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Flatfile VS ElasticSearch

Compare Flatfile VS ElasticSearch and see what are their differences

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Flatfile logo Flatfile

The new standard for data import

ElasticSearch logo ElasticSearch

Elasticsearch is an open source, distributed, RESTful search engine.
  • Flatfile Landing page
    Landing page //
    2023-10-09
  • ElasticSearch Landing page
    Landing page //
    2023-10-10

Flatfile features and specs

  • User-friendly Interface
    Flatfile provides an intuitive and easy-to-use interface for data import, reducing the complexity for users without technical expertise.
  • Automated Data Cleaning
    The platform offers automated data cleaning features, such as error detection and data validation, enhancing data quality and reducing time spent on manual corrections.
  • Customizable Workflows
    Users can create and customize data import workflows to fit specific needs, offering flexibility in handling various data sources and structures.
  • Integration Capabilities
    Flatfile integrates seamlessly with a wide range of applications and systems, facilitating easy data transfer and synchronization across platforms.

Possible disadvantages of Flatfile

  • Pricing Structure
    Flatfile can become costly for small businesses or startups as the pricing may scale with the volume of data or number of users.
  • Feature Set Limitations
    There may be limitations in the features offered for specific data transformation or visualization needs which some advanced users might find restrictive.
  • Learning Curve for Customization
    While offering customizable workflows, users may face a learning curve when trying to implement complex customization, potentially requiring additional support or resources.

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 Flatfile

Overall verdict

  • Flatfile is generally regarded as a good solution for businesses looking to simplify and improve their data import processes. It has received positive reviews for its ease of use, robust features, and the ability to integrate seamlessly with various systems. However, its effectiveness and suitability can depend on specific use cases and organizational needs.

Why this product is good

  • Flatfile is a data onboarding platform designed to streamline the process of importing, validating, and transforming data. It offers an intuitive user interface with features such as data mapping, error detection, and real-time collaboration, making it easier for users to handle complex data import tasks. Many users appreciate its ability to reduce time spent on data cleaning and preparation, ensuring that end-users can quickly import data without technical expertise.

Recommended for

    Flatfile is recommended for organizations and teams that frequently need to handle and import large datasets from various sources. It's especially beneficial for software companies, data analysts, and businesses that want to provide their customers with an easy and efficient way to import data into their platforms.

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

Flatfile videos

+ Add

Flatfile Portal Overview

More videos:

  • Review - Flatfile Overview - Data onboarding made easy

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 Flatfile and ElasticSearch)

Flatfile

ElasticSearch

Developer Tools
100 100%
Developer Tools
0% 0
Custom Search Engine
0 0%
Custom Search Engine
100% 100
APIs
100 100%
APIs
0% 0
Custom Search
0 0%
Custom Search
100% 100

User comments

Share your experience with using Flatfile and ElasticSearch. 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 Flatfile and ElasticSearch

Flatfile Reviews

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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 should be more popular than Flatfile. 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.

Flatfile mentions (8)

  • Top 3 SaaS Services for Importing CSV Files
    Created in 2018 by David Boskovic and Eric Crane, Flatfile has since become an all-in-one platform after raising $100 million across multiple investment rounds in six years. It describes itself as the “easiest, fastest, and safest way for developers to build the ideal data file important experience.”. - Source: dev.to / 12 months ago
  • Was Y Combinator worth it?
    Not all that curious... https://flatfile.com If you're building a vertical SaaS and want to support import from a file, and don't want to spend time reinventing the wheel, this could be a big win. This would let new users bring in existing data from another SaaS (that supports CSV export) or where the incumbent is likely to be Excel. The development time it would take to make something like this solid, usable, and... - Source: Hacker News / almost 2 years ago
  • How to integrate data import functionality into your app
    If you are a software developer, think about how you could add the data import, transformation, and validation functionality to your web app in only a few minutes with your JavaScript and React knowledge using built-in SDK and libraries. You can think of using SDK such as the front-end Embed React library in the Flatfile. If you need to define more complex data validation rules in a backend, you can request... - Source: dev.to / almost 2 years ago
  • YoBulk: Open Source CSV importer powered by GPT3 ( Free flatfile.com alternative )
    YoBulk is an open-source CSV importer for any SaaS application - It's a free alternative to https://flatfile.com/. Source: over 2 years ago
  • Show HN: YoBulk – open-source GPT powered CSV importer[Flatfile.com alternative]
    Hey Everybody, We are really excited to open source YoBulk today. YoBulk is an open source CSV importer for any SaaS application - It's a free alternative to https://flatfile.com/ Why are we building YoBulk: In our previous startup, we were receiving CSV files from various billboard screen owners every day, following a specific template that we defined. Despite the well-defined template, the CSV files we received... - Source: Hacker News / over 2 years ago
View more

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 Flatfile and ElasticSearch, you can also consider the following products

csvbox - Spreadsheet importer for your web app, SaaS or API

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.

Backand - Backand is a backend-as-a-service for AngularJS that provides out-of-the-box social login, push notifications, Ionic integration and more.

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

Flatfile 3.0 – Embeds - Meet Flatfile 3.0, the fully re-imagined platform for onboarding customer data into your product.

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

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