Software Alternatives, Accelerators & Startups

ElasticSearch VS Google Custom Search Engine

Compare ElasticSearch VS Google Custom Search Engine and see what are their differences

ElasticSearch logo ElasticSearch

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

Google Custom Search Engine logo Google Custom Search Engine

Google Custom Search is a platform provided by Google that allows web developers to feature specialized information in web searches, refine and categorize queries and create customized search engines, based on Google Search.
  • ElasticSearch Landing page
    Landing page //
    2023-10-10
  • Google Custom Search Engine Landing page
    Landing page //
    2022-01-31

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.

Google Custom Search Engine features and specs

  • Easy Integration
    Google Custom Search Engine (CSE) allows for seamless integration into your website with just a few lines of code, providing a hassle-free way to add powerful search capabilities.
  • Customizable Appearance
    The appearance of the search engine can be customized to match the aesthetics of your website, ensuring a consistent user experience.
  • Google Search Algorithms
    CSE leverages Google's advanced search algorithms, which means it provides highly relevant search results and reliable performance.
  • Filtering and Restrictions
    You can specify certain sites or pages to be included or excluded from the search results, allowing for tailored control over search parameters.
  • Sponsored Links Integration
    By default, the search results can include relevant ads, providing potential revenue opportunities without additional work.
  • Multiple Sites Search
    CSE allows you to create search engines that span multiple websites or subsets of sites, enhancing the search scope as needed.

Possible disadvantages of Google Custom Search Engine

  • Advertising
    The free version of CSE displays ads alongside the search results, which could be distracting or undesirable for some users and website owners.
  • Limited Customization for Free Version
    The level of search result customization is limited unless you opt for the paid version, which may incur additional costs.
  • Dependency on Google Infrastructure
    Using CSE ties your site's search functionality to Google's infrastructure, which could be a concern for those seeking more independent or diversified solutions.
  • Privacy Concerns
    Using Google services for search means that information about users' search behavior can be collected by Google, potentially raising privacy issues.
  • Data Limitations
    The specificity and depth of data accessibility are limited compared to integrating a custom-built search engine with full database access.
  • Learning Curve
    Configuring and optimizing CSE, especially for more complex requirements, may require some learning and adjustment time from the developer's side.

ElasticSearch videos

What is Elasticsearch?

More videos:

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

Google Custom Search Engine videos

Create a Google Custom Search Engine To Monetize Your Site

Category Popularity

0-100% (relative to ElasticSearch and Google Custom Search Engine)
Custom Search Engine
87 87%
13% 13
Custom Search
88 88%
12% 12
Search Engine
96 96%
4% 4
Search API
80 80%
20% 20

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 Google Custom Search Engine

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

Google Custom Search Engine Reviews

We have no reviews of Google Custom Search Engine yet.
Be the first one to post

Social recommendations and mentions

Google Custom Search Engine might be a bit more popular than ElasticSearch. We know about 22 links to it since March 2021 and only 17 links to ElasticSearch. 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: almost 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: about 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
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Google Custom Search Engine mentions (22)

  • Website Search Hurts My Feelings
    There are actually plenty of non-ES products that are way easier to integrate and tune (and get better results with less effort). - Typesense (https://github.com/typesense/typesense). - Source: Hacker News / over 1 year ago
  • How To De-index Your Docs From Google (And Then Fix It)
    One other important detail — there is an in-site search for the C7 docs. Notably, it is built on a programmable Google search engine. Basically, that means that the search functionality on the site is powered by Google. A search query entered into the C7 docs search box gives basically the same results as entering the query on google.com and filtering by site:docs.camunda.org. Again, "foreshadowing....". - Source: dev.to / over 1 year 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
  • Mullvad Leta
    We used this for a project: https://programmablesearchengine.google.com/about/ before we moved to Elastic Search. It has a REST API (and can be used to query the internet also). - Source: Hacker News / almost 2 years ago
  • Tutorial: Create an AI agent that reads Wikipedia for you
    First, you need to create a programmable search engine for Wikipedia. - Source: dev.to / about 2 years ago
View more

What are some alternatives?

When comparing ElasticSearch and Google Custom Search Engine, 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.

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

Swiftype - The simplest way to add search to your website or application. Sign up for free.

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

Site Search 360 - Site Search 360 enhances and improves your built-in CMS or product search with autocompletion, semantic search, filters, facets, detailed analytics, and a whole lot of customization options.

Meilisearch - Ultra relevant, instant, and typo-tolerant full-text search API