Elastic

Elasticsearch

4.5 / 5 42 reviews


Average Ratings

42 Reviews
  • 4.5 / 5
    Overall
  • 4 / 5
    Ease of Use
  • 4 / 5
    Customer Service

Product Details

  • Starting Price
    Not provided by vendor
  • Free Trial
    Yes
  • Deployment
    Cloud, SaaS, Web
  • Training
    Documentation
    Webinars
    Live Online
  • Support
    Online
    Business Hours
    24/7 (Live Rep)

Vendor Details

  • Elastic
  • www.elastic.co/
  • Founded 2012
  • United States

About Elasticsearch

Elasticsearch is a distributed, RESTful search and analytics engine based on Apache Lucene, capable of storing data, and search it in near real time. Elasticsearch, Logstash, Kibana and Beats make up the "Elastic Stack" developed by Elastic. Hosted Elasticsearch (Elastic Cloud) is also provided.


Elasticsearch Features

  • Collaboration
  • Data Blends
  • Data Cleansing
  • Data Mining
  • Data Visualization
  • Data Warehousing
  • High Volume Processing
  • No-Code Sandbox
  • Predictive Analytics
  • Templates
  • Analytics
  • Content Management
  • Dashboard Creation
  • Filtered Views
  • OLAP
  • Relational Display
  • Simulation Models
  • Visual Discovery

Elasticsearch Reviews Recently Reviewed!


ElasticSearch is basically Google for all your personal data uses!

Aug 10, 2018
5/5
Overall
5 / 5
Ease of Use
4 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: 1) The speed is mind boggling. Whether it is searching or aggregation, you see instantaneous results.

2) You can store all kinds of data, structured, unstructured, geo, metrics, numbers, anything.

3) Powerful indexing, so you have both a resilient database as well as blazing fast search engine.

4) As it's name suggests, it is very "elastic", by being scaleable to even petabytes of data.

5) Cross platform and distributed architecture, as well as being structurally able to survive network partition, Elastic Search not only grows, but also keeps all of its features in any situation,

6) Any sort of analysis is possible on data, especially useful if Big Data is involved, as the underlying Lucence architecture employs inverted indices and BKD trees for data handling.

7) Replication is a great addition, as your data is always safe from a single point of failure.

8) Communication through HTTP REST API, and dealign with schema less JSON documents really improves performance compared to the traditional relational databases.

9) It can be extended to the ELK stack, with the data ingestion tool Logstash and the data visualization tool Kibana.

I have been using the ELK stack to monitor a sensor network, and by using Logstash to gather data, index it into Elastic Search, and perform aggregations and analysis and view them on Kibana, it has truly helped improve real-time monitoring and is a must have for IOT applications.

Cons: Elastic search is really amazing, and the documentation is fantastic, as well as the videos provided on youtube for free.

Overall: Search, search, search. It is blazingly fast, while keeping your data safe, resilient and being scaleable.

Elasticsearch provides data storage at scale

Aug 06, 2018
5/5
Overall
3 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: Simply put Elasticsearch is the best scaling data storage software I've ever used. It's effortless to add additional nodes to your Elasticsearch cluster and similarly effortless to manage data replication and failover states.

I also very much like the ELK stack of products that exist along with Elasticsearch. The features they provide in the free version of ELK are powerful already - but the premium version really does unlock the full potential of what Elasticsearch can do.

Cons: The biggest drawback of the Elasticsearch stack is that it requires a bit of a different mindset for developer and database admins coming from experience with a relational database like MySQL. Understanding how Elasticsearch stores their data and the vocublary associated with it provides a definite barrier to entry. Once you overcome that barrier, however, it becomes far easier to utilize to its full potential.

Overall: I've migrated multiple projects from various database solutions that were either too expensive or didn't scale to Elasticsearch.

Capterra-loader

Essential tool for all my devops needs

Sep 05, 2018
5/5
Overall
4 / 5
Ease of Use
4 / 5
Features & Functionality
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Pros: I've been using Elasticsearch since early days, with very different things in mind.

I started with simple text search - with some additional tweaks, stemming and other cool features it helped us drive enormous traffic to our website. I can't imaging pulling it off so easily with any other tool.

Every day I use it for web server log analytics. Search and great visualizations make it an absolute essential in work my toolset.

We also run a lot of algorithm analytics on top of our Elasticsearch cluster.

If you're looking for managed options check AWS Elasticsearch Service, or the recently introduced Elastic Cloud.

Cons: My only concern with Elasticsearch is that it might get expensive to run pretty quickly. But with a certain amount of effort put into optimization it's gonna be worth it.

Elastic Search is built on top of Lucene, it provides the most powerful full-text search capability

Aug 23, 2017
4/5
Overall
5 / 5
Ease of Use
4 / 5
Features & Functionality
4 / 5
Customer Support
4 / 5
Value for Money
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Pros: Easier to horizontally scale

Distributed by design

Excellent full-text search

Elastic Search is schema free┬┐instead, it accepts JSON documents, as well as tries to detect the data structure, index the data, and make it searchable.

Elastic Search is document-oriented. It stores real world complex entities as structured JSON documents and indexes all fields by default, with a higher performance result.

Elastic Search is API driven; actions can be performed using a simple Restful API.

Elastic Search records any changes made in transactions logs on multiple nodes in the cluster to minimize the chance of data loss.

Cons: Elastic-search query DSL is less common and less flexible than Postgres SQL .

Everything is indexed by default, which creates an index overhead.

in order to understand how to properly query your data and how it is stored, you have less control over consistency.

Great and innovative software

Jan 19, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
3 / 5
Customer Support
4 / 5
Value for Money
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Pros: - Easy installation and upgrades

- Great documentation

- Active and big community

- You can easily scale (high availability)

- Very fast searching

- Verified by large companies

- REST API

Cons: - Java is needed (Java = security problems)

- Slow service's start

- Elasticsearch by it own is almost useless. So you need additional software like Kibana, Grafana, Logstash,...

Overall: Elasticsearch provides central storage for our application and audit logs.

Best product for search and aggregations

Aug 09, 2017
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: The search is very good and very fast in response.

Documentation is very good for writing NoSQL queries.

Libraries are there for 90% of popular languages.

Cons: It would be good to create a standardization for NoSQL.

It would be great, Elastic search provides IDE to write the queries rather than editors.

Overall: Great full text capabilities.

Highly scale able .

Good documentation.

Good set of libraries.

Managing big databases

Jun 28, 2018
5/5
Overall
5 / 5
Ease of Use
4 / 5
Features & Functionality

Pros: The product is very popular among many companies, therefore there is a big community who can share their knowledge, the search is very fast and the installation process and integration are very easy.

Cons: I leas like the Elasticsearch itself does not provide much except just storing the information, the additional tools (Kibana and Logstash) are required.

Capterra-loader

One of the best text-based search products in the marketing.

Jan 16, 2018
5/5
Overall
4 / 5
Ease of Use
5 / 5
Features & Functionality
4 / 5
Customer Support
5 / 5
Value for Money
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Pros: * Easy to use, especially when compared with alternatives s.a. Solr.

* Free software.

* Elastic has a great customer support.

* It is very powerful, supporting heavy loads.

* Well-documented.

Cons: * Demands a specific knowledge of the theory of search.

* While way higher level than most services, it is not as high level as, let us say, a Google search.

* Often used as a NoSQL in inappropriate settings.

Overall: We get to solve our search scalability problems on our on-premise product with the ease and consistency of Elasticsearch.

Fastest and easy data storage and search engine

Nov 14, 2017
5/5
Overall
4 / 5
Ease of Use
4 / 5
Features & Functionality
5 / 5
Customer Support
4 / 5
Value for Money

Pros: Elasticsearch stores and search through data in a distributed manner. Available to integrate with most of the programming languages to integrate with own application. Also provides rest api to directly integrate through command line or browser. Easier to add and remove cluster nodes for larger distributed datastore.

Cons: It requires large heap memory for better performance since is based on JVM. The datastore handles text only.

Capterra-loader

Elasticsearch is wonderful free software. It is fast, scalable and easy to use.

Mar 07, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: Free!

API driven

Scalable multi-node architecture.

Easy to understand JSON

Tight integration with logstash and the rest of their stack

Cons: The steep initial learning curve

Their own log format is often difficult to parse

Some features are only available in the paid product.

Great software. We use it everyday to index and find items of interest

Jun 12, 2017
5/5
Overall
4 / 5
Ease of Use
5 / 5
Features & Functionality
4 / 5
Customer Support

Pros: How it is designed to make search fast with the replicated indexes. It is also well designed to handle complex structured data and queries.

Cons: There is not as much admin interface to help manage the indexes. At times the cluster turns yellow due to shards being re-allocated.

Capterra-loader

Significant upgrade to our search capabilities

Aug 31, 2018
4/5
Overall
3 / 5
Ease of Use
4 / 5
Features & Functionality
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Pros: The flexibility, it's free, large community and plenty of tools

Cons: You have to use 3rd party tools in order to make the best of it (management mainly).

It's JAVA, so GC could be an issue.

Overall: We refactored our search engine and used ElasticSearch as a back-end.

Capterra-loader

Best out there, hard to master.

Aug 17, 2018
5/5
Overall
3 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Value for Money
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Pros: * It's free

* Very powerful tools - can do almost anything with a single query

* Works on any data

Cons: There is quite a bit of a learning curve.

Syntax could really mess the intentions up.

There is a difference between 'filter' and 'filters', 'term' and 'terms' filters and that's the beginning. Even basic tasks like searching if a field exists are not as straightforward as key and value.

Queries could be very long and not very declarative.

Overall: I'd definitely recommend to anyone. Just take your time to study it carefully as its powerful tools requires mastering.

Amazing product

Oct 17, 2017
5/5
Overall
4 / 5
Ease of Use
5 / 5
Features & Functionality
2 / 5
Customer Support
5 / 5
Value for Money
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Pros: Flexible, great API support, active development so new features are added all the time, open source, can scale

Cons: Sometimes cluster goes down without much information what happened. No troubleshooting tools that are easily available, have to plaugh through logs

Overall: Free (open source) software with so much feature and best search functionality.

Capterra-loader

Highly scalable search functionality

Jul 19, 2018
4/5
Overall
4 / 5
Ease of Use
4 / 5
Features & Functionality
5 / 5
Customer Support
3 / 5
Value for Money
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Pros: If you worked in a big online store on the analytics side you can really understand the hard work that this software is doing, and the value that it adds to your conversion rate.

It has great potential and used in combination with Kibana it proves a very good choice for fast and great search results.

Cons: Depending on your users conversion rate and volume it can become a high cost operation, if you have low margins.

The best free data aggregation tool out there!

Apr 20, 2018
5/5
Overall
4 / 5
Ease of Use
5 / 5
Features & Functionality
4 / 5
Customer Support
5 / 5
Value for Money
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Pros: Elasticsearch (as part of the ELK stack, which includes Logstash and Kibana) is the best free alternative to other data aggregation tools like Splunk. It's incredibly fast and sits behind a REST API that's easy to use, and easy to understand.

Cons: Elasticsearch by itself is not an "end user product". You need to use Kibana, Grafana, or something similar to more easily view the data contained in Elasticsearch.

Powerful tool to create a rich search engine experience

Jun 19, 2018
4/5
Overall
3 / 5
Ease of Use
5 / 5
Features & Functionality
3 / 5
Customer Support
4 / 5
Value for Money
Likelihood to Recommend: 9.0/10 Not
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Pros: ElasticSearch, as of Solr, is the right tool if you want to create a powerful search engine inside an application or a website. Indexing documents can be done through a REST API, as for querying data. Most of the modern frameworks and content management systems can ship with modules that interact with ElasticSearch to index and retrieve documents. For most complex systems, you can implement synonyms, auto-completion, auto-correction (using fuzzy search), and also configure how results should be sorted using a full text search. Searching with complicated parameters is really fast using ElasticSearch, and you can also retrieve facets to display to restrict results when needed.

Cons: Learning ElasticSearch seems to be a bit more difficult than learning it's competitor, Solr. In my experience, Solr has a better support for Drupal CMS which we use a lot in my company. But our last project using ElasticSearch was a success, thanks to all it's powerful features.

Overall: Developing a powerful and a fast search engine, dealing with content coming from various data sources, inside our website.

This is a game changer! This makes querying super fast and effective. Love it.

Feb 27, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money

Pros: The ease of use and the functionality makes us look great when we can present data so quickly to our users.

Cons: Nothing really, maybe the ability to do more fuzzy matching of data if possible. Otherwise, this software is amazing.

awesome to use with SELK's tools, and a great tool to search information about a computer attack

Dec 14, 2017
5/5
Overall
4 / 5
Ease of Use
5 / 5
Features & Functionality
2 / 5
Customer Support
5 / 5
Value for Money
Likelihood to Recommend: 8.0/10 Not
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Pros: -Amazing API

-Very fast to search information

-Is easy to install in a server

-If you use for pentesting, is a great tool to search information.

-is used by Elliot Alderson

Cons: -The documentation is poor

-Not suitable for transactions.

-Don't have support

-It is not useful for a personal desktop

Good for searching and analytics

Aug 24, 2017
5/5
Overall
3 / 5
Ease of Use
5 / 5
Features & Functionality
4 / 5
Customer Support
5 / 5
Value for Money
Likelihood to Recommend: 10.0/10 Not
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Pros: Best storage for searching, very quick in response

Documentation is good

Highly scalable

Good command line interface for administration

Cons: NoSQL help is not much clear with samples.

Not suitable for transactions.

Every NoSQL db has different standardization that makes little irritating

Not suitable for single pc installation

Totally worth using it, Great Search Performance, Scalable, Easy to use, Cloud Offering

Jun 06, 2018
4/5
Overall
4 / 5
Ease of Use
4 / 5
Features & Functionality
5 / 5
Customer Support
4 / 5
Value for Money
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Pros: Open Source Software

Compatible with all the latest technologies due to JSON support

Documentation & Support Service

Monitoring

Cons: Installation & Configuration is something I have struggled a bit especially while upgrading to a higher version. Therefore this is one area where there is some scope of improvement.

Overall: Fast Search Performance

JSON format is compatible with our API

It is exactly what we have been looking for i.e. search database which is not tightly coupled like other relational databases e.g. SQL

Elastic helped me manage my logs from the web server i created for my project

May 21, 2018
4/5
Overall
4 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
4 / 5
Value for Money

Pros: Easy to use.

indexing helps in increasing scalability.

good online tutorial.

few extensions helps in further personlization.

Cons: Understanding the tool for a beginner would be a challenging task.

Too many features with only a few to be used for a concentrated user.

Great product for search and reports

Aug 24, 2017
4/5
Overall
3 / 5
Ease of Use
4 / 5
Features & Functionality
3 / 5
Customer Support
4 / 5
Value for Money
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Pros: Good libraries to develop

Highly scalable and reliable

Great search capability

Good documentation

Good simple samples

Good for cloud deployment

Cons: Not suitable for transaction based system

Not suitable for installing in single server

Very less UI interface for development

Gives good performance when handling with large number of data/record

Aug 23, 2017
4/5
Overall
3 / 5
Ease of Use
3 / 5
Features & Functionality
3 / 5
Customer Support
3 / 5
Value for Money
Likelihood to Recommend: 6.0/10 Not
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Pros: Indexing is Fast

Replacing the RDBMS is good

Retrieval of records are fast

Easy to install and configure

Cons: Term is very confusing (i.e. should, must)

Query Structure is very complicated.

Built-in GUI Component should be there

Elasticsearch and all the ELK suite is the best way to monitor and analyse your system

May 04, 2018
4/5
Overall
4 / 5
Ease of Use
5 / 5
Features & Functionality

Pros: I love how fast is it. It's possible find text and object in a very rapid way. The ELK suite allow to create a monitoring system in a quite easy way. The beats very useful tool to collect information that come form a lot of different system

Cons: The elastic syntax is not so easy to learn. but with new release the sql format should make it easier.

Some times when you performs particular expensive operation elastic fail with strange error, however with a custom configuration is it possibile solve them.

Capterra-loader

The best tool for smart text

May 09, 2018
5/5
Overall
3 / 5
Ease of Use
5 / 5
Features & Functionality
2 / 5
Customer Support
4 / 5
Value for Money
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Pros: Excellent to use smart text, to management number of impression on search, distribution of data, autosuggest, soundex search. So more efficiently and quickly than search on a data base.

Cons: It has not a table of error, errors are so much generic. Documentation is very ambiguous and so short.

I used the Python library to interact with ELK.

Jun 12, 2017
5/5
Overall
4 / 5
Ease of Use
5 / 5
Features & Functionality
4 / 5
Customer Support
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Pros: Its flexibility ad X-pack options. It is also very easy to buikld an index and its Kibana interface is amazing.

Cons: The documentation and support has been a little muddled but I think that is getting a lot better. This may also be assisted by their hosted option.

A free alternative to paid juggernaughts

Apr 09, 2018
5/5
Overall
3 / 5
Ease of Use
3 / 5
Features & Functionality
3 / 5
Customer Support
5 / 5
Value for Money
Likelihood to Recommend: 2.0/10 Not
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Pros: The most appealing aspect of Elasticsearch is the price. It can perform well with a lot of tuning and can be tailored to your needs.

Cons: Ultimately, Elasticsearch needs a lot of tuning to perform well and a lot of care and feeding to be reliable. The money saved on running Elasticsearch is easily spent two and three fold on specialized labor to keep it running.

Overall: I used this software to easily and quickly search SIEM logs.

Data duplication and storage at scale

Jul 25, 2018
5/5
Overall
3 / 5
Ease of Use
4 / 5
Features & Functionality
3 / 5
Customer Support
5 / 5
Value for Money

Pros: Majorly extensible and scalable, clustered setups allow for fault-tolerance and data redundancy. Robustness of the servers is admirable.

Cons: Difficult to initially set up, with little or no documentation on issues you might encounter. Networking configuration needs to be airtight.

Capterra-loader

elasticsearch is great and can be used in many use cases, log analysis search server etc...

Feb 08, 2018
5/5
Overall
4 / 5
Ease of Use
4 / 5
Features & Functionality
4 / 5
Customer Support
5 / 5
Value for Money
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Pros: Low latency, clear API, searching is very easy and documents can be stored without any schema.

Geographic searches

Cons: No security out of the box, I need to secure it using X pack or by running it behind a reverse proxy.

Overall: Get insights from different log files and show them in one single interface.

Like name suggests it is elastic, distributed, RESTful search and analytics engine.

May 15, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
4 / 5
Customer Support
5 / 5
Value for Money

Pros: 1) It is NoSQL distributed database i.e non relational database working on triplets.

2) Free open source software.

Cons: 1) Can suffer from 5 V problems that are Velocity, Veracity, Value, Volume and Variety.

2) Query is less flexible than SQL query

Very happy with it.

Feb 01, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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Pros: I'm new to elasticsearch but I've used it to build an admin panel that reads my server logs (nginx, postfix ... ) and show detailed informations with logstash and kibana. It's very easy and quick to setup. I see a lot more use cases now that I've made the first step into ES, like converting a big mysql database into ES.

Cons: I don't like how the documentation is made, sometimes I get lost. Other than that I'm very satisfied with ElastickSearch and how it performs. There is a huge difference between it and a normal database.

Sidestep the most common challenges associated with implementing internal search engines

Jan 22, 2014
5/5
Overall

Comments: Using Qbox.io for hosted Elasticsearch allows developers to sidestep a number of the most common challenges associated with implementing internal search engines. In particular, Qbox.io users avoid having to monitor nodes themselves and wrestle with JVM heap size capacity planning. Because Qbox.io is provided as a service, developers who use the product do not have to worry about complicated topics like setup on AWS and RackSpace.

Pros: Qbox.io supports AWS and RackSpace

Cons: Qbox.io doesn't offer enough support for automatic scaling

Capterra-loader

Great open source solution for search

Feb 16, 2018
5/5
Overall
3 / 5
Ease of Use
4 / 5
Features & Functionality
4 / 5
Customer Support
5 / 5
Value for Money
Likelihood to Recommend: 9.0/10 Not
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Pros: I really like the flexibility of elasticsearch and its applicability to different contexts. For now we have analyzed it as an indexer aimed at a search function, but we know its potential even for log analysis.

Cons: It is a rather young product and some things can be improved, starting with the "confusion" on the role of the different components of the elastic stack. It would also be useful to have a native management GUI. Finally, in the elatic stack there is no module that crawls completely integrated.

Great for search, great for analytics

Feb 13, 2017
5/5
Overall
4 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Value for Money
Likelihood to Recommend: 8.0/10 Not
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Comments: Early Elasticsearch user and enthusiast, it's been my go-to software for all my search and basic analytics requirements. I've used it both for infrastructure / logging needs (with Logstash and Kibana) and applications (search, metrics).

Early days were not easy given sparse documentation, but right now it's a great product with lots of material to get you started.

To get the most out of Elasticsearch... you need DBaaS consultants

Aug 31, 2018
4/5
Overall
4 / 5
Ease of Use
5 / 5
Features & Functionality
3 / 5
Customer Support
4 / 5
Value for Money
Likelihood to Recommend: 9.0/10 Not
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Pros: Elasticsearch was able to give us so much more data than we were getting from Google Analytics. We needed something that could be more granular and customizable. We used ObjectRocket to help us set up and implement Elasticsearch with MongoDB.

Cons: The customer service wasn't the best. We really needed consultants to get the most out of the software.

experimenting with this as substitution for Apache solr

Apr 09, 2018
5/5
Overall
4 / 5
Ease of Use
5 / 5
Features & Functionality
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Pros: Very easy to set up and lean working with its interface. Tones of plug-ins for displaying data/graph analytics. It performance seems to be faster than solr on the same data. AND its opensource

Cons: Querying is not that simple and you will need to spend some time to get the hang of it for advanced use.

Good for indexing

Apr 16, 2018
4/5
Overall
3 / 5
Ease of Use
5 / 5
Features & Functionality
3 / 5
Customer Support
4 / 5
Value for Money

Pros: Logs are very important source of information. Elastic Search makes it easy by converting them into index form in form of documents. Put,post, get methods are releif for search.

Cons: The process and organisation is complex for begineers to understand. Require other took support to work in full capability.

good to make indexes persistent

Apr 19, 2018
4/5
Overall
4 / 5
Ease of Use
4 / 5
Features & Functionality
4 / 5
Customer Support
4 / 5
Value for Money

Pros: when we hav large amount of logs and we want to make indexes on the, this tool come for rescue. provde feaures to put,post and get to do operations on indexes.

Cons: Hard for begineers to understand and require many other tools like logstash, kibana along with it to make good visualisations of the logs.

good for indexing

Apr 18, 2018
4/5
Overall
4 / 5
Ease of Use
4 / 5
Features & Functionality
4 / 5
Customer Support
4 / 5
Value for Money

Pros: when you have lot of logs and we want them to index and persist the, elastic search comes for rescue. I really loved this tool easyness.

Cons: For begineers this tool is not that easy. Have to learn other tools like logstash and kibana to use this tool to its full potential.

Fast search for your site.

Apr 14, 2018
4/5
Overall
3 / 5
Ease of Use
4 / 5
Features & Functionality
2 / 5
Customer Support
4 / 5
Value for Money

Pros: Extremely fast. You can index tons of data and search below 1s. Weights and information treatments on your search.

Cons: Memory hunger. The process of refining the research is manual and slow. Bad documentation and need more usage examples.

This powerful tool allows you to take data from any source and format to search and analyze.

Mar 22, 2018
3/5
Overall
3 / 5
Ease of Use
3 / 5
Features & Functionality
3 / 5
Value for Money

Pros: It is a super fast and efficient data extraction tool. Recommended for medium-sized projects.

Handles large amounts of data, is scalable.

Cons: Usable from any device, however these must be state-of-the-art and offer great calculation speeds and ram storage.