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Architects Research Society

Dec 3, 2022 · Databases

Solr vs Elasticsearch: Choosing the Right Search Engine for Your Organization

This article compares Solr and Elasticsearch, examining their cloud, analytics, and cognitive search capabilities, and provides guidance on selecting the most suitable engine based on factors such as deployment complexity, resource requirements, scalability, integration with Hadoop ecosystems, and specific organizational use cases.

Big DataElasticsearchSearch Engine

0 likes · 9 min read

Solr vs Elasticsearch: Choosing the Right Search Engine for Your Organization

Architects Research Society

Jun 4, 2022 · Operations

Improving Solr Search Stability and Performance in a High‑Traffic Personalization Service

This article describes how a team tackled stability and performance problems in a SolrCloud‑based search and recommendation stack serving 150,000 requests per minute, detailing root‑cause analysis, memory and GC tuning, replica configuration changes, and the resulting reductions in latency, resource usage, and operational complexity.

JavaSearchcloud

0 likes · 14 min read

Improving Solr Search Stability and Performance in a High‑Traffic Personalization Service

Architects Research Society

May 20, 2022 · Backend Development

Optimizing Apache Solr Schema and Configuration for Performance

This article explains how to tune Apache Solr by configuring caches, SolrCloud, commit strategies, dynamic fields, indexed versus stored fields, copyField, filter queries, and faceting to achieve maximum search performance for production workloads.

IndexingSearchSolrCloud

0 likes · 12 min read

Optimizing Apache Solr Schema and Configuration for Performance

Big Data Technology Architecture

Apr 20, 2020 · Big Data

Comparing Solr and Elasticsearch: Similarities, Differences, and Practical Insights

This article provides a detailed comparison of Solr 7.3 and Elasticsearch 7.4, covering their shared Lucene foundation, distributed architecture, feature sets, configuration approaches, storage options, shard management, and ecosystem differences to help readers choose the right search platform for their needs.

ElasticsearchIndexingSearch Engine

0 likes · 16 min read

Comparing Solr and Elasticsearch: Similarities, Differences, and Practical Insights

Architects Research Society

Jan 16, 2020 · Big Data

Elasticsearch vs Solr: Choosing the Right Open‑Source Search Engine

This article compares Elasticsearch and Solr, examining their history, community, licensing, core technologies, APIs, scalability, vendor support, ecosystem, performance, management tools, and visualization options to help organizations decide which open‑source search engine best fits their big‑data and search requirements.

Big DataElasticsearchSearch Engine

0 likes · 12 min read

Elasticsearch vs Solr: Choosing the Right Open‑Source Search Engine

Architects Research Society

Jan 15, 2020 · Big Data

Observations on Cloud‑Integrated, Analytics‑Enabled, Cognitive Search: Solr vs. Elasticsearch

This article compares Solr and Elasticsearch by examining their cloud integration, analytics capabilities, and cognitive search features, offering guidance on which open‑source search engine best fits different organizational needs, resource constraints, and use‑case requirements.

ElasticsearchSearch Enginesanalytics

0 likes · 9 min read

Observations on Cloud‑Integrated, Analytics‑Enabled, Cognitive Search: Solr vs. Elasticsearch

Big Data Technology Architecture

Aug 12, 2019 · Fundamentals

Understanding Full‑Text Search and Comparing Solr, Lucene, and Elasticsearch

This article explains the principles of full‑text search, contrasts structured and unstructured data retrieval methods, introduces Lucene, Solr, and Elasticsearch, and provides a detailed comparison of their features, community support, maturity, and documentation to help developers choose the right search engine for their projects.

ElasticsearchFull-Text SearchIndexing

0 likes · 15 min read

Understanding Full‑Text Search and Comparing Solr, Lucene, and Elasticsearch

Big Data Technology Architecture

Aug 5, 2019 · Big Data

Zookeeper in Distributed Systems: Roles in Kafka, Hadoop, HBase, and Solr

This article explains Zookeeper’s core concepts, its ZAB consensus protocol, and surveys its essential roles in major big‑data components such as Kafka, Hadoop, HBase, and Solr, illustrating how it provides configuration, naming, coordination, leader election, and high‑availability services across distributed architectures.

Big DataHBaseHadoop

0 likes · 5 min read

Zookeeper in Distributed Systems: Roles in Kafka, Hadoop, HBase, and Solr

Qunar Tech Salon

Nov 28, 2017 · Backend Development

Optimizing the TTS Pricing Engine: From Monolithic V1 to Scalable V2 Architecture

This article details the evolution of Qunar's TTS pricing engine from a monolithic V1 implementation with dual-level caching and blocking HTTP interfaces to a scalable V2 architecture featuring service separation, asynchronous processing, CQRS-based rule storage, canal synchronization, Solr and Redis indexing, and Kafka-driven data pipelines.

CQRSKafkaMicroservices

0 likes · 10 min read

Optimizing the TTS Pricing Engine: From Monolithic V1 to Scalable V2 Architecture

Qunar Tech Salon

Feb 14, 2016 · Big Data

Accelerating Real‑Time Data Queries with Solr in Alibaba's Jushita Platform

This article explains how Alibaba's Jushita platform leverages Apache Solr with a wide‑table data model and a custom QParser plugin to achieve real‑time, multi‑dimensional buyer filtering that traditional relational databases cannot handle efficiently in big‑data scenarios.

Real-time QuerySearch Enginedata indexing

0 likes · 10 min read

Accelerating Real‑Time Data Queries with Solr in Alibaba's Jushita Platform