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EyeEm VS Apache Solr

Compare EyeEm VS Apache Solr and see what are their differences

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EyeEm logo EyeEm

Open your eyes! Discover places & things you love, with every photo you take.

Apache Solr logo Apache Solr

Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...
  • EyeEm Landing page
    Landing page //
    2023-03-12
  • Apache Solr Landing page
    Landing page //
    2023-04-28

EyeEm

Website
eyeem.com
Pricing URL
Official EyeEm Pricing
$ Details
-
Release Date
2011 January
Startup details
Country
Germany
State
Berlin
City
Berlin
Founder(s)
Florian Meissner
Employees
100 - 249
Edit details

Apache Solr

Website
solr.apache.org
Pricing URL
-
$ Details
Release Date
-
Edit details

EyeEm features and specs

  • Exposure
    EyeEm offers a platform for photographers to gain exposure to a global audience, increasing the visibility of their work.
  • Revenue
    Photographers can earn money by selling their photos through EyeEm's marketplace, which can be a valuable source of income.
  • Community
    EyeEm has a strong community of photographers, providing opportunities for networking, collaboration, and feedback.
  • AI Curation
    EyeEm uses AI to curate and recommend the best photos, helping photographers get their best work noticed.
  • Mobile App
    EyeEm provides a user-friendly mobile app that allows photographers to upload and manage their photos on the go.

Possible disadvantages of EyeEm

  • Revenue Split
    The platform takes a significant commission from sales, which can be a downside for photographers seeking higher earnings.
  • Competition
    The large number of photographers on EyeEm can make it challenging to stand out and get noticed among the competition.
  • Market Saturation
    Certain categories of photos may be oversaturated, reducing the likelihood of sales for new contributors.
  • Terms and Conditions
    Some users may find EyeEm's terms and conditions concerning, particularly regarding the licensing and usage rights of their photos.
  • Payout Threshold
    The platform requires photographers to reach a certain payout threshold before they can withdraw their earnings, which may be inconvenient for some users.

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.

Analysis of EyeEm

Overall verdict

  • EyeEm is generally considered a good platform for photographers looking to gain exposure, connect with a community of creatives, and potentially earn money from their photography. Its user-friendly interface and supportive community make it an appealing choice for both amateur and professional photographers.

Why this product is good

  • EyeEm is an online platform and community for photographers and photography enthusiasts. It provides a space for users to showcase their work, discover inspiring images, and connect with like-minded individuals. Additionally, it offers opportunities for photographers to monetize their work through partnerships with brands and agencies.

Recommended for

  • Amateur photographers looking to showcase their work
  • Professional photographers seeking new opportunities for monetization
  • Photography enthusiasts interested in community engagement
  • Individuals looking to discover and be inspired by diverse photography

Analysis of Apache Solr

Overall verdict

  • Yes, Apache Solr is generally considered a good option for organizations seeking a reliable, scalable, and flexible search platform. It offers extensive features and is supported by a strong community, making it a solid choice for many use cases.

Why this product is good

  • Apache Solr is highly regarded for its robust full-text search capabilities, scalability, and ease of integration. As an open-source search platform, it is built on Apache Lucene and provides powerful distributed search and indexing, replication, load-balanced querying, and automated failover and recovery. Solr is designed to handle large volumes of data efficiently and supports various data formats with powerful data management features.

Recommended for

    Apache Solr is recommended for organizations that need to implement powerful search capabilities, especially those managing large, complex datasets. It is ideal for businesses that require full-text search features, e-commerce sites, content management systems, and big data applications that demand high query performance and scalability.

EyeEm videos

+ Add

Eyeem Review 2019: 6 MONTHS later | How much MONEY?

More videos:

  • Review - EyeEm App Review | Earn Money By Selling Photos
  • Review - EyeEm : Upload guide and Review. High Sales Value,Great commission! Stock Photography Episode 15

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 EyeEm and Apache Solr)

EyeEm

Apache Solr

Photography
100 100%
Photography
0% 0
Custom Search Engine
0 0%
Custom Search Engine
100% 100
Social Media Apps
100 100%
Social Media Apps
0% 0
Custom Search
0 0%
Custom Search
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 EyeEm and Apache Solr

EyeEm Reviews

What are the best alternatives to Facebook?
One feature that’s specific to the business model for EyeEm is that users can offer their own photos voluntarily on the startup’s marketplace. EyeEm sells these images with stock licenses to Getty Images and other purchasers. Users then receive a share of the revenue generated. This means that EyeEm isn’t just a platform for displaying images – you can make money from them...
Source: www.ionos.com

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 a lot more popular than EyeEm. While we know about 19 links to Apache Solr, we've tracked only 1 mention of EyeEm. 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.

EyeEm mentions (1)

  • Need to make an extra £300 in the next 30 days
    2) Do you have mobile phone photos of 'asethetic' things you take about your like? Flowers, sunsets, scenic parks you go to, how your work desk looks, etc? Try signing up to eyeem.com This is a stock photo site (ghetty images and the like) I've found worked really smoothly for me so far. Unlike other stock photo sites, EyeEm's purpose is aimed at mobile phone users (though you can absoltuely upload photos taken by... Source: about 4 years ago

Apache Solr mentions (19)

  • List of 45 databases in the world
    Solr — Open-source search platform built on Apache Lucene. - Source: dev.to / 11 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 / 11 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
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What are some alternatives?

When comparing EyeEm and Apache Solr, you can also consider the following products

Instagram - Instagram is a mobile, desktop, and Internet-based photo-sharing application and service that allows users to share pictures and videos either publicly, or privately to pre-approved followers.

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

PicsArt - Explore 100,000,000+ awesome images and photos on the web

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.

PixelFed - PixelFed is a federated image sharing platform, powered by the ActivityPub protocol.

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

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