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Pathmatics VS ElasticSearch

Compare Pathmatics VS ElasticSearch and see what are their differences

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Pathmatics logo Pathmatics

Pathmatics provides actionable display and mobile intelligence to many brands, agencies, publishers, and advertisers.

ElasticSearch logo ElasticSearch

Elasticsearch is an open source, distributed, RESTful search engine.
  • Pathmatics Landing page
    Landing page //
    2023-06-21
  • ElasticSearch Landing page
    Landing page //
    2023-10-10

Pathmatics features and specs

  • Comprehensive Ad Intelligence
    Pathmatics provides in-depth insights into digital advertising campaigns across various platforms, allowing users to see where competitors are spending their ad dollars and what creatives they are using.
  • User-Friendly Interface
    The platform is designed with a focus on usability, making it easier for both seasoned marketers and newcomers to navigate the tool and extract valuable insights.
  • Real-Time Data
    Pathmatics offers real-time data and reports, ensuring that users have access to the most recent information on digital ad campaigns, spending patterns, and more.
  • Customizable Reporting
    Users can generate custom reports tailored to their specific needs, enabling them to focus on the metrics and data points that matter most to their business.
  • Competitive Analysis
    The platform excels in competitive analysis, offering powerful tools to compare your advertising efforts against competitors and identify new opportunities for growth.

Possible disadvantages of Pathmatics

  • Pricing
    Pathmatics can be quite expensive, particularly for small businesses or startups with limited budgets. This could limit accessibility for some potential users.
  • Platform Limitations
    While Pathmatics covers a wide range of digital platforms, it may not include all possible advertising channels, potentially leaving out niche or emerging platforms.
  • Learning Curve
    Despite the user-friendly interface, there is still a learning curve for new users to become proficient in navigating the tool and using all of its features effectively.
  • Data Accuracy
    Although generally reliable, there can be occasional discrepancies in data accuracy, which may affect the precision of competitive analysis and decision-making.
  • Customization Restrictions
    While the reporting features are robust, there might be some limitations in how deeply you can customize data views and reports to fit specific, unique needs.

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.

Analysis of Pathmatics

Overall verdict

  • Yes, Pathmatics is considered good for businesses that require robust digital ad intelligence. It provides reliable data and valuable insights into digital advertising that can enhance marketing strategies.

Why this product is good

  • Pathmatics provides actionable insights into digital advertising trends by tracking and analyzing ad spend, creatives, and impressions across various platforms. It is known for offering transparency and detailed data, which can help businesses make informed marketing decisions. Their data visualization tools and comprehensive reports are highly regarded in the industry.

Recommended for

  • Digital marketers looking to optimize their advertising strategies.
  • Business analysts seeking detailed ad spend and impression data.
  • Advertisers needing competitive intelligence on ad creative and placements.
  • Agencies looking for detailed market insights to guide client campaigns.

Analysis of ElasticSearch

Overall verdict

  • Yes, Elasticsearch is widely regarded as a top-tier solution for search and analytics applications. Its balance of speed, scalability, and adaptability to various data sets and systems makes it a popular choice across industries. However, it can be complex to set up and manage at scale, so some expertise is beneficial.

Why this product is good

  • Elasticsearch, developed by Elastic.co, is considered a powerful and flexible search and analytics engine. It's renowned for its scalability, speed, and support for complex search functionalities. Officially integrated into the Elastic Stack, it offers robust indexing and real-time search capabilities, making it an ideal choice for large-scale data search and analysis. It has a vibrant community and extensive documentation, which add to its appeal. Users appreciate its ability to handle a vast amount of data efficiently and its seamless integration with other tools like Kibana and Logstash.

Recommended for

  • Organizations needing a reliable, scalable search engine for large datasets
  • Developers building applications with complex search queries and analytics
  • Businesses wanting to perform real-time data analysis and visualization
  • Companies looking for a component within a larger log or event data management solution
  • Engineering and IT teams seeking to integrate search capabilities into existing systems

Pathmatics videos

+ Add

2020 and Pathmatics : A Year In Review

More videos:

  • Review - Pathmatics & Mintel - Who Doesn't Like Pizza?
  • Review - Pathmatics Ad of the Week, Episode #1 - TD Bank Group

ElasticSearch videos

+ Add

What is Elasticsearch?

More videos:

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

Category Popularity

0-100% (relative to Pathmatics and ElasticSearch)

Pathmatics

ElasticSearch

SEO
100 100%
SEO
0% 0
Custom Search Engine
0 0%
Custom Search Engine
100% 100
Marketing Platform
100 100%
Marketing Platform
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 Pathmatics and ElasticSearch

Pathmatics Reviews

We have no reviews of Pathmatics yet.
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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.
Source: doris.apache.org
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...
Source: ascendixtech.com
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.
Source: influencermarketinghub.com
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

Social recommendations and mentions

Based on our record, ElasticSearch seems to be more popular. It has been mentiond 17 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.

Pathmatics mentions (0)

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

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: about 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: over 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
View more

What are some alternatives?

When comparing Pathmatics and ElasticSearch, you can also consider the following products

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

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.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

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

HubSpot Marketing Hub - HubSpot is a cloud-based inbound marketing software that allows businesses to transform the way that they market online.

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

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