C-Systems Data Consulting

Integrating Data and Science

C-Systems specializes in in-memory computing and big data solutions. Our product portfolio includes cutting-edge ledger-based distributed platforms for fractional commodity trading. We help our clients with audit and improvements of software architecture and help to drive digital transformation with a practical approach, focusing on real-world applications of AI in business. We're committed to delivering robust, efficient solutions that simplify complex processes and enhance decision-making, helping businesses stay agile and competitive in a fast-evolving marketplace.

Our experienced team uses the latest technologies to deliver scalable, efficient, and secure solutions that help our clients achieve better business outcomes and stay competitive in their markets.

C-Systems is committed to helping businesses become more agile and data-driven. With a strong portfolio of services and a track record of partnering with well-known companies, our experienced team uses the latest technologies to develop scalable, efficient, and secure solutions. These solutions are designed to help our clients achieve better business outcomes and stay competitive in their markets.

High-Performance Data Analytics Platforms:

We provide expertise in leading technologies such as Apache Ignite, Apache Kafka, Apache Spark, Apache Hive, and Apache HBase. We design and implement cloud-based data lakes and data warehouses, integrating MPP (Massively Parallel Processing) and NoSQL technologies to enhance data handling and analytics.

Performance Optimization:

Our solutions enhance data processing speeds by up to two orders of magnitude, ensuring that your data operations are not only fast but also efficient.

Data Flows and Application Development:

We specialize in designing, developing, and delivering sophisticated data flow management and application design processes tailored to meet the specific needs of your business.

Services

Advanced Clustering with Apache Hadoop:

Our team is skilled in setting up, configuring, and managing Apache Hadoop clusters. We provide comprehensive operational planning and continuous monitoring to ensure system reliability and performance.

Custom Data Processing Stacks:

We build custom data processing solutions utilizing the latest in advanced data science tools and frameworks, catering to unique business requirements and objectives.

Fast Data with ACID In-Memory Computing:

We leverage ACID-compliant in-memory computing technologies to provide high-speed data processing that does not compromise on data integrity.

Pre-deployment Validation of Data Stacks:

We ensure that all data stacks are rigorously tested and validated before deployment, minimizing risks and optimizing performance.

Configuration Management:

Our team, founded by early innovators in data mining, brings decades of experience to the evolving fields of AI, big data, and data-driven business transformation. With expertise that predates the rise of Big Data, we specialize in creating and improving distributed data analytics systems. Whether designing new systems from scratch or upgrading existing infrastructures, we focus on providing solutions that address contemporary business challenges effectively.

Expertise

Founded by pioneers in data mining, our company boasts decades of experience in the field, predating the advent of Big Data. We are dedicated to developing distributed data analytics solutions, adept at both crafting systems from the ground up and enhancing existing infrastructures to meet modern challenges.

The team

Our Customers

Canonical

Managing a complex software system in the cloud can be daunting, especially when working with numerous platform providers. This is where Juju excels: it simplifies the orchestration process, even for intricate Big Data stacks. Thanks to the expertise of C-Systems, we were able to set up the entire system efficiently, completing the job in just under a week.

FINRA

At FINRA, meeting stringent SLAs is a significant challenge given the scale and complexity of our infrastructure. C-Systems' expertise was crucial in helping us develop a modern in-memory analytical system using Apache Spark and Hadoop clustering technologies. This collaboration has enhanced our ability to handle our data more efficiently and effectively.

Gridgain, Inc

C-Systems has collaborated with Gridgain to enhance the big data landscape by developing new integration platforms using Apache Ignite as the core in-memory engine for large-scale data processing. Our solutions include plug-ins for Apache Hadoop, Hive, Spark, and other platforms. With these integrations, existing MapReduce code can run up to 30 times faster, all without the need for new development or hardware investments.

Pivotal, Inc

C-Systems collaborated with Pivotal to rapidly develop a reference implementation software stack centered around Hadoop and cluster orchestration systems. Understanding the importance of time-to-market, C-Systems applied its specialized skills to efficiently deliver a fully deployable and tested industry-standard distributed system, achieving this at an impressive pace.

Wandisco, Plc

C-Systems collaborated with Wandisco to refine their product delivery process. Together, they established a well-defined layer of cross-functional contracts, helping Wandisco transition their platform to cloud-native architecture. A notable side benefit of this collaboration was the acceleration of the release cadence, accompanied by significant reductions in the cost of development ownership. This improvement allowed for earlier defect detection during the development phase, minimizing issues found during later validation stages.

Open Data Platform

Developing an industry-accepted reference implementation is a complex task that requires various components to integrate seamlessly. Having a team of top-tier experts can make all the difference in delivering a high-quality product on time. At C-Systems, we stand out with our decades of cumulative experience in system integration. We're proud of our capability to build a reference implementation stack in just 6 days—a timeframe few thought possible.

United Credit Bureau

C-Systems is guiding the company through a comprehensive and aggressive update of its data processing infrastructure. This project involves building a new data analytics system alongside an updated OLTP facility. The challenge lies in meeting a tight deadline while ensuring business continuity and maintaining backward compatibility. Our goal is to significantly improve performance, aiming for response and processing times that are 100 times faster.