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SAP HANA VS ElasticSearch

Compare SAP HANA VS ElasticSearch and see what are their differences

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SAP HANA logo SAP HANA

SAP HANA is an in-memory, column-oriented, relational database management system.

ElasticSearch logo ElasticSearch

Elasticsearch is an open source, distributed, RESTful search engine.
  • SAP HANA Landing page
    Landing page //
    2023-09-17
  • ElasticSearch Landing page
    Landing page //
    2023-10-10

SAP HANA features and specs

  • High Performance
    SAP HANA offers real-time processing speeds by leveraging in-memory computing, which can significantly reduce the time it takes to access and analyze data.
  • Real-Time Analytics
    The platform enables organizations to perform real-time analytics, providing instant insights and allowing for rapid decision-making based on current data.
  • Scalability
    SAP HANA is designed to easily scale as an organization grows, accommodating increasing amounts of data without a decrease in performance.
  • Advanced Data Processing
    It supports advanced data processing capabilities including predictive analytics, spatial data processing, text analytics, and more, thereby enabling complex data analysis.
  • Unified Data Platform
    SAP HANA integrates various types of data sources into a single platform, simplifying data management and reducing complexity.

Possible disadvantages of SAP HANA

  • High Cost
    The licensing and operational costs associated with SAP HANA can be quite high, making it less accessible for small to mid-sized enterprises.
  • Complex Installation and Management
    Implementing and managing SAP HANA can be complex and may require specialized skills and training, which could also increase operational costs.
  • Hardware Requirements
    The platform often requires high-end, specialized hardware to operate efficiently, which adds to the initial investment and maintenance cost.
  • Vendor Lock-In
    Using SAP HANA can lead to vendor lock-in, making it difficult for organizations to switch to other platforms or integrate non-SAP solutions.
  • Resource Intensive
    SAP HANA is resource-intensive in terms of memory and CPU usage, which could be a limiting factor for companies with constrained IT 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 SAP HANA

Overall verdict

  • SAP HANA is considered a robust and powerful database management system, particularly beneficial for large enterprises that require advanced analytical capabilities and real-time data processing. Its high performance, scalability, and ability to handle complex business processes make it a popular choice. However, it may require significant investment and expertise to implement effectively.

Why this product is good

  • SAP HANA is an in-memory relational database management system that is designed to process transactions and analytics on a single copy of data, thereby reducing data redundancy and improving performance. It is highly efficient for real-time analytics and data processing, offering features such as advanced analytics, cloud integration, and simplified data management. Additionally, it supports both structured and unstructured data, making it versatile for diverse business needs.

Recommended for

    SAP HANA is recommended for large businesses and enterprises that manage significant volumes of data and need real-time analytics and processing capabilities. It is particularly beneficial for companies in industries like finance, retail, telecommunications, and manufacturing, where rapid data access and analysis are crucial for decision-making and operational efficiency.

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

SAP HANA videos

+ Add

SAP S/4HANA In 2 Minutes: Why SAP HANA?

More videos:

  • Demo - End-to-End SAP HANA Cloud Platform Demo
  • Review - SAP HANA Academy - XS Advanced: Code Review - myapp1

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 SAP HANA and ElasticSearch)

SAP HANA

ElasticSearch

Databases
100 100%
Databases
0% 0
Custom Search Engine
0 0%
Custom Search Engine
100% 100
Relational Databases
100 100%
Relational Databases
0% 0
Custom Search
0 0%
Custom Search
100% 100

User comments

Share your experience with using SAP HANA 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 SAP HANA and ElasticSearch

SAP HANA Reviews

Data Warehouse Tools
SAP HANA is an in-memory data warehouse solution designed for real-time analytics and integration with SAP applications. It offers exceptional performance for high-speed data processing.
Source: peliqan.io
16 Top Big Data Analytics Tools You Should Know About
SAP High-Performance ANalytical Appliance (SAP HANA) is an in-memory database developed by SAP. Its primary function as a database server is to store and retrieve data. It is used to analyze the large datasets on a real-time basis that are present entirely in its memory.
Source: www.analytixlabs.co.in

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.

SAP HANA mentions (0)

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

MySQL - The world's most popular open source database

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.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

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

Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

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

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