Software Alternatives, Accelerators & Startups

ElasticSearch VS Travis CI

Compare ElasticSearch VS Travis CI and see what are their differences

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ElasticSearch logo ElasticSearch

Elasticsearch is an open source, distributed, RESTful search engine.

Travis CI logo Travis CI

Simple, flexible, trustworthy CI/CD tools. Join hundreds of thousands who define tests and deployments in minutes, then scale up simply with parallel or multi-environment builds using Travis CI’s precision syntax—all with the developer in mind.
  • ElasticSearch Landing page
    Landing page //
    2023-10-10
  • Travis CI Travis CI for Simple, Flexible, Trustworthy CI/CD Tools
    Travis CI for Simple, Flexible, Trustworthy CI/CD Tools //
    2024-10-22

Founded in Berlin, Germany, in 2011, Travis CI grew quickly and became a trusted name in CI/CD, gaining popularity among software developers and engineers starting their careers. In 2019, Travis CI became part of Idera, Inc., the parent company of global B2B software productivity brands whose solutions enable technical users to work faster and do more with less.

Today, developers at 300,000 organizations use Travis CI. We often hear about the pangs of nostalgia these folks feel when they use Travis CI, as it was one of the first tools they used at the beginning of their career journey. We are still much here, supporting those who have stuck with us along the way and remaining the best next destination on your CI/CD journey, whether you’re building your first pipelines or trying to bring some thrill back into work that’s become overloaded with AI and DevSecOps complexity.

Our Mission:

We deliver the simplest and most flexible CI/CD tool to developers eager for ownership of their code quality, transparency in how they problem-solve with peers, and pride in the results they create—one LOC at a time.

Our Promise:

We aim for nothing less than to guide every developer to the next phase of their CI/CD adventure—even if that means growing beyond our platform.

ElasticSearch features and specs

  • Scalability
    ElasticSearch is highly scalable, allowing you to handle large volumes of data and distribute indexing and search tasks across multiple nodes.
  • Real-Time Data
    It provides real-time indexing and searching capabilities, making it suitable for applications that require up-to-the-minute data retrieval and analysis.
  • Full-Text Search
    ElasticSearch is well-known for its powerful full-text search capabilities, enabling complex search queries and supporting a wide range of search options.
  • Complex Query Support
    It offers a rich query language allowing for complex and nested searching with filters, aggregations, and more.
  • Distributed Architecture
    ElasticSearch is designed to be distributed by nature, making it resilient to node failures and allowing data and search requests to be distributed across a cluster.
  • Open Source
    ElasticSearch is open-source, offering flexibility and a large community of developers that contribute to its continuous improvement and support.
  • Analytics
    Besides search, it also supports powerful analytics and visualization tools, especially when integrated with Kibana, its visualization dashboard.
  • Integrations
    ElasticSearch can easily integrate with various data sources and frameworks, enhancing its usability across different applications.

Possible disadvantages of ElasticSearch

  • Complexity
    Operating ElasticSearch can be complex, particularly when dealing with large-scale deployments, requiring specialized knowledge and expertise.
  • Resource Intensive
    ElasticSearch can be resource-intensive, requiring significant amounts of RAM and CPU, which can be costly for large-scale operations.
  • Consistency
    As a distributed system, ElasticSearch can sometimes face consistency issues, especially in scenarios involving partitions or network failures.
  • Security
    Though security features are available, they often require additional configurations and are more robust in the paid versions, which can be a concern for open-source users.
  • Cost
    While the core ElasticSearch software is open-source, scaling and additional features (like security, monitoring, and machine learning) are part of the paid Elastic Stack offerings.
  • Learning Curve
    There is a steep learning curve associated with mastering ElasticSearch and its query DSL (Domain Specific Language), which can be a barrier for new users.
  • Maintenance
    Properly maintaining an ElasticSearch cluster requires ongoing management, monitoring, and tuning to ensure optimal performance.
  • Backup and Restore
    Managing backups and restores can be cumbersome and is not as straightforward as in some other databases or data storage solutions.

Travis CI features and specs

  • Ease of Use
    Travis CI offers a very user-friendly interface and straightforward setup process, making it accessible even for those new to CI/CD.
  • Integration with GitHub
    Seamlessly integrates with GitHub, allowing for automatic builds and tests triggered on pull requests and commits.
  • Wide Range of Language Support
    Supports numerous programming languages out of the box, providing built-in configurations for many common languages such as Python, Ruby, JavaScript, and Java.
  • Extensive Documentation
    Offers comprehensive and well-organized documentation, which can help users troubleshoot and understand complex setups.
  • Build Matrix
    Run your unit and integration tests across any combination of environments for comprehensive automation and absolute quality guarantees on your way to production.

Possible disadvantages of Travis CI

  • Pricing for Private Repositories
    Can become expensive for private repositories and larger teams, especially compared to some competitors that offer more generous free tiers.
  • Performance Issues
    Users have reported occasional performance issues, including slower build times and longer wait periods for queued jobs.
  • Limited Advanced Features
    Might lack some advanced features and customizations that are available in other CI/CD platforms, making it less suitable for very complex workflows.
  • Concurrency Limits
    Has limitations on the number of concurrent builds that can run, which can slow down development cycles for larger projects with many contributors.
  • Complex Configuration for Large Projects
    Configuration can become cumbersome and complex for large projects with intricate dependencies and multiple build steps.

Analysis of ElasticSearch

Overall verdict

  • Yes, Elasticsearch is widely regarded as a top-tier solution for search and analytics applications. Its balance of speed, scalability, and adaptability to various data sets and systems makes it a popular choice across industries. However, it can be complex to set up and manage at scale, so some expertise is beneficial.

Why this product is good

  • Elasticsearch, developed by Elastic.co, is considered a powerful and flexible search and analytics engine. It's renowned for its scalability, speed, and support for complex search functionalities. Officially integrated into the Elastic Stack, it offers robust indexing and real-time search capabilities, making it an ideal choice for large-scale data search and analysis. It has a vibrant community and extensive documentation, which add to its appeal. Users appreciate its ability to handle a vast amount of data efficiently and its seamless integration with other tools like Kibana and Logstash.

Recommended for

  • Organizations needing a reliable, scalable search engine for large datasets
  • Developers building applications with complex search queries and analytics
  • Businesses wanting to perform real-time data analysis and visualization
  • Companies looking for a component within a larger log or event data management solution
  • Engineering and IT teams seeking to integrate search capabilities into existing systems

Analysis of Travis CI

Overall verdict

  • Travis CI is a widely used continuous integration service that is generally considered good for many development projects.

Why this product is good

  • Travis CI integrates seamlessly with GitHub, which allows for automated testing and deployment processes. It is simple to set up for open-source projects and supports multiple programming languages and operating systems. The platform's intuitive interface and extensive documentation make it accessible to both beginners and experienced developers.

Recommended for

  • Open-source projects
  • Teams looking for easy GitHub integration
  • Projects that require regular automated testing
  • Developers who value extensive community support
  • Projects with varying tech stacks, due to its multi-language support

ElasticSearch videos

What is Elasticsearch?

More videos:

  • Review - Real world Elasticsearch Compose/Stack File Review
  • Demo - Elastic Search

Travis CI videos

Setting Up Your First Build

More videos:

  • Tutorial - CI/CD Core Concepts
  • Tutorial - How to Get Started with Travis CI in 0 to 5 Minutes

Category Popularity

0-100% (relative to ElasticSearch and Travis CI)
Custom Search Engine
100 100%
0% 0
Continuous Integration
0 0%
100% 100
Custom Search
100 100%
0% 0
DevOps Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare ElasticSearch and Travis CI

ElasticSearch Reviews

Log analysis: Elasticsearch vs Apache Doris
Benchmark tests with ES Rally, the official testing tool for Elasticsearch, showed that Apache Doris was around 5 times as fast as Elasticsearch in data writing, 2.3 times as fast in queries, and it consumed only 1/5 of the storage space that Elasticsearch used. On the test dataset of HTTP logs, it achieved a writing speed of 550 MB/s and a compression ratio of 10:1.
4 Leading Enterprise Search Software to Look For in 2022
“ We’ve built some big data search and mobile desktop applications that help our customers experience fast natural language search. Some applications require this, where I need to find data, I don’t want to build some complex query, I just need to ask the system “help me search for this information, narrow my results” and I don't want to wait several seconds. We’ve built a...
Top 10 Site Search Software Tools & Plugins for 2022
Elasticsearch is built for human users, which means that it’s equipped to handle mistakes that humans often make such as typos. This helps to improve search relevance and enhance the overall search experience. It offers real-time crawling, which automatically detects changes in content and ensures that search results are fresh and relevant.
Best Elasticsearch alternatives for search
However, when it comes to dealing with synonyms (i.e. ‘smart phone’ for ‘Samsung Galaxy’), slang (i.e. ‘kicks’ for ‘Nike Air Jordans’) and context (i.e. ‘car park’ is different to ‘dog park’) – you have to set up a bunch of manual rules/definitions with Elasticsearch and co.
Source: relevance.ai
5 Open-Source Search Engines For your Website
Elasticsearch provides key features like Advanced Full-Text Search Capabilities like Data indexing, Search capabilities including phrases, wildcards, auto suggestions, filters & facets, etc... Elasticsearch can also be used for other use-cases like
Source: vishnuch.tech

Travis CI Reviews

The Best Alternatives to Jenkins for Developers
Travis CI is another popular cloud-based CI/CD solution that integrates well with GitHub. Known for its simplicity and ease of setup, Travis CI is a great choice for open-source projects or teams that primarily work with GitHub repositories. Its configuration is based on a YAML file, making it easy to define and manage build workflows.
Source: morninglif.com
Top 10 Most Popular Jenkins Alternatives for DevOps in 2024
Travis CI is known for its simple setup, quick parallel builds, and support for multiple architectures, including popular enterprise options like IBM PowerPC and IBM Z. It’s claimed that pipelines require approximately 33% less configurable code than other CI/CD solutions, which helps make the platform more approachable. Use it instead of Jenkins when you want a fast...
Source: spacelift.io
10 Jenkins Alternatives in 2021 for Developers
You might find that Travis CI proudly promotes the fact that they have more than 900,000 open-source projects and 600,000 users on their platform with Travis CI. Automated deployment can be quickly established by following the tutorials and documentation that are currently available on their website.
The Best Alternatives to Jenkins for Developers
Travis CI is a continuous integration and testing CI/CD tool. It is free of cost for open source projects and provides seamless integration with GitHub. It supports more than 20 languages, like Node.js, PHP, Python, etc. along with Docker.
Continuous Integration. CircleCI vs Travis CI vs Jenkins
Travis CI is recommended for cases when you are working on the open-source projects, that should be tested in different environments.
Source: djangostars.com

Social recommendations and mentions

Based on our record, ElasticSearch should be more popular than Travis CI. It has been mentiond 17 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

ElasticSearch mentions (17)

  • ElasticSearch from the Azure store or from Elastic.co?
    What surprised me is that on the Azure store, the only option I see is (Pay as you go), whereas on elastic.co there are the standard platinum and enterprise tiers followed by a where to deploy page and a pricing overview. Source: almost 2 years ago
  • Hunspell on elastic.co cloud
    Can anyone help me how to upload custom hunspell stemmer files to elastic cloud (elastic.co)? According to elastic docs it should go under elasticsearch/config/hunspell, but according to cloud docs I should upload it via features/extension tab. So I tried zipping the hunspell folder and uploading it. I also figured out that it should be in the dictionaries folder, but after uploading it still doesn't work. Source: about 2 years ago
  • Creating a modern, SaaS website.. what am I missing?
    I can't figure out where I have to go to get more or less of a custom, premium website. I should mention that I look up to websites like elastic.co for example, would be very happy with something like that. I could really use some guidance! Source: over 2 years ago
  • Ask HN: Who is hiring? (October 2022)
    Elastic | Multiple software engineering roles | REMOTE (EMEA) | Full-time | https://elastic.co Elastic offers solutions for security and observability that are built on a single, open technology stack that can be deployed anywhere. Elastic Security enables security teams to prevent, detect, and respond to attacks with a solution built atop the speed and reliable of the Elastic stack. The Security External... - Source: Hacker News / over 2 years ago
  • Seeking clarification about which part of ElasticSearch to use for our website
    I have been trying to digest the elastic.co website to try to understand how we can use elastic search, but I've come to a point where I'm not sure which part of elastic, (if any) makes sense for us. In fact I am royally confused. I wonder if anyone here can help clarify? Source: almost 3 years ago
View more

Travis CI mentions (6)

  • Front-end Guide
    We used Travis CI for our continuous integration (CI) pipeline. Travis is a highly popular CI on Github and its build matrix feature is useful for repositories which contain multiple projects like Grab's. We configured Travis to do the following:. - Source: dev.to / over 2 years ago
  • Flutter
    CI/CD for autobuild + autotests (Codemagic or Travis CI). Source: over 2 years ago
  • How To Build Your First CI/CD Pipeline With Travis CI?
    Step 2: Log on to Travis CI and sign up with your GitHub account used above. - Source: dev.to / almost 3 years ago
  • What does a DevOps engineer actually do?
    Some other hosted CI products, such as CircleCI and Travis Cl, are completely hosted in the cloud. It is becoming more popular for small organizations to use hosted CI products, as they allow engineering teams to begin continuous integration as soon as possible. Source: almost 4 years ago
  • Hosting an Angular application on GitHub Pages using Travis CI
    1. Let's create the account. Access the site https://travis-ci.com/ and click on the button Sign up. - Source: dev.to / almost 4 years ago
View more

What are some alternatives?

When comparing ElasticSearch and Travis CI, you can also consider the following products

Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.

Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development

Apache Solr - Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...

CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.

Typesense - Typo tolerant, delightfully simple, open source search 🔍

Codeship - Codeship is a fast and secure hosted Continuous Delivery platform that scales with your needs.