Chroma DB vs. ClickHouse

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Chroma DB
Score 0.0 out of 10
N/A
An AI-native open-source embedding database, designed to make it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs. It is free to use under an Apache 2.0 license.N/A
ClickHouse
Score 7.1 out of 10
N/A
ClickHouse is an open-source, column-oriented OLAP database system enabling real-time analytical reports using SQL queries. With linear scalability, it handles trillions of rows and petabytes of data. ClickHouse Cloud offers a scalable serverless solution for real-time analytics.N/A
Pricing
Chroma DBClickHouse
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Chroma DBClickHouse
Free Trial
NoYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional DetailsPay for what is used: It automatically scales up and down compute resources based on the user's workload It scales storage and compute separately It automatically scales unused resources down to zero so that users don’t pay for idle services
More Pricing Information
Community Pulse
Chroma DBClickHouse
Best Alternatives
Chroma DBClickHouse
Small Businesses
SQLite
SQLite
Score 9.6 out of 10
InterSystems IRIS
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Score 7.7 out of 10
Medium-sized Companies
SAP HANA Cloud
SAP HANA Cloud
Score 8.9 out of 10
InterSystems IRIS
InterSystems IRIS
Score 7.7 out of 10
Enterprises
SAP HANA Cloud
SAP HANA Cloud
Score 8.9 out of 10
SAP IQ
SAP IQ
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Chroma DBClickHouse
Likelihood to Recommend
-
(0 ratings)
10.0
(0 ratings)
User Testimonials
Chroma DBClickHouse
Likelihood to Recommend
No answers on this topic
ClickHouse delivers exceptional speed and performance, positioning it as the top choice for managing large-scale analytical workloads. With a bunch of built-in functions, it empowers analysts to extract maximum insights from data effortlessly. If your scenario is to deal with analytical questions, then ClickHouse is for you, but if you are looking into a transactional database, that's not the case; even their table engines are not made for this.
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Pros
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  • Their MergeTree table engine provide impressive performance for data insert in bulk
  • Not only data insert but also the way MergeTree engine uses Primary Keys to sort the data and perform data skipping based on the granules its also their secret for ridiculous fast queries
  • Data compression its also great
  • They provide especial table engines that allow you to read data directly from other sources like S3
  • Since its written with C++ you have very granular data types and especial ones like enum, LowCardinality and etc, they save you a lot of storage since are stored as integer values
  • ClickHouse functions besides the ones that respect ANSI Standards are also awesome and useful
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Cons
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  • Avro data manipulation
  • Kafka consistency
  • DDL operations errors (by replica configuration)
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Alternatives Considered
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ClickHouse was not compared to them as a competitor but as the ideal partner to complete an information analysis system, providing users with the most complete and efficient tools. Therefore, in this case it was considered that it would be the ideal candidate due to its characteristics compared to the other competitors.
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Return on Investment
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  • Queries that used to take more than 2 minutes now take less than 1 second
  • Possibility to analyze use cases in real time (before was impossible)
  • The applications are more complete and the users decisions are better
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