Autodesk SeeControl vs Solr
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. 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. | Autodesk SeeControl is an enterprise IoT cloud service that helps manufacturers to connect, analyze, and manage their products. It virtualizes machines, links them with reporting devices, and through analytics unlocks the data trapped inside—utilizing the unlimited computing power of a cloud native architecture. |
Advanced full-text search capabilities;
Optimized for high volume web traffic;
Standards-based open interfaces - XML, JSON and HTTP;
Comprehensive HTML administration interfaces;
Server statistics exposed over JMX for monitoring;
Linearly scalable, auto index replication, auto-failover and recovery;
Near real-time indexing;
Flexible and adaptable with XML configuration;
Extensible plugin architecture | - |
Statistics | |
Stacks 805 | Stacks 6 |
Followers 644 | Followers 12 |
Votes 126 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |
| No integrations available | |
What are some alternatives to Solr, Autodesk SeeControl?
Algolia
Our mission is to make you a search expert. Push data to our API to make it searchable in real time. Build your dream front end with one of our web or mobile UI libraries. Tune relevance and get analytics right from your dashboard.
Dejavu
dejaVu fits the unmet need of being a hackable data browser for Elasticsearch. Existing browsers were either built with a legacy UI and had a lacking user experience or used server side rendering (I am looking at you, Kibana).
Elassandra
Elassandra is a fork of Elasticsearch modified to run on top of Apache Cassandra in a scalable and resilient peer-to-peer architecture. Elasticsearch code is embedded in Cassanda nodes providing advanced search features on Cassandra tables and Cassandra serve as an Elasticsearch data and configuration store.
Tantivy
It is a full-text search engine library inspired by Apache Lucene and written in Rust. It is not an off-the-shelf search engine server, but rather a crate that can be used to build such a search engine.
Jina
It is geared towards building search systems for any kind of data, including text, images, audio, video and many more. With the modular design & multi-layer abstraction, you can leverage the efficient patterns to build the system by parts, or chaining them into a Flow for an end-to-end experience.
Amazon IoT
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. AWS IoT can support billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and to other devices reliably and securely. With AWS IoT, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected.
Mirage
The Elasticsearch query DSL supports 100+ query APIs ranging from full-text search, numeric range filters, geolocation queries to nested and span queries. Mirage is a modern, open-source web based query explorer for Elasticsearch.
Davra
Davra is a full-stack application enablement platform for the industrial Internet of Things (IoT). It provides the tools and technologies to launch intelligent, connected solutions quickly, securely, and at scale.
Node-RED
It is a programming tool for wiring together hardware devices, APIs and online services in new and interesting ways.
Azure IoT Hub
Use device-to-cloud telemetry data to understand the state of your devices and define message routes to other Azure services without writing any code. In cloud-to-device messages, reliably send commands and notifications to your connected devices and track message delivery with acknowledgement receipts. Device messages are sent in a durable way to accommodate intermittently connected devices.
