StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Scribe vs Splunk Enterprise

Scribe vs Splunk Enterprise

OverviewComparisonAlternatives

Overview

Scribe
Scribe
Stacks36
Followers31
Votes0
GitHub Stars3.9K
Forks787
Splunk Enterprise
Splunk Enterprise
Stacks116
Followers114
Votes0

Scribe vs Splunk Enterprise: What are the differences?

Introduction

Below are the key differences between Scribe and Splunk Enterprise.

  1. Data Sources: Scribe is a cloud-based integration platform that primarily focuses on connecting various applications and data sources, enabling data transfer and synchronization between them. In contrast, Splunk Enterprise is a data analytics platform that specializes in ingesting, indexing, and analyzing machine-generated data from various sources such as logs, metrics, and events.

  2. Functionality: Scribe offers a broad range of integration capabilities, including real-time data replication, data transformation, and multi-point synchronization across applications and databases. It also provides pre-built connectors for popular applications and databases. On the other hand, Splunk Enterprise emphasizes powerful search, analytics, and visualization features, allowing users to gain insights from their machine-generated data, troubleshoot issues, and monitor system performance.

  3. Deployment Options: Scribe is primarily accessed through the cloud, offering a Software-as-a-Service (SaaS) model. Users can leverage Scribe's platform to build and deploy their integrations without the need for maintaining infrastructure. Conversely, Splunk Enterprise provides both on-premises and cloud deployment options, giving users flexibility in choosing their preferred deployment model based on their security, compliance, and scalability requirements.

  4. Supported Use Cases: Scribe is commonly used for integrating various business applications, enabling data integration and synchronization between different software platforms. It is commonly employed for tasks such as CRM data integration, data migration, and bi-directional data exchange. Splunk Enterprise, on the other hand, is typically used for log analysis, operational intelligence, security monitoring, and other use cases requiring real-time insights and analytics on machine-generated data.

  5. Pricing Model: Scribe operates on a subscription-based pricing model, where users typically pay based on factors such as the number of integration connectors, data volume, and additional features required. In contrast, Splunk Enterprise offers a hybrid pricing model, with both perpetual and term licensing options available. Pricing is based on the amount of data ingested and the specific features required, allowing organizations to customize their licensing based on their needs.

  6. Developer Community and Ecosystem: Scribe provides a developer community and marketplace where users can access pre-built integrations, connectors, and templates created by other users. It promotes collaboration and knowledge sharing among its user base. Splunk Enterprise also boasts a vibrant developer community and ecosystem, with a wide range of apps, add-ons, and extensions available to extend its functionality and integrate with other systems.

In summary, Scribe is a cloud-based integration platform focused on data integration and synchronization between applications, while Splunk Enterprise is a data analytics platform emphasizing real-time insights and analysis of machine-generated data. Scribe primarily operates in the cloud, offers extensive integration capabilities, and has a subscription-based pricing model, while Splunk Enterprise supports multiple deployment options, specializes in log analysis, and offers a hybrid pricing model. Both platforms have active developer communities and an ecosystem of integrations.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Scribe
Scribe
Splunk Enterprise
Splunk Enterprise

It is a server for aggregating log data streamed in real time from a large number of servers. It is designed to be scalable and reliable.

Splunk Enterprise delivers massive scale and speed to give you the real-time insights needed to boost productivity, security, profitability and competitiveness.

Aggregating log data ;Streamed in real time
Real-time visibility; Data Source Agnostic; AI & Machine Learning
Statistics
GitHub Stars
3.9K
GitHub Stars
-
GitHub Forks
787
GitHub Forks
-
Stacks
36
Stacks
116
Followers
31
Followers
114
Votes
0
Votes
0
Integrations
Python
Python
Hadoop
Hadoop
Apache Thrift
Apache Thrift
No integrations available

What are some alternatives to Scribe, Splunk Enterprise?

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.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana