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SAP HANA VS ClickHouse

Compare SAP HANA VS ClickHouse and see what are their differences

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SAP HANA logo SAP HANA

SAP HANA is an in-memory, column-oriented, relational database management system.

ClickHouse logo ClickHouse

ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.
  • SAP HANA Landing page
    Landing page //
    2023-09-17
  • ClickHouse Landing page
    Landing page //
    2019-06-18

SAP HANA videos

+ Add

SAP S/4HANA In 2 Minutes: Why SAP HANA?

More videos:

  • Demo - End-to-End SAP HANA Cloud Platform Demo
  • Review - SAP HANA Academy - XS Advanced: Code Review - myapp1

ClickHouse videos

No ClickHouse videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to SAP HANA and ClickHouse)

SAP HANA

ClickHouse

Databases
46 46%
Databases
54% 54
Relational Databases
51 51%
Relational Databases
49% 49
Tool
100 100%
Tool
0% 0
NoSQL Databases
54 54%
NoSQL Databases
46% 46

User comments

Share your experience with using SAP HANA and ClickHouse. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare SAP HANA and ClickHouse

SAP HANA Reviews

16 Top Big Data Analytics Tools You Should Know About
SAP High-Performance ANalytical Appliance (SAP HANA) is an in-memory database developed by SAP. Its primary function as a database server is to store and retrieve data. It is used to analyze the large datasets on a real-time basis that are present entirely in its memory.
Source: www.analytixlabs.co.in

ClickHouse Reviews

Rockset, ClickHouse, Apache Druid, or Apache Pinot? Which is the best database for customer-facing analytics?
‍ClickHouse is an open-source, column-oriented, distributed, and OLAP database that’s very easy to set up and maintain. “Because it’s columnar, it’s the best architectural approach for aggregations and for ‘sort by’ on more than one column. It also means that group by’s are very fast. It’s distributed, replication is asynchronous, and it’s OLAP—which means it’s meant for...
Source: embeddable.com
ClickHouse vs TimescaleDB
Recently, TimescaleDB published a blog comparing ClickHouse & TimescaleDB using timescale/tsbs, a timeseries benchmarking framework. I have some experience with PostgreSQL and ClickHouse but never got the chance to play with TimescaleDB. Some of the claims about TimescaleDB made in their post are very bold, that made me even more curious. I thought it’d be a great...
Source: pradeepchhetri.xyz
20+ MongoDB Alternatives You Should Know About
ClickHouse may be a great contender for moving analytical workloads from MongoDB. Much faster, and with JSON support and Nested Data Structures, it can be great choice for storing and analyzing document data.
Source: www.percona.com

Social recommendations and mentions

Based on our record, ClickHouse seems to be more popular. It has been mentiond 43 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

SAP HANA mentions (0)

We have not tracked any mentions of SAP HANA yet. Tracking of SAP HANA recommendations started around Mar 2021.

ClickHouse mentions (43)

  • The 2024 Web Hosting Report
    For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 2 months ago
  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Online analytical processing (OLAP) databases like Apache Druid, Apache Pinot, and ClickHouse shine in addressing user-initiated analytical queries. You might write a query to analyze historical data to find the most-clicked products over the past month efficiently using OLAP databases. When contrasting with streaming databases, they may not be optimized for incremental computation, leading to challenges in... - Source: dev.to / 2 months ago
  • Real-Time Data Enrichment and Analytics With RisingWave and ClickHouse
    To achieve seamless real-time data ingestion, transformation, and analytics, a powerful combination to explore is RisingWave and ClickHouse. RisingWave is a PostgreSQL-compatible database specifically designed for stream processing. It excels at ingesting real-time data streams, performing diverse transformations, and enabling instant querying of results. ClickHouse® is a high-performance, column-oriented SQL... - Source: dev.to / 4 months ago
  • Ask HN: Is there a Hacker News takeout to export my comments / upvotes, etc.?
    You can export the whole dataset as described here: https://github.com/ClickHouse/ClickHouse/issues/29693 
        curl https://clickhouse.com/ | sh.
    - Source: Hacker News / 5 months ago
  • Best alternative
    Nowadays I am looking at the clickhouse and how it might help me maybe you can check it out: https://clickhouse.com/. Source: 5 months ago
View more

What are some alternatives?

When comparing SAP HANA and ClickHouse, you can also consider the following products

MySQL - The world's most popular open source database

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

Apache Doris - Apache Doris is an open-source real-time data warehouse for big data analytics.

Oracle DBaaS - See how Oracle Database 12c enables businesses to plug into the cloud and power the real-time enterprise.

VeloDB - Modern Real-Time Data Warehouse

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