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When I Work VS Apache Solr

Compare When I Work VS Apache Solr and see what are their differences

Insightful.io
The #1 monitoring employee software for clear insights into how your team works. Get real-time and historical data. Understand productivity at every level. featured
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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

When I Work logo When I Work

When I Work is an employee scheduling and communication app using the web, mobile apps, text messaging, social media, and email.

Apache Solr logo Apache Solr

Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...
  • When I Work Landing page
    Landing page //
    2021-07-30
  • Apache Solr Landing page
    Landing page //
    2023-04-28

When I Work features and specs

  • User-Friendly Interface
    When I Work offers a clean, intuitive interface that both employers and employees find easy to navigate, making scheduling and communication straightforward.
  • Mobile Accessibility
    The mobile app allows employees to check schedules, request time off, and communicate from anywhere, enhancing flexibility and accessibility.
  • Efficient Scheduling
    Automated scheduling features help managers save time by quickly creating and adjusting schedules based on employee availability and business needs.
  • Time Tracking Integration
    When I Work integrates time tracking and attendance, simplifying payroll processes and ensuring accurate timekeeping.
  • Employee Management
    The platform supports streamlined employee management with tools for communication, task assignment, and shift reminders.

Possible disadvantages of When I Work

  • Cost
    While powerful, When I Work can be relatively expensive, especially for smaller businesses with tight budgets.
  • Limited Customization
    Some users have reported that the software offers limited customization options for specific business needs and scheduling intricacies.
  • Learning Curve
    Although generally user-friendly, some features may have a learning curve for new users, particularly those who are not tech-savvy.
  • Customer Support
    While adequate, some users have experienced delays or difficulties in getting timely support from the customer service team.
  • Feature Limitations in Basic Plan
    The basic plan may not include all the advanced features, requiring an upgrade to access the full range of functionalities.

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 When I Work

Overall verdict

  • When I Work (wheniwork.com) is generally considered a good scheduling and workforce management tool.

Why this product is good

  • When I Work is praised for its user-friendly interface, ease of scheduling, and communication features that streamline shift management. It offers time tracking, team messaging, and integration capabilities to assist in simplifying workforce operations.

Recommended for

    When I Work is recommended for small to medium-sized businesses looking for an efficient and intuitive platform to manage employee schedules, track time, and facilitate communication between team members. It is particularly useful for industries such as retail, healthcare, hospitality, and restaurant services where shift work is common.

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.

When I Work videos

+ Add

Digital Unboxing: When I Work

More videos:

  • Review - When I Work - Review and Edit Timesheets

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 When I Work and Apache Solr)

When I Work

Apache Solr

Employee Scheduling
100 100%
Employee Scheduling
0% 0
Custom Search Engine
0 0%
Custom Search Engine
100% 100
Time Tracking
100 100%
Time Tracking
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 When I Work and Apache Solr

When I Work Reviews

The 9 Best Paid and Free WhenIWork Alternatives
Whether you’ve grown tired of When I Work or are looking to change things up and see if there’s an app that’s better out there – then this article is for you. In just a moment, we will walk you through nine different software that we believe are fantastic alternatives to When I Work.
Source: everhour.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 should be more popular than When I Work. 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.

When I Work mentions (6)

  • Employee calendars that all super admins have access to
    How are the users accessing these calendars if you don't create accounts for them? What you probably want is a work scheduling service like when I work: https://wheniwork.com. Source: over 2 years ago
  • Volunteer schedule with varying hours
    You could try something like this: https://wheniwork.com. Source: almost 3 years ago
  • Labour as a percentage of sales.
    I record all of our takings through a spreadsheet and from this I add our takings into wheniwork.com and get my labour as a percentage of sales. Source: almost 4 years ago
  • Web-Based Time Keeping System Suggestions
    Look at wheniwork.com. We used them a few years ago and they had lots of features. Source: almost 4 years ago
  • Web/App-based Time Tracking Application for Lab use
    We are going to resume our work in few weeks and looking for efficient time tracking applications to keep track of the people working in the lab at any given time. In one lab I am using WhenIWork app and planning to us clockify in the second lab. Both of them are free and have some pros and cons. I was wondering if anybody has experience using any other software (free) in your lab. We are a team of 5-6 people and... Source: about 4 years ago
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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 / almost 2 years 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 When I Work and Apache Solr, you can also consider the following products

Deputy - Deputy is a software for employee scheduling, time and attendance and communication management.

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

ResourceGuru - The fast, simple way to schedule people, equipment, and other resources online.

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.

Float - The leading resource management software for agencies, studios, and firms. With a simple, drag and drop interface and powerful editing tools, Float saves you time and keeps projects on track.

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

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