Software Alternatives & Reviews

BangDB VS ClickHouse

Compare BangDB VS ClickHouse and see what are their differences

BangDB logo BangDB

BangDB is Real-time Data Platform for Building Modern Apps

ClickHouse logo ClickHouse

ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.
  • BangDB Landing page
    Landing page //
    2023-03-17

BangDB is a converged high performance NoSQL Database which natively integrates AI, Streaming, Graph, analytics within the DB itself to enable users to deal with complex data.

  • ClickHouse Landing page
    Landing page //
    2019-06-18

BangDB

Website
bangdb.com
$ Details
freemium $2499.0 / Annually (per instance (server))
Platforms
Web Cloud Windows Android Safari Google Chrome iOS
Release Date
2012 November

ClickHouse

Pricing URL
-
$ Details
Platforms
-
Release Date
-

BangDB features and specs

  • Streaming: Yes
  • Integrated ML: Yes
  • Graph DB: Yes
  • Cypher: Yes
  • Dashboards: Yes
  • Support: Yes
  • Pre-built Apps: Yes
  • ACID transactions: Yes
  • Command Line Interface: Yes

ClickHouse features and specs

No features have been listed yet.

BangDB videos

BangDB - Intro @NetAPP

More videos:

  • Review - Customer message/sentiment analysis in streaming and predictive manner on BangDB 2.0

ClickHouse videos

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

+ Add video

Category Popularity

0-100% (relative to BangDB and ClickHouse)
Databases
6 6%
94% 94
Relational Databases
7 7%
93% 93
NoSQL Databases
9 9%
91% 91
Machine Data Analytics
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 BangDB and ClickHouse

BangDB Reviews

We have no reviews of BangDB yet.
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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

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.

BangDB mentions (0)

We have not tracked any mentions of BangDB yet. Tracking of BangDB recommendations started around Sep 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 / 3 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

What are some alternatives?

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

Cassandra.Global - The Alternative Expert Network helping you gain trusted insights, connect to experts and discover opportunity in trending markets.

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

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

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

DeepBench - Helps businesses make better informed decisions through critical insights from expert advisors.

MySQL - The world's most popular open source database