Software Alternatives, Accelerators & Startups
Register | Login

elasticsearch-head VS Apache Solr

Compare elasticsearch-head VS Apache Solr and see what are their differences

Flagsmith
Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

elasticsearch-head logo elasticsearch-head

A web front end for an elastic search cluster

Apache Solr logo Apache Solr

Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...
  • elasticsearch-head Landing page
    Landing page //
    2023-08-17
  • Apache Solr Landing page
    Landing page //
    2023-04-28

elasticsearch-head features and specs

  • User-friendly Interface
    Elasticsearch-head provides a simple and intuitive visual interface that makes it easier to interact with your Elasticsearch cluster, allowing users to quickly navigate and manage their data.
  • Cluster Visualization
    The tool offers a clear visualization of the Elasticsearch cluster state, including nodes, indexes, and shards. This helps in understanding the cluster's health and distribution at a glance.
  • Real-time Data Interaction
    Elasticsearch-head allows users to perform CRUD operations and execute queries in real-time, which facilitates rapid testing and troubleshooting of Elasticsearch queries.
  • Open Source
    Being open-source, elasticsearch-head is free to use, and users can contribute to its development or customize it according to their needs.

Possible disadvantages of elasticsearch-head

  • Limited Scalability
    Elasticsearch-head may not handle large clusters efficiently due to performance constraints when visualizing significant amounts of data or nodes simultaneously.
  • Security Concerns
    Since the tool doesn't have built-in security features, running it in a production environment could pose security risks, as it exposes cluster details without authentication.
  • Maintenance
    The project does not appear to be actively maintained, which can lead to potential issues with compatibility with later versions of Elasticsearch.
  • Basic Functionality
    While it offers essential features for cluster management and query testing, it lacks advanced functionalities and analytics that other more comprehensive tools might provide.

Apache Solr features and specs

  • Scalability
    Apache Solr is highly scalable, capable of handling large amounts of data and numerous queries per second. It supports distributed search and indexing, which allows for horizontal scaling by adding more nodes.
  • Flexibility
    Solr provides flexible schema management, allowing for dynamic field definitions and easy handling of various data types. It supports a variety of search query types and can be customized to meet specific search requirements.
  • Rich Feature Set
    Solr comes with a wealth of features out-of-the-box, including faceted search, result highlighting, multi-index search, and advanced filtering capabilities. It also offers robust analytics and joins support.
  • Community and Documentation
    Being an open-source project, Apache Solr has a strong community and comprehensive documentation, which ensures continuous improvements, updates, and extensive support resources for developers.
  • Integrations
    Solr integrates well with a variety of databases and data sources, and it provides REST-like APIs for ease of integration with other applications. It also has strong support for popular programming languages like Java, Python, and Ruby.
  • Performance
    Solr is built on top of Apache Lucene, which provides high performance for searching and indexing. It is optimized for speed and can handle rapid data ingestion and real-time indexing.

Possible disadvantages of Apache Solr

  • Complexity
    The initial setup and configuration of Apache Solr can be complex, particularly for those not already familiar with search engines and indexing concepts. Managing a distributed Solr installation also requires considerable expertise.
  • Resource Intensive
    Running Solr, especially for large datasets, can be resource-intensive in terms of both memory and CPU. It requires careful tuning and adequate hardware to maintain performance.
  • Learning Curve
    The learning curve for Apache Solr can be steep due to its extensive feature set and the complexity of its configuration options. New users may find it challenging to get up to speed quickly.
  • Consistency Issues
    In distributed setups, ensuring data consistency can be challenging, particularly for users unfamiliar with managing clustered environments. There may be delays or issues with synchronizing indexes across multiple nodes.
  • Maintenance
    Ongoing maintenance of a Solr instance, including monitoring, tuning, and scaling, can be labor-intensive. This requires dedicated effort to keep the system running efficiently over time.
  • Limited Real-time Capabilities
    Although Solr provides near real-time indexing, it may not be as effective as some specialized real-time search engines. For applications requiring truly real-time capabilities, additional solutions might be necessary.

elasticsearch-head videos

No elasticsearch-head videos yet. You could help us improve this page by suggesting one.

Add video

Apache Solr videos

+ Add

Solr Index - Learn about Inverted Indexes and Apache Solr Indexing

More videos:

  • Review - Solr Web Crawl - Crawl Websites and Search in Apache Solr

Category Popularity

0-100% (relative to elasticsearch-head and Apache Solr)

elasticsearch-head

Apache Solr

API Tools
100 100%
API Tools
0% 0
Custom Search Engine
0 0%
Custom Search Engine
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Custom Search
0 0%
Custom Search
100% 100

User comments

Share your experience with using elasticsearch-head and Apache Solr. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare elasticsearch-head and Apache Solr

elasticsearch-head Reviews

We have no reviews of elasticsearch-head yet.
Be the first one to post

Apache Solr Reviews

Top 10 Site Search Software Tools & Plugins for 2022
Apache Solr is optimized to handle high-volume traffic and is easy to scale up or down depending on your changing needs. The near real-time indexing capabilities ensure that your content remains fresh and search results are always relevant and updated. For more advanced customization, Apache Solr boasts extensible plug-in architecture so you can easily plug in index and...
Source: influencermarketinghub.com
5 Open-Source Search Engines For your Website
Apache Solr is the popular, blazing-fast, open-source enterprise search platform built on Apache Lucene. Solr is a standalone search server with a REST-like API. You can put documents in it (called "indexing") via JSON, XML, CSV, or binary over HTTP. You query it via HTTP GET and receive JSON, XML, CSV, or binary results.
Source: vishnuch.tech
Elasticsearch vs. Solr vs. Sphinx: Best Open Source Search Platform Comparison
Solr is not as quick as Elasticsearch and works best for static data (that does not require frequent changing). The reason is due to caches. In Solr, the caches are global, which means that, when even the slightest change happens in the cache, all indexing demands a refresh. This is usually a time-consuming process. In Elastic, on the other hand, the refreshing is made by...
Source: greenice.net
Algolia Review – A Hosted Search API Reviewed
If you’re not 100% satisfied with Algolia, there are always alternative methods to accomplish similar results, such as Solr (open-source & self-hosted) or ElasticSearch (open-source or hosted). Both of these are built on Apache Lucene, and their search syntax is very similar. Amazon Elasticsearch Service provides a fully managed Elasticsearch service which makes it easy to...
Source: getstream.io

Social recommendations and mentions

Based on our record, Apache Solr seems to be more popular. It has been mentiond 19 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-head mentions (0)

We have not tracked any mentions of elasticsearch-head yet. Tracking of elasticsearch-head recommendations started around Mar 2021.

Apache Solr mentions (19)

  • List of 45 databases in the world
    Solr — Open-source search platform built on Apache Lucene. - Source: dev.to / 10 months ago
  • Considerations for Unicode and Searching
    I want to spend the brunt of this article talking about how to do this in Postgres, partly because it's a little more difficult there. But let me start in Apache Solr, which is where I first worked on these issues. - Source: dev.to / 10 months ago
  • Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌
    Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / over 1 year ago
  • Looking for software
    Apache Solr can be used to index and search text-based documents. It supports a wide range of file formats including PDFs, Microsoft Office documents, and plain text files. https://solr.apache.org/. Source: about 2 years ago
  • 'google-like' search engine for files on my NAS
    If so, then https://solr.apache.org/ can be a solution, though there's a bit of setup involved. Oh yea, you get to write your own "search interface" too which would end up calling solr's api to find stuff. Source: over 2 years ago
View more

What are some alternatives?

When comparing elasticsearch-head and Apache Solr, you can also consider the following products

elasticsearch-gui - AngularJS Client for ElasticSearch as a plugin.

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

ElasticHQ - Tool for ElasticSearch management and monitoring.

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.

Mirage - Mirage is a fast and simple GTK+ image viewer.

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

Loading...