Molaris works with dedication to serve the best in the industry. From development to support and maintenance, our Elasticsearch experts work on every requirement that our client has. With the unique document-oriented approach of Elasticsearch customized by our team, Elasticsearch is quick and enhanced search based development technology for an outstanding business solution.
We help companies optimally streamline their business applications with Elasticsearch and also helps enterprises implement big data technologies using Elasticsearch
Web application development with optimised search capabilities based on the ELK stack.
Support for the migration and configuration of an Elasticsearch cluster optimized for your data
Our consultants have vast of experience and deep technical knowledge to help you streamline project timelines and drive business goals
Need help to plan and set up an Elasticsearch cluster deployment optimised for your solution?
We provide ongoing monitoring for your application via our Elastic experts to ensure optimal performance of your solution. Any potential issues will be diagnosed and resolved in a speedy and proactive manner
Molaris Elasticsearch engineers proved their knowledge by an Elastic certified exam as a versatile Elasticsearch experts who can develop solutions for indexing, searching and managing your data.
Our Elasticsearch experts have accomplished the biggest Elasticsearch database planning and deployment in Hungary ever. With the total database size over 20+ petabytes.
You have an idea that needs a search functionalities with extraordinary response time? We can make it for you!
With our application development service we can realise your solution based on the lightning fast ELK stack.
Hiring in-house teams or local market players can be expensive and burn a hole in the project budget. Don’t waste your money!
Hire Elastic Certified Engineers to solve the problems you have.
Elasticsearch is built on the foundations of Apache Lucene, a powerful real time analytics and search engine. It is simple, freely available, can be picked up quickly, RESTful and distributed.
Elasticsearch can be used with all types of data, whether structured or unstructured, including numbers, text and geo. Full-text search is just the start of the story for organizations across the globe which use Elasticsearch
Petabytes
The database sizes altogether we have deployed so far
Petabytes
The biggest database size we have planned and deployed
Elastic Certified Engineer
Number of Molaris engineers with the certification
Migrated sources
The number of input sources we have migrated until now
How Can Elasticsearch Outsourcing Help You?
Reduced development cost
High-quality, secure development
A multidisciplinary team for all services
Faster time to market
Long-term partnerships you can rely on
Elasticsearch is a distributed, free and open search and analytics engine for all types of data, including textual, numerical, geospatial, structured, and unstructured. Elasticsearch is built on Apache Lucene and was first released in 2010 by Elasticsearch N.V. (now known as Elastic). Known for its simple REST APIs, distributed nature, speed, and scalability, Elasticsearch is the central component of the Elastic Stack, a set of free and open tools for data ingestion, enrichment, storage, analysis, and visualization.
ELK is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch. The Elastic Stack is the next evolution of the ELK Stack.
NoSQL databases (aka "not only SQL") are non-tabular databases and store data differently than relational tables. NoSQL databases come in a variety of types based on their data model. The main types are document, key-value, wide-column, and graph. They provide flexible schemas and scale easily with large amounts of data and high user loads.
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