as "A cloud-native search analytics platform on object storage". It is a cloud-native search analytics platform on object storage. It uniquely decouples storage from compute (zero local storage) and gives you an entirely new way to store, index, and execute your queries at any scale - from terabytes to petabytes and beyond!

We enable you to streamline and automate your data management process within your own S3 account — no data movement, transformation, or schema definition.

BindPlane and CHAOSSEARCH belong to "Log Management" category of the tech stack.

Some of the features offered by BindPlane are:

  • Performance Monitoring
  • Monitoring Integration
  • Managed fluentD Agent and Log Streaming Option for Stackdriver

On the other hand, CHAOSSEARCH provides the following key features:

  • Amazon S3 and Elasticsearch API support
  • Fully integrated Kibana visualization with enhancements
  • Backed by Amazon S3 — never move your data

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Detailed Comparison

BindPlane
BindPlane
CHAOSSEARCH
CHAOSSEARCH

It delivers a relationship-aware stream of metrics and logs in real time. It seamlessly connects stacks outside of Google Cloud Platform (GCP) to Stackdriver for unified monitoring. It also allows you to close monitoring gaps for key application workloads running on GCP, like Microsoft SQL Server and SAP and dramatically reduce IT operations data management tasks. We also do the same for New Relic Insights and Microsoft Azure Monitor.

ChaosSearch's Chaos LakeDB helps organizations make better use of their log and event data. The cloud data platform enables users to search, analyze, and visualize application telemetry data stored in Amazon S3 or Google Cloud Platform.

Performance Monitoring; Monitoring Integration; Managed fluentD Agent and Log Streaming Option for Stackdriver
Amazon S3 and Elasticsearch API support; Fully integrated Kibana visualization with enhancements; Backed by Amazon S3 — never move your data; Multi-user, SSO/OAuth; Alerting notification with webhook integrations; Enhanced query management with burst/cancel; Comprehensive customer dashboard for data analytics and tracking; Unlimited data retention and queries
Statistics
GitHub Stars
0
GitHub Stars
-
GitHub Forks
0
GitHub Forks
-
Stacks
3
Stacks
7
Followers
10
Followers
17
Votes
0
Votes
10
Pros & Cons
No community feedback yet
Pros
  • 1
    Managed service
  • 1
    Compressed index size
  • 1
    Schema on read
  • 1
    Lower cost then elasticsearch
  • 1
    Search s3
Integrations
Amazon EC2
Amazon EC2
Amazon S3
Amazon S3
Amazon EKS
Amazon EKS
Google Cloud SQL
Google Cloud SQL
Amazon EBS
Amazon EBS
Windows Server
Windows Server
Microsoft Azure
Microsoft Azure
Microsoft SQL Server
Microsoft SQL Server
Elasticsearch
Elasticsearch
Amazon Route 53
Amazon Route 53
Amazon S3
Amazon S3
NGINX
NGINX
OpenAI
OpenAI
Amazon SQS
Amazon SQS
Amazon CloudFront
Amazon CloudFront
PagerDuty
PagerDuty
CloudFlare
CloudFlare
Logstash
Logstash
Fluentd
Fluentd
AWS CloudTrail
AWS CloudTrail

What are some alternatives to BindPlane, CHAOSSEARCH?

Papertrail

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Logmatic

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Loggly

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

Logentries

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Logstash

Logstash

Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.

Graylog

Graylog

Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.

Sematext

Sematext

Sematext pulls together performance monitoring, logs, user experience and synthetic monitoring that tools organizations need to troubleshoot performance issues faster.

Fluentd

Fluentd

Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure.

ELK

ELK

It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.

Sumo Logic

Sumo Logic

Cloud-based machine data analytics platform that enables companies to proactively identify availability and performance issues in their infrastructure, improve their security posture and enhance application rollouts. Companies using Sumo Logic reduce their mean-time-to-resolution by 50% and can save hundreds of thousands of dollars, annually. Customers include Netflix, Medallia, Orange, and GoGo Inflight.

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