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Tools/Elasticsearch vs Apache Solr
Elasticsearch

Elasticsearch

vector-db
vs
Apache Solr

Apache Solr

vector-db

Elasticsearch vs Apache Solr — Comparison

Overview
What each tool does and who it's for

Elasticsearch

Power insights and outcomes with The Elasticsearch Platform. See into your data and find answers that matter with enterprise solutions designed to hel

We help you turn endless data possibilities into real results with the power of Search AI. Take advantage of all your data. Secure your private information. Optimize your infrastructure. Build smarter apps. Discover a world of AI possibilities — built with the power of search. Unify app and infrastructure visibility to proactively resolve issues. Protect, investigate, and respond to cyber threats with AI-driven security analytics. Prototype and integrate with LLMs faster using Search AI. Like our products, we find strength in distribution. It's the foundation of our outstanding company culture — and the solutions our customers love. By embracing open source, we align with ethical considerations and community values, fostering an environment of openness, sharing, and technical excellence. Working across several locations, we live by a set of ideas — rather than a statement of corporate values — to keep us honest as we go about our business. We maintain an unwavering commitment to protecting your valuable data through a robust information security program, ensuring the security and reliability trusted by thousands of customers. Our approach to AI starts with customer zero. Hear from our executive team on how we use our own technology to accelerate innovation and boost efficiency. Our GenAI employee assistant enhances efficiency across our 3,000+ workforce, resulting in an annual savings of 63 hours per Elastician. Our award-winning GenAI Support Assistant delivers self-service access to answers, resulting in a 23% improvement in mean time to first response (MTFR) to our customers. Every Elastician, starting with our board and leadership members, is committed to making secure products backed by sustainable practices. See how. We hire the best humans our planet has to offer. Join us to launch a new career or grow an existing one. Either way, adventure awaits. With people all over the globe, we care more about what you can do than where you rest your head.

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
—
GitHub Stars
1,596
—
GitHub Forks
818
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

Elasticsearch

0% positive100% neutral0% negative

Apache Solr

0% positive100% neutral0% negative
Pricing

Elasticsearch

usage-based + subscription + tiered

Apache Solr

tiered
Features

Only in Elasticsearch (9)

SearchSecurityObservabilityLaunch and scale faster with ElasticTry locallyFree cloud trialTalk to an expertDiscover everything you can do with ElasticReady to put your data to work?

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
40
HuggingFace Models
40
—
SO Reputation
—
Product Screenshots

Elasticsearch

Elasticsearch screenshot 1Elasticsearch screenshot 2

Apache Solr

Apache Solr screenshot 1
Company Intel
information technology & services
Industry
information technology & services
3,500
Employees
2,500
—
Funding
$35.0M
—
Stage
Angel
Supported Languages & Categories

Elasticsearch

AI/MLFinTechDevOpsSecurityAnalytics

Apache Solr

apacheapache luceneapache solrsolrlucene
View Elasticsearch Profile View Apache Solr Profile