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Vertica VS ElasticSearch

Compare Vertica VS ElasticSearch and see what are their differences

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Turn SQL Data into Decisions. Build professional dashboards and data visualizations without technical expertise. Easily embed analytics anywhere, receive automated alerts, and discover AI-powered insights all through a straightforward interface. featured
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Vertica logo Vertica

Vertica is a grid-based, column-oriented database designed to manage large, fast-growing volumes of...

ElasticSearch logo ElasticSearch

Elasticsearch is an open source, distributed, RESTful search engine.
  • Vertica Landing page
    Landing page //
    2023-09-19
  • ElasticSearch Landing page
    Landing page //
    2023-10-10

Vertica features and specs

  • High Performance
    Vertica is designed for high-performance query execution. It uses columnar storage and advanced compression techniques to speed up query processing and reduce storage costs.
  • Scalability
    Vertica can scale out to support large datasets and many concurrent users. It allows for distributed computing, which helps in handling massive amounts of data efficiently.
  • Advanced Analytics
    Vertica supports advanced analytics functionalities including machine learning, time series, and geospatial analytics, making it suitable for complex analytical needs.
  • Integration
    Vertica integrates well with other data tools and platforms. It has connectors for various ETL tools, data visualization software, and programming languages.
  • Real-Time Analytics
    Vertica offers real-time analytics capabilities, which allow businesses to get immediate insights from streaming data.
  • High Availability
    Vertica offers high availability features, including data replication and failover mechanisms, ensuring that the database is always operational.

Possible disadvantages of Vertica

  • Complexity
    Vertica can be complex to set up and manage, requiring specialized knowledge and skills to administer the system effectively.
  • Cost
    The licensing and operational costs of Vertica can be high, making it less suitable for small businesses with limited budgets.
  • Resource Intensive
    Vertica can be resource-intensive, requiring significant CPU, memory, and storage resources, which can be a challenge for organizations with limited infrastructure.
  • Limited Documentation
    Some users have reported issues with the quality and comprehensiveness of Vertica’s documentation, which can make troubleshooting and advanced configurations difficult.
  • Vendor Lock-In
    As a proprietary system, Vertica can create dependency on the vendor for support and updates, which might be a concern for some organizations.
  • Integration Challenges
    While Vertica offers various integrations, there can still be challenges in integrating with certain niche or custom applications, requiring additional development effort.

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 Vertica

Overall verdict

  • Vertica is generally regarded as a very good solution for businesses needing an advanced analytical database. It is particularly well-suited for organizations requiring fast query performance and advanced analytical capabilities over large datasets.

Why this product is good

  • Vertica is considered a powerful analytic database used by many organizations due to its columnar storage architecture, which is optimized for handling large volumes of data with high-performance capabilities. It supports rapid querying, real-time analytics, and machine learning, making it a versatile choice for data engineers and analysts. Additionally, Vertica provides robust scalability, integration options, and a comprehensive set of tools for data analysis and visualization.

Recommended for

  • Organizations handling big data analytics
  • Data-driven companies requiring real-time insights
  • Businesses in need of a scalable, high-performance database solution
  • Industries that rely heavily on data analysis, such as finance, healthcare, and telecommunications

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

Vertica videos

+ Add

A $100 mouse you hold like THIS?? - Logitech MX Vertical Review

More videos:

  • Review - Public preview of Tower C at M Vertica by Mah Sing
  • Demo - Vertica Demo: Introduction to Vertica In-database Machine Learning

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 Vertica and ElasticSearch)

Vertica

ElasticSearch

Databases
100 100%
Databases
0% 0
Custom Search Engine
0 0%
Custom Search Engine
100% 100
Big Data
100 100%
Big Data
0% 0
Custom Search
0 0%
Custom Search
100% 100

User comments

Share your experience with using Vertica 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 Vertica and ElasticSearch

Vertica Reviews

We have no reviews of Vertica yet.
Be the first one to post

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.

Vertica mentions (0)

We have not tracked any mentions of Vertica yet. Tracking of Vertica 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 Vertica and ElasticSearch, you can also consider the following products

Amazon Redshift - Learn about Amazon Redshift cloud data warehouse.

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.

LibreOffice - Base - Base, database, database frontend, LibreOffice, ODF, Open Standards, SQL, ODBC

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

Microsoft Office Access - Access is now much more than a way to create desktop databases. It’s an easy-to-use tool for quickly creating browser-based database applications.

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

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