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Apache Solr VS logit.io

Compare Apache Solr VS logit.io and see what are their differences

IsDown.app
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Apache Solr logo Apache Solr

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

logit.io logo logit.io

Logit.io provides complete observability of logs, metrics and traces. The platform also offers alerting & monitoring, as well as Prometheus, OpenSearch & Grafana. Ingest any type of data to see real-time insights about your applications and services
  • Apache Solr Landing page
    Landing page //
    2023-04-28
  • logit.io Landing page
    Landing page //
    2021-08-11

Centralise logs, metrics and traces into a single platform for observability with Logit.io. The Logit.io platform provides complete data reporting, monitoring and alerting by harnessing the best open source tools including ELK, OpenSearch, Prometheus & Grafana.

As the Logit.io platform operates in compliance with GDPR, HIPAA, SOC 2 and is ISO 27001 & PCI Service Provider certified, you can rest assured that we uphold the best security standards possible to protect our user’s data and information security interests. The platform can also be used to meet compliance with the Cybersecurity Maturity Model certification for the following ID numbers AU.2.041, AU.2.042, AU.2.044, AU.3.045, AU.3.046, AU.3.048, AU.3.049, AU.3.050, AU.3.051 and AU.3.052.

In addition to this, our platform can also be used to detect and mitigate issues such as Log4Shell CVE-2021-44228.

Whether you need to conduct application performance monitoring, log management, infrastructure monitoring, SIEM, or data visualisation, the Logit.io platform is here to provide a complete platform for data management and analysis.

Apache Solr

Website
solr.apache.org
Pricing URL
-
$ Details
Platforms
-
Release Date
-
Edit details

logit.io

Website
logit.io
Pricing URL
Official logit.io Pricing
$ Details
paid Free Trial $0.74 (per GB per day)
Platforms
Ruby Java Python .Net GoLang Log4net Logary Node JS Fastly CloudFront Windows Google Chrome Linux iOS REST API Slack Apache Windows IIS
Release Date
2014 November
Edit details

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.

logit.io features and specs

  • Retention Period
    365+ days with Enterprise
  • Free Trial
    14-day free trial, no credit card required
  • Grafana
    Unlimited
  • ELK Stack
    Unlimited
  • Logs Per Day
    2GB - 15TB+ with Enterprise
  • Users
    Unlimited
  • Search and Filtering
  • Stack Version Management
  • Logging
  • Metrics
  • Elasticsearch Cluster
  • Logstash
  • Kibana
  • Custom Visualisations and Dashboards
  • Saved Searches
  • Integrations (Slack, Pagerduty, etc)
  • Preconfigured Log/Metric Collection
  • Custom Log/Metric Collection
  • Auto-scaling
  • Over-usage Protection
  • Preconfigured Logstash Parsing
  • Two Factor Authentication (2FA)
  • Role Based Access Control
  • Audit Log
  • Help Centre

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.

Analysis of logit.io

Overall verdict

  • Logit.io is a solid choice for organizations looking for a reliable log management service, especially those that appreciate flexibility with open-source tools like ELK Stack. Its features and capabilities align well with current industry needs, making it a competitive option in the log management space.

Why this product is good

  • Logit.io is considered good because it offers a comprehensive log management and analysis platform that supports multiple technologies, including ELK Stack and Grafana. It provides valuable insights through data visualization, alerting, and reporting, making it easier to monitor application and infrastructure performance in real-time. Its ease of use, scalability, customizability, and support for various data sources also contribute to its positive reputation.

Recommended for

    Logit.io is recommended for businesses and organizations that require robust log management solutions, developers and IT teams who want to leverage open-source tools without managing the infrastructure themselves, and enterprises that need scalable and flexible log analysis to enhance their operational efficiency.

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

logit.io videos

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

Add video

Category Popularity

0-100% (relative to Apache Solr and logit.io)

Apache Solr

logit.io

Custom Search Engine
100 100%
Custom Search Engine
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100
Custom Search
100 100%
Custom Search
0% 0
Log Management
0 0%
Log Management
100% 100

User comments

Share your experience with using Apache Solr and logit.io. For example, how are they different and which one is better?
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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 logit.io

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 – A Hosted Search API Reviewed
If you’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

logit.io Reviews

The Top 14 Free and Open Source SIEM Tools For 2022
SIEM as a Service is Logit.io’s managed offering providing all of the key components required for organisations to secure their operations at one of the most affordable rates in the industry.
Source: logit.io

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
    Solr — Open-source search platform built on Apache Lucene. - Source: dev.to / 11 months 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 / 11 months ago
  • Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌
    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 / over 1 year 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 2 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 2 years ago
View more

logit.io mentions (0)

We have not tracked any mentions of logit.io yet. Tracking of logit.io recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Solr and logit.io, you can also consider the following products

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

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

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.

Plumbr - Plumbr is an application performance platform that provides insights to users on the performance of their applications.

Typesense - Typo tolerant, delightfully simple, open source search 🔍

Papertrail - Frustration-free log management. Get started in seconds.

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