Software Alternatives & Reviews

ClickHouse VS VeloDB

Compare ClickHouse VS VeloDB and see what are their differences

ClickHouse logo ClickHouse

ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.

VeloDB logo VeloDB

Modern Real-Time Data Warehouse
  • ClickHouse Landing page
    Landing page //
    2019-06-18
  • VeloDB VeloDB
    VeloDB //
    2024-01-10

VeloDB is a modern real-time data warehouse powered by open source Apache Doris for lightning-fast data analytics at scale. It ensures big data ingestion within seconds and outstanding performance in both real-time serving and interactive ad-hoc queries. It is one platform for various analytics workloads, including structured and semi-structured data processing, real-time analytics and batch processing, internal data query and federated queries of external data. It allows elastic scaling for efficient resource management. It can dynamically adjust the computing resources allocated to the workload based on the changing requirements. It supports MySQL protocol and standard SQL for easy integration with other data tools. It also provides open data API to be accessible for various external query engines.

Category Popularity

0-100% (relative to ClickHouse and VeloDB)
Databases
87 87%
13% 13
Data Warehousing
61 61%
39% 39
Relational Databases
82 82%
18% 18
NoSQL Databases
100 100%
0% 0

User comments

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Reviews

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

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...
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

VeloDB Reviews

We have no reviews of VeloDB yet.
Be the first one to post

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.

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 / 3 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

VeloDB mentions (0)

We have not tracked any mentions of VeloDB yet. Tracking of VeloDB recommendations started around Jan 2024.

What are some alternatives?

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

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

Snowflakepowe.red - Snowflake Computing is delivering a data warehouse for the cloud.

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

Presto - Next generation front-of-house technology

MySQL - The world's most popular open source database

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.