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Apache Solr VS TmpState.dev

Compare Apache Solr VS TmpState.dev and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Apache Solr logo Apache Solr

Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...

TmpState.dev logo TmpState.dev

TmpState (temp state) - a tokenless temporary JSON database. One curl creates a database; the URL is the only credential. No signup, no API keys, 24h free, $1 to keep for a week. Also a zero-key MCP server: https://tmpstate.dev/mcp
  • Apache Solr Landing page
    Landing page //
    2023-04-28
  • TmpState.dev Database Demo
    Database Demo //
    2026-07-05

Apache Solr features and specs

  • Scalability
    Apache Solr is highly scalable, capable of handling large amounts of data and numerous queries per second. It supports distributed search and indexing, which allows for horizontal scaling by adding more nodes.
  • Flexibility
    Solr provides flexible schema management, allowing for dynamic field definitions and easy handling of various data types. It supports a variety of search query types and can be customized to meet specific search requirements.
  • Rich Feature Set
    Solr comes with a wealth of features out-of-the-box, including faceted search, result highlighting, multi-index search, and advanced filtering capabilities. It also offers robust analytics and joins support.
  • Community and Documentation
    Being an open-source project, Apache Solr has a strong community and comprehensive documentation, which ensures continuous improvements, updates, and extensive support resources for developers.
  • Integrations
    Solr integrates well with a variety of databases and data sources, and it provides REST-like APIs for ease of integration with other applications. It also has strong support for popular programming languages like Java, Python, and Ruby.
  • Performance
    Solr is built on top of Apache Lucene, which provides high performance for searching and indexing. It is optimized for speed and can handle rapid data ingestion and real-time indexing.

Possible disadvantages of Apache Solr

  • Complexity
    The initial setup and configuration of Apache Solr can be complex, particularly for those not already familiar with search engines and indexing concepts. Managing a distributed Solr installation also requires considerable expertise.
  • Resource Intensive
    Running Solr, especially for large datasets, can be resource-intensive in terms of both memory and CPU. It requires careful tuning and adequate hardware to maintain performance.
  • Learning Curve
    The learning curve for Apache Solr can be steep due to its extensive feature set and the complexity of its configuration options. New users may find it challenging to get up to speed quickly.
  • Consistency Issues
    In distributed setups, ensuring data consistency can be challenging, particularly for users unfamiliar with managing clustered environments. There may be delays or issues with synchronizing indexes across multiple nodes.
  • Maintenance
    Ongoing maintenance of a Solr instance, including monitoring, tuning, and scaling, can be labor-intensive. This requires dedicated effort to keep the system running efficiently over time.
  • Limited Real-time Capabilities
    Although Solr provides near real-time indexing, it may not be as effective as some specialized real-time search engines. For applications requiring truly real-time capabilities, additional solutions might be necessary.

TmpState.dev features and specs

No features have been listed yet.

Analysis of Apache Solr

Overall verdict

  • Yes, Apache Solr is generally considered a good option for organizations seeking a reliable, scalable, and flexible search platform. It offers extensive features and is supported by a strong community, making it a solid choice for many use cases.

Why this product is good

  • Apache Solr is highly regarded for its robust full-text search capabilities, scalability, and ease of integration. As an open-source search platform, it is built on Apache Lucene and provides powerful distributed search and indexing, replication, load-balanced querying, and automated failover and recovery. Solr is designed to handle large volumes of data efficiently and supports various data formats with powerful data management features.

Recommended for

    Apache Solr is recommended for organizations that need to implement powerful search capabilities, especially those managing large, complex datasets. It is ideal for businesses that require full-text search features, e-commerce sites, content management systems, and big data applications that demand high query performance and scalability.

Apache Solr videos

+ Add

Solr Index - Learn about Inverted Indexes and Apache Solr Indexing

More videos:

  • Review - Solr Web Crawl - Crawl Websites and Search in Apache Solr

TmpState.dev videos

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

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Category Popularity

0-100% (relative to Apache Solr and TmpState.dev)

Apache Solr

TmpState.dev

Custom Search Engine
100 100%
Custom Search Engine
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Custom Search
100 100%
Custom Search
0% 0
Databases
0 0%
Databases
100% 100

Questions & Answers

As answered by people managing Apache Solr and TmpState.dev.

What makes your product unique?

TmpState.dev's answer:

TmpState is a tokenless temporary JSON database. One curl tmpstate.dev creates a real database and returns its URL - and that URL is the only credential. No signup, no API keys, no .env, no OAuth.

  • Zero credentials by design. The database URL is a capability (30+ characters of entropy, hashed at rest), the same trust model as an unguessable Google Docs share link. Nothing to provision, rotate, or leak into a repo.
  • Agent-native. It is also a zero-key remote MCP server, so an AI agent can create and use its own backend with no auth handshake - it self-onboards from llms.txt.
  • Ephemeral by default. Databases are free for 24 hours and expire automatically unless you keep them, so nothing lingers or bills silently.
  • Honest, transparent pricing. Free for 24h, one-time extensions from $1, always-on Pro at $8/month. Every charge is disclosed before it is billed.

Why should a person choose your product over its competitors?

TmpState.dev's answer:

Compared to jsonbin.io, npoint.io, json-server, or standing up Firebase/Supabase, TmpState removes the entire setup step:

  • No account and no keys - you get a working database from a single request, versus signing up and managing credentials elsewhere.
  • Faster to first write - one curl, not a dashboard, a project, and a connection string.
  • Built for agents - a native MCP server means your AI agent wires up its own storage instead of you pasting secrets into it.
  • Safe to abandon - deletion by default means no orphaned data or surprise bills; you only pay ($1 extension or $8/month Pro) when the data actually matters.

Best for throwaway and prototype state. It is honest about when not to use it: it is not meant to be your permanent production database.

How would you describe the primary audience of your product?

TmpState.dev's answer:

Developers and the AI agents working on their behalf. Primarily:

  • Builders using AI coding agents (Claude Code, Cursor, and similar) who want their agent to provision its own backend.
  • Indie hackers and solo builders prototyping quickly across several projects.
  • Hackathon participants who need a backend in the next ten minutes and will not sign up for anything.
  • Anyone who needs disposable, short-lived JSON storage without the ceremony of a full database.

What's the story behind your product?

TmpState.dev's answer:

TmpState came out of a recurring frustration in agent workflows: AI agents constantly need somewhere to keep state, but you cannot hand them your real cloud credentials, and wiring up a database mid-task kills the flow. So the model was inverted - build a database where the URL itself is the only credential, so an agent (or a person with one curl) can create its own backend instantly, with nothing to sign up for and nothing to leak. It is a solo, founder-built, agent-first product, launched in July 2026.

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Solr and TmpState.dev

Apache Solr Reviews

Top 10 Site Search Software Tools & Plugins for 2022
Apache Solr is optimized to handle high-volume traffic and is easy to scale up or down depending on your changing needs. The near real-time indexing capabilities ensure that your content remains fresh and search results are always relevant and updated. For more advanced customization, Apache Solr boasts extensible plug-in architecture so you can easily plug in index and...
Source: influencermarketinghub.com
5 Open-Source Search Engines For your Website
Apache Solr is the popular, blazing-fast, open-source enterprise search platform built on Apache Lucene. Solr is a standalone search server with a REST-like API. You can 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.
Source: vishnuch.tech
Elasticsearch vs. Solr vs. Sphinx: Best Open Source Search Platform Comparison
Solr is not as quick as Elasticsearch and works best for static data (that does not require frequent changing). The reason is due to caches. In Solr, the caches are global, which means that, when even the slightest change happens in the cache, all indexing demands a refresh. This is usually a time-consuming process. In Elastic, on the other hand, the refreshing is made by...
Source: greenice.net
Algolia Review โ€“ A Hosted Search API Reviewed
If youโ€™re not 100% satisfied with Algolia, there are always alternative methods to accomplish similar results, such as Solr (open-source & self-hosted) or ElasticSearch (open-source or hosted). Both of these are built on Apache Lucene, and their search syntax is very similar. Amazon Elasticsearch Service provides a fully managed Elasticsearch service which makes it easy to...
Source: getstream.io

TmpState.dev Reviews

We have no reviews of TmpState.dev yet.
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Social recommendations and mentions

Based on our record, Apache Solr seems to be more popular. It has been mentiond 19 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.

Apache Solr mentions (19)

  • List of 45 databases in the world
    Solrโ€Šโ€”โ€ŠOpen-source search platform built on Apache Lucene. - Source: dev.to / almost 2 years ago
  • Considerations for Unicode and Searching
    I want to spend the brunt of this article talking about how to do this in Postgres, partly because it's a little more difficult there. But let me start in Apache Solr, which is where I first worked on these issues. - Source: dev.to / about 2 years ago
  • Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need ๐ŸŒŒ
    Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / almost 3 years ago
  • Looking for software
    Apache Solr can be used to index and search text-based documents. It supports a wide range of file formats including PDFs, Microsoft Office documents, and plain text files. https://solr.apache.org/. Source: about 3 years ago
  • 'google-like' search engine for files on my NAS
    If so, then https://solr.apache.org/ can be a solution, though there's a bit of setup involved. Oh yea, you get to write your own "search interface" too which would end up calling solr's api to find stuff. Source: over 3 years ago
View more

TmpState.dev mentions (0)

We have not tracked any mentions of TmpState.dev yet. Tracking of TmpState.dev recommendations started around Jul 2026.

What are some alternatives?

When comparing Apache Solr and TmpState.dev, you can also consider the following products

ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.

Supabase - An open source Firebase alternative

Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.

Upstash - Upstash provides Serverless Redis and Kafka as a service.

Swiftype - The simplest way to add search to your website or application. Sign up for free.

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

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