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  1. Stackups
  2. Application & Data
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  4. Databases
  5. InterSystems IRIS Data platform vs PostgreSQL

InterSystems IRIS Data platform vs PostgreSQL

OverviewComparisonAlternatives

Overview

PostgreSQL
PostgreSQL
Stacks103.0K
Followers83.9K
Votes3.6K
GitHub Stars19.0K
Forks5.2K
InterSystems IRIS Data platform
InterSystems IRIS Data platform
Stacks11
Followers14
Votes0

InterSystems IRIS Data platform vs PostgreSQL: What are the differences?

In the comparison between InterSystems IRIS Data Platform and PostgreSQL, there are key differences that distinguish the two databases.

1. **Data Model**: InterSystems IRIS Data Platform is a multi-model database that supports object, key-value, document, and relational models, providing flexibility in data storage and retrieval. On the other hand, PostgreSQL primarily follows a relational data model, supporting tables, rows, and columns for data organization.

2. **Scalability and Performance**: InterSystems IRIS Data Platform is designed for high-performance transaction processing and real-time analytics, with built-in sharding capabilities for scalability. Conversely, PostgreSQL offers scalability through features like table partitioning and built-in replication mechanisms.

3. **SQL Support**: While both databases support SQL for querying and data manipulation, InterSystems IRIS Data Platform also provides advanced SQL extensions such as support for nested SQL queries and array subscripts, enhancing query flexibility.

4. **Interoperability**: InterSystems IRIS Data Platform offers seamless integration with various programming languages, frameworks, and third-party tools, facilitating interoperability in diverse application environments. PostgreSQL, on the other hand, provides support for a wide range of programming languages but may require additional drivers for certain integrations.

5. **Data Integrity and Validation**: InterSystems IRIS Data Platform includes built-in data validation and integrity features, such as referential integrity constraints and data transformation rules, ensuring data quality and reliability. PostgreSQL offers similar features but may require additional configurations to enforce data integrity constraints effectively.

6. **Community and Support**: PostgreSQL boasts a large and active open-source community, providing a vast resource of knowledge, plugins, and extensions. In contrast, InterSystems IRIS Data Platform, being a commercial database, offers dedicated technical support and professional services for enterprise customers.

In Summary, InterSystems IRIS Data Platform and PostgreSQL differ in their data models, scalability, SQL support, interoperability, data integrity features, and community support offerings.

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Detailed Comparison

PostgreSQL
PostgreSQL
InterSystems IRIS Data platform
InterSystems IRIS Data platform

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

It provides a set of APIs to operate with transactional persistent data simultaneously: key-value, relational, object, document, multidimensional. Data can be managed by SQL, Java, node.js, .NET, C++, Python, and native server-side ObjectScript language. It includes an Interoperability engine and modules to build AI solutions. It provides features for horizontal scalability (sharding, ECP) and provides High Availability features, Business intelligence, transaction support, and backup.

-
Access Controls/Permissions; Data Dictionary Management; Data Replication; Database Conversion; Multiple Programming Languages Supported; Performance Analysis; Virtualization; Backup and Recovery; Data Migration; Data Storage Management; NOSQL; Relational
Statistics
GitHub Stars
19.0K
GitHub Stars
-
GitHub Forks
5.2K
GitHub Forks
-
Stacks
103.0K
Stacks
11
Followers
83.9K
Followers
14
Votes
3.6K
Votes
0
Pros & Cons
Pros
  • 765
    Relational database
  • 511
    High availability
  • 439
    Enterprise class database
  • 383
    Sql
  • 304
    Sql + nosql
Cons
  • 10
    Table/index bloatings
No community feedback yet
Integrations
No integrations available
Node.js
Node.js
Java
Java
Python
Python
.NET
.NET
C++
C++

What are some alternatives to PostgreSQL, InterSystems IRIS Data platform?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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