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ScaleGrid VS ElasticSearch

Compare ScaleGrid VS ElasticSearch and see what are their differences

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ScaleGrid logo ScaleGrid

MongoDB & Redis hosting database-as-a-service

ElasticSearch logo ElasticSearch

Elasticsearch is an open source, distributed, RESTful search engine.
  • ScaleGrid Landing page
    Landing page //
    2023-01-17
  • ElasticSearch Landing page
    Landing page //
    2023-10-10

ScaleGrid features and specs

  • Database Management Automation
    ScaleGrid automates many database management tasks such as backups, scaling, and updates, allowing users to focus on application development.
  • Multi-Cloud Support
    ScaleGrid offers support for multiple cloud providers, like AWS, Azure, and GCP, enabling flexibility in cloud environment deployment.
  • Wide Range of Database Support
    The platform supports various databases including MongoDB, MySQL, PostgreSQL, and Redis, providing versatility for different needs.
  • Customizable Control
    It allows for a high level of customization and control over database configurations, which can be tailored to specific application needs.
  • Real-Time Monitoring and Analytics
    ScaleGrid provides powerful monitoring and analytics tools in real-time, assisting in proactive performance management and optimization.

Possible disadvantages of ScaleGrid

  • Pricing Complexity
    Users may find the pricing model complex and not entirely transparent, which could make cost predictions challenging.
  • Learning Curve
    For new users, there might be a steep learning curve associated with configuring and managing various database types.
  • Limited Integrated Tools
    Compared to some competitors, ScaleGrid might have fewer integrated tools and native support for certain development tools.
  • Support Limitations
    While support is available, some users might find the response times and availability less satisfactory compared to larger service providers.
  • Potential for Over-Customization
    The high degree of customization offered might lead to overly complex setups that are harder to manage without significant expertise.

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.

ScaleGrid videos

+ Add

Monthly Reports for MongoDB® Database - ScaleGrid

More videos:

  • Review - Slow Query Analyzer for MongoDB® Database - ScaleGrid DBaaS

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 ScaleGrid and ElasticSearch)

ScaleGrid

ElasticSearch

Database Management
100 100%
Database Management
0% 0
Custom Search Engine
0 0%
Custom Search Engine
100% 100
System & Hardware
100 100%
System & Hardware
0% 0
Custom Search
0 0%
Custom Search
100% 100

User comments

Share your experience with using ScaleGrid 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 ScaleGrid and ElasticSearch

ScaleGrid Reviews

We have no reviews of ScaleGrid 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 should be more popular than ScaleGrid. 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.

ScaleGrid mentions (4)

  • Managed Redis Services: 22 Service Compared
    Sign up at ScaleGrid Redis and select your preferred cloud provider. - Source: dev.to / 4 months ago
  • Top 8 Managed Postgres Providers
    Though these providers often get attention, other services such as ScaleGrid, Crunchy Data, IBM Cloud Databases for PostgreSQL, and ElephantSQL also provide useful features. Each one meets different needs, including flexibility, security, or ease of use. This makes them good options to think about for certain business purposes or smaller projects. - Source: dev.to / 10 months ago
  • Appropriate database for small scraping project
    It's overkill (and sqlite will be more than fine for your needs) - but check out a Postgres instance on scalegrid.io. Source: almost 2 years ago
  • Meteor Impact 2021 this week!
    Hackathon hosted by Meteor Software is now in full swing featuring teams from around the globe making amazing apps with Meteor. Don't miss the announcements of winners on Friday and check out our additional Hackathon sponsor Scalegrid. - Source: dev.to / over 3 years ago

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
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What are some alternatives?

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

Toad Edge - Windows GUI for MySQL. SQL Syntax Check. Freeware (Basic Features) & Payware (Extended Features).

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.

InterSystems IRIS - InterSystems IRIS Data Platform sets a new level of performance for rapidly developing and deploying applications. Learn how it can help your organization.

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

Apache Geode - Apache Geode is a distributed, in-memory database with strong data consistency, built to support transactional applications with low latency and high concurrency needs.

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

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