Difference Between PostgreSQL vs Elasticsearch
The PostgreSQL vs Elasticsearch is defined as, the PostgreSQL is a powerful, open-source, object-relational database management system which is available free, it is an advanced version of SQL which supports various user-defined data types and the functions which also support different functions such as foreign keys, subqueries, and triggers, whereas, the elasticsearch is the highly scalable, free and open-source document-oriented search engine with HTTP web interface, in which it has a complex search feature so that all types of data can be searched including text, numeric and it allows to store and managed big volume of data quickly in real-time.
Head to Head Comparison Between PostgreSQL vs Elasticsearch (Infographics)
Below are the top 10 differences between PostgreSQL vs Elasticsearch:
Key Difference Between PostgreSQL vs Elasticsearch
Let us discuss some of the major key differences between PostgreSQL vs Elasticsearch:
- Database Model: PostgreSQL is a type of SQL database also we can say that it is a relational database management system in which data can be store in the rows and columns forms across the various tables, it allows users to create a relationship between tables, it uses SQL for querying data, whereas, elasticsearch does not use SQL for querying purpose, and also it does not store data in tables, instead of tables it stores complex data structure in record or document form, so in a cluster, documents are distributed across different nodes, and if any node is required that can be accessed immediately, in this way they differ in database modelling.
- Flexibility: The flexibility between PostgreSQL and Elasticsearch depends on the specification of the schema so, in elasticsearch, it can automatically gather and analyzed data that the user trying to store; we do not have to specify an index for it; it identifies the numeric, boolean, and timestamps also force to identify the string, on the other hand, elasticsearch can execute fixed schema for it, it means that predefined tables with typed columns must be included in schemas and that fixed schema allows to it to offer a rich set of functionalities.
- Security: PostgreSQL has in-built secure authentication that can give control access of the user, its controls at light-weight directory access protocol, and SCRAM-SHA-256, etc. to make RDBMS one of the most secure, whereas elasticsearch does not have in-built secure authentication so it means any user which wishes to connect with it will have admin rights when a user has application then every user need to authorize the authentication, every user is a superuser for it, they have provided this way security.
- Transaction Support: The strong transaction mechanism has been supported by the PostgreSQL; transactions in it are in multiple steps, it may perform all steps or none, user can influence BEGIN and COMMIT command on huge operations together, and it rollback by using ROLLBACK and SAVEPOINT command at its given point, whereas, elasticsearch is specially designed to give high-speed to the user for database operations, as it supports transaction then it requires complex operations due to that the process may slow down, it does not have transaction in-built hence it cannot allow to rollback a document which the user has submitted instead of it has the write-ahead-log feature to which ensure the durability of all the database operations hence there is no need to perform commit, while index operation in elasticsearch many replicas must acknowledge the database operations before returning.
- Cloud-Based Offering: This is another key difference between PostgreSQL and Elasticsearch in which PostgreSQL does not support the cloud-based offering, so users have to depends on the third party which was recommended by the developer and third-party vendors including, aiven, amazon web services, etc., whereas, elasticsearch has supported the cloud-based offering, the users of it are across the various tiers.
PostgreSQL vs Elasticsearch Comparison Table
Let’s discuss the top comparison between PostgreSQL vs Elasticsearch:
|1.||PostgreSQL is the relational database management system (RDBMS) which is an advanced version of SQL.||Whereas it stores complex data as it is not a SQL-based system.|
|2.||In PostgreSQL, the data can be store across many tables in the form of rows and columns.||Whereas there are lots of ways to store data into elasticsearch, it does not store data in tables instead, it stores complex data structures, serialized as JSON document.|
|3.||It can handle large volumes of data, it is very efficient, and it has good management of data so that the demand for it is high.||Whereas it uses natural language and it is mainly used for searching text, and it works well in searching.|
|4.||PostgreSQL is flexible in terms of data because it supports a wide range of data types.||Whereas it is flexible is about its data model because we can nest fields as deep as we want and as long as it can stay at the same data type.|
|5.||It uses SQL for querying and is the best tool for relational data; when it comes to data building in new tables, the loading of data is consistent.||Where, in elasticsearch, we do not have to learn any query language to add data or to perform some operations in elasticsearch.|
|6.||It does not have a free trial; it is paid.||Whereas it has a free trial.|
|7.||The performance of it is less than the elasticsearch.||On the other hand, we can search more sizes of data, so it gives better performance.|
|8.||As it is a traditional RDBMS, it does on its full-text searches.||Where it is specially designed to search enormous text and records.|
|9.||If we want full-text, then PostgreSQL will do the best featuring.||Whereas, if we want to pre-process the posts into some fields and indexes, then it is good to store first in elasticsearch.|
|10.||If we have a small size of data to search, then we can choose PostgreSQL.||On the other hand, when we want the large transaction and data repository in the future, then this is beneficial.|
In this article, we have concluded some differences between PostgreSQL and Elasticsearch in detail; we can say that integrating data from all databases and storing it in a centralized location is most important, and also the database is better than other unless the choice between them depends on our business data requirement.
This is a guide to PostgreSQL vs Elasticsearch. Here we discuss key differences with infographics and comparison table respectively. You may also have a look at the following articles to learn more –