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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Cassandra vs Informatica

Cassandra vs Informatica

OverviewDecisionsComparisonAlternatives

Overview

Cassandra
Cassandra
Stacks3.6K
Followers3.5K
Votes507
GitHub Stars9.5K
Forks3.8K
Informatica
Informatica
Stacks14
Followers2
Votes0

Cassandra vs Informatica: What are the differences?

## Introduction
In the field of database management, Cassandra and Informatica are two widely used technologies. Both have their own specific features and functionalities that cater to different needs of organizations.

## 1. Scalability:
Cassandra is a highly scalable NoSQL database that can easily handle large amounts of data with linear scalability, making it a popular choice for Big Data applications. On the other hand, Informatica is not a database but rather an ETL (Extract, Transform, Load) tool used for data integration, which may not have the same level of scalability as Cassandra when it comes to handling massive amounts of data.

## 2. Data Transformation:
Informatica specializes in data transformation and manipulation, providing powerful features to clean, transform, and enrich data before loading it into target systems. In contrast, while Cassandra can store and retrieve data efficiently, it does not offer the advanced data transformation capabilities that Informatica does, making it more suitable for raw data storage rather than complex data processing.

## 3. Consistency vs Flexibility:
Cassandra is known for its eventual consistency model, where updates to data may not be immediately reflected across all nodes in the cluster. This provides high availability and partition tolerance but sacrifices strong consistency. Informatica, on the other hand, ensures data consistency by enforcing strict rules and data quality checks during the ETL process, making it more suitable for applications that require strict data governance and accuracy.

## 4. Use Cases:
Cassandra is commonly used for real-time data analytics, IoT applications, and other use cases that demand high availability and fault tolerance. Informatica, on the other hand, is utilized for data warehousing, business intelligence, and data integration tasks where data quality and structured transformations are critical.

## 5. Deployment Complexity:
Deploying and managing a Cassandra cluster requires expertise in distributed systems and database administration due to its decentralized architecture. Informatica, on the other hand, relies on traditional data integration patterns and can be easier to deploy for organizations familiar with ETL processes, making it more accessible to a wider range of users.

## 6. Cost Factor:
In terms of cost, Cassandra is an open-source solution, offering a cost-effective option for organizations looking to implement a scalable and distributed database system without licensing fees. Informatica, being a commercial ETL tool, involves licensing costs, which may be a factor for organizations with budget constraints.

In Summary, Cassandra's scalability, eventual consistency, and suitability for real-time applications make it ideal for Big Data scenarios, while Informatica's data transformation capabilities, data consistency, and ease of deployment cater to data warehousing and structured data integration needs in organizations.

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Advice on Cassandra, Informatica

Vinay
Vinay

Head of Engineering

Sep 19, 2019

Needs advice

The problem I have is - we need to process & change(update/insert) 55M Data every 2 min and this updated data to be available for Rest API for Filtering / Selection. Response time for Rest API should be less than 1 sec.

The most important factors for me are processing and storing time of 2 min. There need to be 2 views of Data One is for Selection & 2. Changed data.

174k views174k
Comments

Detailed Comparison

Cassandra
Cassandra
Informatica
Informatica

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.

It delivers enterprise data integration and management software powering analytics for big data and cloud. Unlock data's potential.

-
Business Users on Data Analyst and Metadata management; Improved Administrator experience; Build in Intelligence to improve performance.
Statistics
GitHub Stars
9.5K
GitHub Stars
-
GitHub Forks
3.8K
GitHub Forks
-
Stacks
3.6K
Stacks
14
Followers
3.5K
Followers
2
Votes
507
Votes
0
Pros & Cons
Pros
  • 119
    Distributed
  • 98
    High performance
  • 81
    High availability
  • 74
    Easy scalability
  • 53
    Replication
Cons
  • 3
    Reliability of replication
  • 1
    Size
  • 1
    Updates
No community feedback yet
Integrations
No integrations available
Amazon CloudFront
Amazon CloudFront
Amazon Redshift
Amazon Redshift
Amazon RDS
Amazon RDS
AWS CloudTrail
AWS CloudTrail

What are some alternatives to Cassandra, Informatica?

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.

PostgreSQL

PostgreSQL

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.

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.

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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