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ElasticSearch VS Otter.ai

Compare ElasticSearch VS Otter.ai and see what are their differences

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ElasticSearch logo ElasticSearch

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

Otter.ai logo Otter.ai

Your AI meeting assistant that takes live notes and generates summaries and other insights using Meeting GenAI.
  • ElasticSearch Landing page
    Landing page //
    2023-10-10
  • Otter.ai Landing page
    Landing page //
    2024-05-21

Otter.ai uses an AI Meeting Assistant to transcribe meetings in real time, record audio, capture slides, extract action items, and generate an AI meeting summary.

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.

Otter.ai features and specs

  • Accuracy
    Otter.ai generally provides high accuracy in transcription, especially with clear audio input, which can save users substantial time on manual edits.
  • Real-Time Transcription
    The platform offers real-time transcription capabilities, allowing users to view the text as it is being spoken.
  • Integrations
    Otter.ai integrates well with other popular tools like Zoom, Google Meet, Dropbox, and Microsoft Teams, enhancing its utility in professional environments.
  • Searchable Transcripts
    Transcripts are fully searchable, which helps in quickly finding specific parts of the conversation without having to go through the entire text.
  • Speaker Identification
    Otter.ai can differentiate between speakers, which is extremely useful for meetings, interviews, and group discussions.
  • Collaboration Features
    The platform offers functionalities such as shared notes and team collaboration, making it easier for multiple people to work together on a single project.
  • Affordability
    Compared to some professional transcription services, Otter.ai offers competitive pricing, even offering a free tier with basic functionalities.

Possible disadvantages of Otter.ai

  • Privacy Concerns
    As with any cloud-based service, there are potential privacy concerns related to data storage and sharing. Sensitive information might be at risk.
  • Accents and Dialects
    While generally accurate, Otter.ai can struggle with heavy accents, dialects, or non-standard speech patterns, which may require more manual corrections.
  • Contextual Understanding
    The AI may misinterpret context-specific jargon, slangs, or technical terms, which could lead to incorrect transcriptions.
  • Limitations in Free Plan
    The free plan offers limited transcription minutes per month and lacks some of the advanced features like bulk export and custom vocabulary.
  • Manual Reviewing
    Despite high accuracy, some level of manual review and editing is often still necessary to ensure complete correctness.
  • Limited Language Support
    Currently, Otter.ai predominantly supports English, limiting its utility for non-English speakers or multilingual contexts.

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

ElasticSearch videos

+ Add

What is Elasticsearch?

More videos:

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

Otter.ai videos

+ Add

Otter.ai Review - The Secret To Fast Content Creation?

More videos:

  • Review - Otter Live Notes For Zoom Review | Phil Pallen
  • Tutorial - How to set up Otter Live Notes & Live Captions for Zoom

Category Popularity

0-100% (relative to ElasticSearch and Otter.ai)

ElasticSearch

Otter.ai

Custom Search Engine
100 100%
Custom Search Engine
0% 0
AI
0 0%
AI
100% 100
Custom Search
100 100%
Custom Search
0% 0
Transcription
0 0%
Transcription
100% 100

User comments

Share your experience with using ElasticSearch and Otter.ai. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare ElasticSearch and Otter.ai

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

Otter.ai Reviews

  1. Fraser
    · Co-founder at Lyfeguard ·
    Initiative and cross-purpose AI

    Software is great & good to see sales being considered more with CRM integrations. Only pain point is inability to download summaries as PDFs

    👍 Pros:    Easy user interface|Excellent features
Top Otter AI Alternatives in 2024
From there, you can work backwards and begin to identify what the best transcription software for you may be. Analyzing all Otter AI competitors and understanding your requirements before settling on a transcription tool will ensure the tool aligns with your specific needs and preferences. Take the time to do your research and explore all Otter.ai competitors. It's important...
Source: meetingnotes.com
10 Best Free Transcription Software & Tools for Quick Transcripts
Otter AI is a user-friendly transcription software program designed to accommodate note-takers. This system includes intuitive live transcription tools that convert audio to text while you’re speaking. Otter can connect to a range of other systems and applications, making it easy to build it into your digital workplace.
Source: riverside.fm
The 12 Best Notta.ai Alternatives for Better Transcription in 2024
Otter.ai focuses on real-time transcription and meeting summarization. It offers tools to transcribe, share, and search conversations across multiple platforms. This service is useful for professionals who need to keep accurate records of meetings, interviews, and other conversations.
Source: sonix.ai
15 Best AI Transcription Software & Services
Otter.ai offers a free plan accommodating up to 600 minutes of transcription per month. Its user-friendly interface supports multiple languages and accents.
Source: escribr.com
Top 31 ChatGPT alternatives that will blow your mind in 2023 (Free & Paid)
You can enjoy using Otter absolutely free of charge. For those who crave just a bit more, the Premium subscription offers an amazing deal of $17 a month, while Business subscribers can benefit from a $30 monthly plan, which includes a seven-day free trial!
Source: writesonic.com

Social recommendations and mentions

Based on our record, ElasticSearch should be more popular than Otter.ai. 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.

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

Otter.ai mentions (3)

  • 15 AI tools that almost replace a full dev team but please don’t fire us yet
    Otter.ai: Auto-record, transcribe, and tag meetings. - Source: dev.to / about 1 month ago
  • Ask HN: Examples of Agentic LLM Systems in Production?
    We use LLMs to do proofreading and editing of transcripts after they are edited by people. They are good at applying our customer's specific requirements (e.g. capitalization, formatting, etc.) without us having our folks worry about any of that. We use https://transcriberai.com or https://otter.ai/ (there are a bunch) to create the first transcript for our transcriptionists. - Source: Hacker News / 6 months ago
  • Ask HN: How to transcribe 1000s of handwritten notes
    Some good transcription solutions: https://zapier.com/blog/best-text-dictation-software/#windowsspeech https://otter.ai/ (Haven't actually tried Otter, but it gets a LOT of good reviews.). - Source: Hacker News / about 1 year ago
  • How to build a Google Meet AI assistant app in 10 minutes without coding
    Of course, there are many existing solutions like Otter.ai or Fathom in the market. But in case you want to build a tool yourself and customize the output of it, then you are on the same page as me. To develop this application, we will use Unbody to convert input video transcriptions into intelligence/generative content and Appsmith to make it easy to design and build the UI of our app without extensive front-end... - Source: dev.to / over 1 year ago
  • I'm looking for a particular type of software and I don't know where else to go.
    This is weird but I wonder if you could use something like https://otter.ai/. Record your notes as you are going. That should give you at least text of all of your welds. You’d still have to punch it later. Seems like there’s got to be a better way to do this. Stopping every time to break your flow sounds like a huge pain in the ass. Curious what you come up with. Source: over 1 year ago

What are some alternatives?

When comparing ElasticSearch and Otter.ai, 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.

Fireflies.ai - Record, transcribe and search your calls

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

Sonix.ai - Automatically convert audio & video to text in minutes

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

HappyScribe - Happy Scribe automatically transcribes your interviews

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