Ultra-Fast Search Engines

Our ultra-fast search engine solutions for Big Data has made possible the development of highly capable search engines. A search engine finding records based on search terms requires sophisticated algorithms and the ability to process a staggering number of requests.

We provides search engine solutions using Apache Solr is the popular, blazing-fast search platform with Big Data platform. Which enables Advanced Full-Text Search Capabilities, Optimized for High Volume Traffic, Standards Based Open Interfaces - XML, JSON and HTTP, Comprehensive Administration Interfaces, Easy Monitoring, Highly Scalable and Fault Tolerant, Flexible and Adaptable with easy configuration,Read More

Near Real-Time Indexing for your data and Extensible Plugin Architecture.

Also we provide Apache Lucene is a high-performance, full-featured text search engine capabilities to your Big Data. It is a technology suitable for nearly any application that requires full-text search, especially cross-platform. Read Less

Big Data & Its Platform

Cassandra

Big Data, distributed, wide column and No-SQL database.

Mongo DB

Document oriented, Big Data, No-SQL Database.

Solr

Enterprises Big Data search platform with full text indexing.

Lucene

Information retrieval library, cross platform search engine for Big Data.

Hadoop

Big Data, distributed, utility tools constructed and No-SQL database.

Spark

Unified analytics engine for Big Data processing and built-in streaming platform.

Kafka

Unified, high-throughput, low-latency stream processing software platform.

NoSQL Database Solutions

NoSQL is an approach to database design that can accommodate a wide variety of data models, including key-value, document, columnar and graph formats. NoSQL, which stand for "not only SQL," is an alternative to traditional relational databases in which data is placed in tables and data schema is carefully designed before the database is built.

NoSQL databases are especially useful for working with large sets of distributed data. NoSQL databases are more scalable and . provide superior performance, and their data model addresses several issues that the relational model is not designed to address. Read More

NoSQL is particularly useful for storing unstructured data, which is growing far more rapidly than structured data and does not fit the relational schemas of RDBMS.

Common types of unstructured data include: user and session data; chat, messaging, and log data; time series data such as IoT and device data; and large objects such as video and images. Read Less

Volume

Large volumes of rapidly changing structured, semi-structured, and unstructured data.

Highly Managed

Agile sprints, quick schema iteration, and frequent code pushes.

Flexibility

Object-oriented programming that is easy to use and flexible.

Distributed

Geographically distributed scale-out architecture instead of expensive, monolithic architecture.

Artificial Intelligence

Artificial Intelligence (AI) refers to a type of intelligence that makes it possible for a machine to perform cognitive functions similar to those attributed to humans. Compare this to a traditional system, which reacts according to how it's been programmed to act.

Big Data makes it possible for AI to reach its fullest potential. AI has made relatively little progress, in part because of the lack of technologies to handle massive sets of data. But the proliferation of the internet and the influx of unprecedented amounts of information have forced these technologies to evolve more quickly, particularly when it comes to storage.

We provide solutions that transforming unstructured Read More datasets into intelligence can be the most profitable decision for business as it boosts efficiency, increases profitability, and keeps them ahead of their competition. Realizing the unmatched benefits that the blend of these technologies bring and embracing this powerful combination is no longer a choice for them. For this reason, there has been a big boom in the demand for Big Data and AI services. Read Less