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Apache Lucene VS CacheWatch

Compare Apache Lucene VS CacheWatch and see what are their differences

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Apache Lucene logo Apache Lucene

High-performance, full-featured text search engine library written entirely in Java.

CacheWatch logo CacheWatch

Cache for your WebSite.
  • Apache Lucene Landing page
    Landing page //
    2023-08-20
Not present

Apache Lucene features and specs

  • High Performance
    Lucene is known for its high-performance indexing and searching capabilities, which makes it suitable for handling large volumes of data efficiently.
  • Scalability
    Lucene can scale effectively to handle large datasets and accommodate growing data needs without significant performance degradation.
  • Flexible Querying
    It offers a rich query language and supports complex queries, allowing developers to perform precise and advanced searches.
  • Open Source
    Being open-source, Lucene is free to use and has a supportive community, which enhances its features through contributions and plugins.
  • Extensive Ecosystem
    Lucene is part of a larger ecosystem with tools like Apache Solr and Elasticsearch, which provide additional functionalities and easier management.

Possible disadvantages of Apache Lucene

  • Complexity
    Lucene can be complex to set up and configure, requiring a good understanding of indexing and search concepts.
  • Limited Out-of-the-box Features
    Lucene is a low-level library and lacks some of the out-of-the-box features found in higher-level search platforms, necessitating more custom development.
  • Steeper Learning Curve
    Developers need to invest time to understand its API and functionalities fully, which can be challenging for beginners.
  • Java Dependency
    As a Java-based library, Lucene requires a Java environment, which might not suit all development stacks or teams preferring other languages.
  • No Built-in Distributed Features
    Lucene itself does not handle distributed search and indexing natively, requiring integration with other tools like Solr or Elasticsearch for distributed capabilities.

CacheWatch features and specs

No features have been listed yet.

Apache Lucene videos

+ Add

Paper Review - "Apache Lucene 4." SIGIR 2012 workshop on open source information retrieval

More videos:

  • Review - Fundamentals of Information Retrieval, Illustration with Apache Lucene

CacheWatch videos

No CacheWatch videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Apache Lucene and CacheWatch)

Apache Lucene

CacheWatch

Custom Search Engine
100 100%
Custom Search Engine
0% 0
SEO
0 0%
SEO
100% 100
Custom Search
100 100%
Custom Search
0% 0
SEO Tools
0 0%
SEO Tools
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 Apache Lucene and CacheWatch

Apache Lucene Reviews

5 Open-Source Search Engines For your Website
Apache Lucene is a free and open-source search engine software library, originally written completely in Java. It is supported by the Apache Software Foundation and is released under the Apache Software License. It is a technology suitable for nearly any application that requires full-text search, especially cross-platform.
Source: vishnuch.tech

CacheWatch Reviews

We have no reviews of CacheWatch yet.
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Social recommendations and mentions

Based on our record, Apache Lucene seems to be more popular. It has been mentiond 7 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.

Apache Lucene mentions (7)

  • Looking for small libraries implemented in multiple langauges
    I have to find a few examples of relatively small programming libraries that has been rewritten/ported to C++, C# and Java. Example: Lucene (it isn't that small, but still shows what I'm looking for). Source: about 2 years ago
  • HBO Max needs to stop purging its content.
    He is talking about impacting the search algorithm. Putting a “+” sounds like it is negatively impacting search quality. Source: over 2 years ago
  • Whoever worked on Steam's search engine needs a raise.
    For example Lucene is a core project common to many search engines, lots of things built ontop of it. And there are similar libraries Https://lucene.apache.org/core/. Source: over 2 years ago
  • Prometheus vs Elasticsearch stack - Key concepts, features, and differences
    Full-text search Elasticsearch is built on top of Apache Lucene, an open-source information retrieval software. Apache Lucene enables Elasticsearch can perform complex full-text searches using a single or combination of word phrases against its No SQL database. - Source: dev.to / almost 3 years ago
  • A simple but efficient algorithm for searching a large dataset of objects?
    If I had control of the back end I would implement a full-text engine such as Lucene. Generate the lookup table as a batch job and then perform the FTS when the request comes in. If you try to do this real-time, your search will take exponentially longer the larger the data set gets. Source: about 3 years ago
View more

CacheWatch mentions (0)

We have not tracked any mentions of CacheWatch yet. Tracking of CacheWatch recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Lucene and CacheWatch, you can also consider the following products

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

rendora - dynamic server-side rendering using headless Chrome to effortlessly solve the SEO problem for...

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.

Prerender - Get Your JavaScript Website Crawled, Indexed and Found. A pre-rendering solution for large and dynamic websites.

Google Cloud Search - Search across all your company's content in G Suite.

SEMRush - All-in-one Marketing Toolkit for digital marketing professionals.

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