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  5. Elasticsearch vs Vault

Elasticsearch vs Vault

OverviewDecisionsComparisonAlternatives

Overview

Elasticsearch
Elasticsearch
Stacks35.5K
Followers27.1K
Votes1.6K
Vault
Vault
Stacks816
Followers802
Votes71
GitHub Stars33.4K
Forks4.5K

Elasticsearch vs Vault: What are the differences?

# Key Differences between Elasticsearch and Vault

Elasticsearch is a search engine that is used for full-text search while Vault is a tool for managing secrets and protecting sensitive data. One significant difference between the two is that Elasticsearch is primarily used for searching and analyzing data, making it a fundamental tool for indexing and querying large volumes of data. On the other hand, Vault focuses on secure storage and handling of sensitive information, providing features such as encryption, access control, and dynamic secrets management.

1. **Data Management**:
   Elasticsearch is designed for indexing and querying data, enabling users to search through vast amounts of information efficiently. In contrast, Vault focuses on securely storing and managing sensitive data, offering encryption capabilities and access control mechanisms to protect valuable information.

2. **Use Case**:
   The primary use case for Elasticsearch is as a search engine for analyzing and retrieving data, making it suitable for applications that require powerful search capabilities. On the other hand, Vault is commonly used for storing and managing secrets, such as passwords, API keys, and certificates, in a secure and centralized manner.

3. **Deployment**:
   Elasticsearch is typically deployed as a distributed system to handle large-scale data processing and search operations, making it suitable for big data applications. In comparison, Vault can be deployed as a standalone service or integrated with other tools to provide secure storage and access control for sensitive information.

4. **Security Features**:
   Vault offers advanced security features such as encryption at rest and in transit, audit logging, and automated key rotation to ensure the protection of sensitive data. While Elasticsearch provides basic security features, it may require additional configurations or plugins to enhance data security.

5. **Scalability**:
   Elasticsearch is known for its scalability and performance in handling large volumes of data, making it ideal for applications that require real-time search capabilities. On the other hand, Vault's scalability is focused on secure storage and access control, ensuring that sensitive information remains protected and accessible as needed.

6. **Community Support**:
   Elasticsearch has a robust community of users and developers who contribute to the ongoing development and improvement of the platform, providing a wealth of resources and support for users. In comparison, Vault also has an active community but may have fewer resources available due to its focus on secure data management.

In Summary, Elasticsearch and Vault have key differences in data management, use cases, deployment, security features, scalability, and community support.

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Advice on Elasticsearch, Vault

Rana Usman
Rana Usman

Chief Technology Officer at TechAvanza

Jun 4, 2020

Needs adviceonFirebaseFirebaseElasticsearchElasticsearchAlgoliaAlgolia

Hey everybody! (1) I am developing an android application. I have data of around 3 million record (less than a TB). I want to save that data in the cloud. Which company provides the best cloud database services that would suit my scenario? It should be secured, long term useable, and provide better services. I decided to use Firebase Realtime database. Should I stick with Firebase or are there any other companies that provide a better service?

(2) I have the functionality of searching data in my app. Same data (less than a TB). Which search solution should I use in this case? I found Elasticsearch and Algolia search. It should be secure and fast. If any other company provides better services than these, please feel free to suggest them.

Thank you!

408k views408k
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Detailed Comparison

Elasticsearch
Elasticsearch
Vault
Vault

Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).

Vault is a tool for securely accessing secrets. A secret is anything that you want to tightly control access to, such as API keys, passwords, certificates, and more. Vault provides a unified interface to any secret, while providing tight access control and recording a detailed audit log.

Distributed and Highly Available Search Engine;Multi Tenant with Multi Types;Various set of APIs including RESTful;Clients available in many languages including Java, Python, .NET, C#, Groovy, and more;Document oriented;Reliable, Asynchronous Write Behind for long term persistency;(Near) Real Time Search;Built on top of Apache Lucene;Per operation consistency;Inverted indices with finite state transducers for full-text querying;BKD trees for storing numeric and geo data;Column store for analytics;Compatible with Hadoop using the ES-Hadoop connector;Open Source under Apache 2 and Elastic License
Secure Secret Storage: Arbitrary key/value secrets can be stored in Vault. Vault encrypts these secrets prior to writing them to persistent storage, so gaining access to the raw storage isn't enough to access your secrets. Vault can write to disk, Consul, and more.;Dynamic Secrets: Vault can generate secrets on-demand for some systems, such as AWS or SQL databases. For example, when an application needs to access an S3 bucket, it asks Vault for credentials, and Vault will generate an AWS keypair with valid permissions on demand. After creating these dynamic secrets, Vault will also automatically revoke them after the lease is up.;Data Encryption: Vault can encrypt and decrypt data without storing it. This allows security teams to define encryption parameters and developers to store encrypted data in a location such as SQL without having to design their own encryption methods.;Leasing and Renewal: All secrets in Vault have a lease associated with it. At the end of the lease, Vault will automatically revoke that secret. Clients are able to renew leases via built-in renew APIs.;Revocation: Vault has built-in support for secret revocation. Vault can revoke not only single secrets, but a tree of secrets, for example all secrets read by a specific user, or all secrets of a particular type. Revocation assists in key rolling as well as locking down systems in the case of an intrusion.
Statistics
GitHub Stars
-
GitHub Stars
33.4K
GitHub Forks
-
GitHub Forks
4.5K
Stacks
35.5K
Stacks
816
Followers
27.1K
Followers
802
Votes
1.6K
Votes
71
Pros & Cons
Pros
  • 329
    Powerful api
  • 315
    Great search engine
  • 231
    Open source
  • 214
    Restful
  • 200
    Near real-time search
Cons
  • 7
    Resource hungry
  • 6
    Diffecult to get started
  • 5
    Expensive
  • 4
    Hard to keep stable at large scale
Pros
  • 17
    Secure
  • 13
    Variety of Secret Backends
  • 11
    Very easy to set up and use
  • 8
    Dynamic secret generation
  • 5
    AuditLog
Integrations
Kibana
Kibana
Beats
Beats
Logstash
Logstash
No integrations available

What are some alternatives to Elasticsearch, Vault?

Algolia

Algolia

Our mission is to make you a search expert. Push data to our API to make it searchable in real time. Build your dream front end with one of our web or mobile UI libraries. Tune relevance and get analytics right from your dashboard.

Typesense

Typesense

It is an open source, typo tolerant search engine that delivers fast and relevant results out-of-the-box. has been built from scratch to offer a delightful, out-of-the-box search experience. From instant search to autosuggest, to faceted search, it has got you covered.

Amazon CloudSearch

Amazon CloudSearch

Amazon CloudSearch enables you to search large collections of data such as web pages, document files, forum posts, or product information. With a few clicks in the AWS Management Console, you can create a search domain, upload the data you want to make searchable to Amazon CloudSearch, and the search service automatically provisions the required technology resources and deploys a highly tuned search index.

Amazon Elasticsearch Service

Amazon Elasticsearch Service

Amazon Elasticsearch Service is a fully managed service that makes it easy for you to deploy, secure, and operate Elasticsearch at scale with zero down time.

Manticore Search

Manticore Search

It is a full-text search engine written in C++ and a fork of Sphinx Search. It's designed to be simple to use, light and fast, while allowing advanced full-text searching. Connectivity is provided via a MySQL compatible protocol or HTTP, making it easy to integrate.

Azure Search

Azure Search

Azure Search makes it easy to add powerful and sophisticated search capabilities to your website or application. Quickly and easily tune search results and construct rich, fine-tuned ranking models to tie search results to business goals. Reliable throughput and storage provide fast search indexing and querying to support time-sensitive search scenarios.

Doppler

Doppler

Doppler’s developer-first security platform empowers teams to seamlessly manage, orchestrate, and govern secrets at scale.

Swiftype

Swiftype

Swiftype is the easiest way to add great search to your website or mobile application.

MeiliSearch

MeiliSearch

It is a powerful, fast, open-source, easy to use, and deploy search engine. The search and indexation are fully customizable and handles features like typo-tolerance, filters, and synonyms.

Quickwit

Quickwit

It is the next-gen search & analytics engine built for logs. It is designed from the ground up to offer cost-efficiency and high reliability on large data sets. Its benefits are most apparent in multi-tenancy or multi-index settings.

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