Need advice about which tool to choose?Ask the StackShare community!
Add tool
Clickhouse vs Informatica: What are the differences?
What is Clickhouse? A column-oriented database management system. It allows analysis of data that is updated in real time. It offers instant results in most cases: the data is processed faster than it takes to create a query.
What is Informatica? Enterprise Cloud Data Management and Data Integration. Informatica delivers enterprise data integration and management software powering analytics for big data and cloud. Unlock data's potential.
Clickhouse belongs to "Databases" category of the tech stack, while Informatica can be primarily classified under "Cloud Management".
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn MorePros of Clickhouse
Pros of Informatica
Pros of Clickhouse
- Fast, very very fast19
- Good compression ratio11
- Horizontally scalable6
- Great CLI5
- Utilizes all CPU resources5
- RESTful5
- Buggy4
- Open-source4
- Great number of SQL functions4
- Server crashes its normal :(3
- Has no transactions3
- Flexible connection options2
- Highly available2
- ODBC2
- Flexible compression options2
- In IDEA data import via HTTP interface not working1
Pros of Informatica
Be the first to leave a pro
Sign up to add or upvote prosMake informed product decisions
Cons of Clickhouse
Cons of Informatica
Cons of Clickhouse
- Slow insert operations5
Cons of Informatica
Be the first to leave a con
Sign up to add or upvote consMake informed product decisions
What is Clickhouse?
It allows analysis of data that is updated in real time. It offers instant results in most cases: the data is processed faster than it takes to create a query.
What is Informatica?
It delivers enterprise data integration and management software powering analytics for big data and cloud. Unlock data's potential.
Need advice about which tool to choose?Ask the StackShare community!
Jobs that mention Clickhouse and Informatica as a desired skillset
What companies use Clickhouse?
What companies use Informatica?
What companies use Clickhouse?
What companies use Informatica?
See which teams inside your own company are using Clickhouse or Informatica.
Sign up for StackShare EnterpriseLearn MoreSign up to get full access to all the companiesMake informed product decisions
What tools integrate with Clickhouse?
What tools integrate with Informatica?
What tools integrate with Clickhouse?
What tools integrate with Informatica?
Sign up to get full access to all the tool integrationsMake informed product decisions
What are some alternatives to Clickhouse and Informatica?
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.
Elasticsearch
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).
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.
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.
Druid
Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.