Cloud Computing

Increase your capabilities on the fly without investing in new infrastructure, training new personnel or licensing new software.

Cost-effective delivery model for cloud-based big data analytic to turn data into action

Cloud Computing is changing the way world works. Today companies can utilize IT capabilities without spending a penny on new infrastructure, its maintenance and manpower. Several companies big and small are today availing IT expertise, IT enabled solutions and offshore development via cloud computing.

Craterzone employs veterans in building customized analytic solutions using Big Data technologies like Neo4j Graph database and Cassandra. Leveraging on such expertise, we are providing Big Data consulting and development services worldwide. These solutions are based on the latest open source technologies. Our team of Neo4j Developers and Casandra Developers, dedicatedly works to help companies bridge the ever widening span between the overflow volume of complex data and the ability to perform in depth analysis to interpret and find meaningful insights.

To help empower your businesses with easy access to the data that will help them make more informed decisions faster, we utilize open-source software such as Hadoop, Neo4j Graph Database and Cassandra developers for excellent cloud infrastructure.

Big data analytics are geared towards processing large and complex data-sets (extracting, storing data from a diversity of structured and unstructured sources of information) through proficient No SQL databases to help companies for real-time analysis, visualization and foresight.

Craterzone’s Big data analytic team is well experienced in building customized analytic solutions using Big Data technologies such as

Hadoop Neo4j (GraphDB)

open-source software for reliable, scalable, distributed computing Highly scalable, rich, native graph database.

MongoDB cassandra

Champion NoSQL for cross-platform document-oriented database Perfect for linear scalability, fault-tolerance on cloud infrastructure.

Hadoop

MongoDB (from “humongous”) is classified as document oriented NoSQL database. It stores JSON-style documents with dynamic schemas offer simplicity and power making the integration of data in certain types of applications easier and faster.

The Apache Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models each offering local computation and storage. Hadoop is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers.

Neo4j

Neo4j is a highly scalable, rich, native graph database and is used in mission- critical application by businesses of all sizes. Considered as world’s leading graph database, Neo4j comes with stimulated development cycle and smart business responses.

Cassandra

For scalability, high availability and performance, Apache Cassandra database is the perfect choice. Ideal for mission- critical data for its linear scalability and proven fault-tolerance on hardware or cloud infrastructure. It supports to replicate across multiple data-centers, to provide reduced latency for end-users.

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