Our clients
Accelerate implementation with our Endeca migration blueprint
Features
- Open architecture Open source technologies and open cloud native architectures unlock innovation within your ecommerce platform
- Semantic search Advanced query understanding with concept search service and natural language processing.
- Elasticity and peak readiness Cloud infrastructure provides just-in-time capacity and high availability
- Highly scalable and robust Share-nothing microservices ensures high scalability and resilience
- Data scalability. From tens of thousands to hundreds of millions items in the catalog - horizontally scalable search indexes scale with your data.
- High throughput. Battle tested cloud architecture handling thousands of parallel sessions.
- Low latency Optimized search indexes deliver under 100 ms latency for most queries
Technology stack
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Infrastructure: AWS, GCP or Microsoft Azure - all major cloud providers are supported. Private cloud option is available as well
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Orchestration: K8s or its cloud wrappers
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Search engine: Elasticsearch or Solr Cloud
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Microservices: Spring Boot or Netflix stack
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CMS: wide choice of open source and cloud headless CMS
- Messaging: Kafka or cloud native messaging services
Read more about our Endeca replatforming case studies
How to replatform e-commerce search from Endeca to Solr
This case study introduces one of our Endeca migration journeys to the cloud-based open source search engine. We cover our approach, methodology and technical blueprint
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High-performance auto parts search: moving from Endeca to Elasticsearch
In this case study, we explore how to we helped auto parts retailers to migrate and break free from Endeca performance limitations with low latency cloud-based search engine
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How to replatform Endeca Rules
In this case study, we describe how to implement Endeca business rules migration with open source search engines
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Get started with Endeca migration
We provide flexible engagement options to migrate from Endeca. Contact us today to start with a workshop, discovery, or PoC.
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