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Tools/ClickHouse vs Apache Solr
ClickHouse

ClickHouse

vector-db
vs
Apache Solr

Apache Solr

vector-db

ClickHouse vs Apache Solr — Comparison

Overview
What each tool does and who it's for

ClickHouse

Powering agentic systems with millisecond queries at petabyte scale.

Powering agentic systems with millisecond queries at petabyte scale. Langfuse is now part of ClickHouse. Discover the leading open-source platform for LLM observability, evaluations, and prompt management. Ideal for building, monitoring, and optimizing AI applications at scale. Deliver instant insights and dashboards at scale. Analyze billions of rows in real time with millisecond results. Store and query logs, metrics and traces at scale using ClickStack, the open source observability stack powered by ClickHouse. Analyze and explore data instantly for insights and apps. Scale faster by offloading heavy workloads. Power machine learning and GenAI with blazing-fast vector search, instant aggregations, and scalable training. “ClickHouse played an instrumental role in helping us develop and ship Claude 4.” “ClickHouse checked every box. We have availability, we have speed, we have durability. We have everything we could want.” “We needed something to slice and dice real-time data, like rides and driver hours across cities and regions where Lyft runs. Using ClickHouse resulted into a lot of performance benefits for us with huge cost savings for the org.” ClickHouse is faster than most traditional data warehouses and databases and is most often used when real-time queries on large datasets are necessary at an affordable cost. However, developers also often use ClickHouse on top of their CDWH or OLTP databases to act as a “speed layer” within their existing infrastructure. OLAP stands for “online analytical processing” which contrasts from OLTP, or “online transaction processing.” As the name suggests, OLAP databases perform significantly better compared to OLTP databases for analytical workloads common with large datasets. In order to easily process large amounts of data, ClickHouse uses highly optimized compression techniques and vectorized query execution to maximize CPU efficiency.

Apache Solr

Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites. Hundreds of features make Solr incredibly versatile. From tutorials to in-depth documentation, you'll find it here. Scale with confidence in data integrity and performance. Get support and give back. Contribute to the Solr project. Containerize your Solr deployments with Docker. Automate the deployment of Solr with Kubernetes. Solr powers some of the most heavily-trafficked websites and applications in the world. See the Powered By section for some examples. Power your global enterprise or your weekend project. Click here to download the Solr binary from the available mirrors. The Solr Quick Start tutorial will help you start working with Solr. Once you've completed the tutorial, continue to learn with the Solr resource library. The Solr PMC is pleased to announce the release of Apache Solr 10.0.0. Download here. The Apache Software Foundation provides support for the Apache community of open-source software projects. The Apache projects are defined by collaborative consensus based processes, an open, pragmatic software license and a desire to create high quality software that leads the way in its field. Apache Lucene, Apache Solr, Apache PyLucene, Apache Open Relevance Project and their respective logos are trademarks of The Apache Software Foundation. All other marks mentioned may be trademarks or registered trademarks of their respective owners. Solr is a standalone enterprise search server with a REST-like API. You put documents in it (called "indexing") via JSON, XML, CSV or binary over HTTP. You query it via HTTP GET and receive JSON, XML, CSV or binary results. Powered by Lucene , Solr enables powerful matching capabilities including phrases, wildcards, joins, grouping and much more across any data type Solr is proven at extremely large scales the world over Solr uses the tools you use to make application building a snap Solr ships with a built-in, responsive administrative user interface to make it easy to control your Solr instances Need more insight into your instances? Solr publishes loads of metric data via JMX Built on the battle-tested Apache Zookeeper, Solr makes it easy to scale up and down. Solr bakes in replication, distribution, rebalancing and fault tolerance out of the box. Solr's is designed to adapt to your needs all while simplifying configuration Want to see your updates now? Solr takes advantage of Lucene's Near Real-Time Indexing capabilities to make sure you see your content when you want to see it Solr publishes many well-defined extension points that make it easy to plugin both index and query time plugins. Of course, since it is Apache-licensed open source, you can change any code you want! Solr uses t

Key Metrics
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Avg Rating
—
0
Mentions (30d)
0
46,679
GitHub Stars
1,596
8,264
GitHub Forks
818
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npm Downloads/wk
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PyPI Downloads/mo
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Community Sentiment
How developers feel about each tool based on mentions and reviews

ClickHouse

0% positive100% neutral0% negative

Apache Solr

0% positive100% neutral0% negative
Pricing

ClickHouse

usage-based + tiered

Apache Solr

tiered
Use Cases
When to use each tool

ClickHouse (1)

Built for every modern data challenge
Features

Only in ClickHouse (10)

Join our communityComparisonsReal-time analyticsObservabilityData warehousingML GenAIBlazing fastDeveloper friendlyCost effectiveClickHouse Cloud

Only in Apache Solr (10)

char filters edit the text prior to tokenizationtokenizers break the text up into termstoken filters transform the termsDynamic Fields enable on-the-fly addition of new fields that auto-map to field types based on the field nameEasily analyze the same content in different ways using Solr's copy field capabilitiesExplicit types eliminate the need for guessing types of fields and introducing noiseExternal file-based configuration of stopword lists, synonym lists, and protected word listsMany additional text analysis components including word splitting, regex, stemming and moreExtensible to allow for applications to easily handle proprietary formats and unsupported data typesFunction queries provide powerful relevance tuning capabilities based off of your data
Developer Ecosystem
—
GitHub Repos
3,097
—
GitHub Followers
22,228
20
npm Packages
20
8
HuggingFace Models
40
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SO Reputation
—
Product Screenshots

ClickHouse

ClickHouse screenshot 1

Apache Solr

Apache Solr screenshot 1
Company Intel
information technology & services
Industry
information technology & services
300
Employees
2,500
$1.1B
Funding
$35.0M
Series C
Stage
Angel
Supported Languages & Categories

ClickHouse

AI/MLFinTechDevOpsSecurityAnalytics

Apache Solr

apacheapache luceneapache solrsolrlucene
View ClickHouse Profile View Apache Solr Profile