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About

ClickHouse is a fast open-source OLAP database management system. It is column-oriented and allows to generate analytical reports using SQL queries in real-time. ClickHouse's performance exceeds comparable column-oriented database management systems currently available on the market. It processes hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second. ClickHouse uses all available hardware to its full potential to process each query as fast as possible. Peak processing performance for a single query stands at more than 2 terabytes per second (after decompression, only used columns). In distributed setup reads are automatically balanced among healthy replicas to avoid increasing latency. ClickHouse supports multi-master asynchronous replication and can be deployed across multiple datacenters. All nodes are equal, which allows avoiding having single points of failure.

About

Trino is a query engine that runs at ludicrous speed. Fast-distributed SQL query engine for big data analytics that helps you explore your data universe. Trino is a highly parallel and distributed query engine, that is built from the ground up for efficient, low-latency analytics. The largest organizations in the world use Trino to query exabyte-scale data lakes and massive data warehouses alike. Supports diverse use cases, ad-hoc analytics at interactive speeds, massive multi-hour batch queries, and high-volume apps that perform sub-second queries. Trino is an ANSI SQL-compliant query engine, that works with BI tools such as R, Tableau, Power BI, Superset, and many others. You can natively query data in Hadoop, S3, Cassandra, MySQL, and many others, without the need for complex, slow, and error-prone processes for copying the data. Access data from multiple systems within a single query.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies of all sizes

Audience

Professional users in search of a query engine solution for their data analytics operations

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Open source
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 3.0 / 5
features 4.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Pros & Cons from Real Users

Pros

  • ClickHouse is really really fast. I can say that it is THE fastest I've came across. It has lots of native integration options S3, Kafka, SQLite, PostgreSQL and so on. Its SQL capabilities are top notch. And it is 100% free!

Cons

  • - Updates and deletes are eventual. - Hard to setup a cluster. - Does not have ACID.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

ClickHouse
Founded: 2021
United States
clickhouse.com

Company Information

Trino
trino.io

Alternatives

Alternatives

Denodo

Denodo

Denodo Technologies
Apache DataFusion

Apache DataFusion

Apache Software Foundation
Apache Drill

Apache Drill

The Apache Software Foundation
Apache Pinot

Apache Pinot

Apache Corporation
CelerData Cloud

CelerData Cloud

CelerData

Categories

Categories

Integrations

Amazon Web Services (AWS)
Azure Marketplace
CelerData Cloud
DataHub
DbVisualizer
Embeddable
Google Cloud Platform
GrowthBook
Hue
Kestra
Mitzu
OpenMetadata
SQL
SelectDB
Timbr.ai
WrenAI
Gigasheet
Microsoft Power BI
NeoBase
StackSpend

Integrations

Amazon Web Services (AWS)
Azure Marketplace
CelerData Cloud
DataHub
DbVisualizer
Embeddable
Google Cloud Platform
GrowthBook
Hue
Kestra
Mitzu
OpenMetadata
SQL
SelectDB
Timbr.ai
WrenAI
Gigasheet
Microsoft Power BI
NeoBase
StackSpend
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