Technology Category
- Application Infrastructure & Middleware - Blockchain
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Cement
- Construction & Infrastructure
Applicable Functions
- Maintenance
- Product Research & Development
Use Cases
- Construction Management
- Infrastructure Inspection
Services
- System Integration
- Training
About The Customer
Coinpaprika is a leading cryptocurrency market data platform that provides comprehensive insights into price data, historical trends, market capitalization, trading volume, and other relevant metrics for numerous cryptocurrencies across hundreds of exchanges. The platform connects directly to almost 370 exchanges using open APIs and is actively working on integrating decentralized exchanges. Coinpaprika aims to provide developers, investors, and businesses with a user-friendly, transparent, and reliable source of information in the cryptocurrency space. Their system design consists of many services distributed across public and private infrastructure, with most CPU and disk intensive parts hosted on-premises and consumer-facing interfaces distributed globally in public cloud infrastructure.
The Challenge
Coinpaprika, a leading cryptocurrency market data platform, was facing challenges with their existing data management system. They were using InfluxDB for their time-series data and MySQL for transactional data. However, as their data volume grew, they encountered several issues with InfluxDB. The team found it difficult to extract useful metrics from the system, and extending the timeframe for queries often led to server overload. They also experienced problems with response times due to merging data blocks. The open-source version of InfluxDB lacked built-in replication and scalability, which were critical for Coinpaprika's infrastructure. Coinpaprika needed a solution that could handle their increasing data volume, provide useful metrics, and offer improved performance and scalability.
The Solution
Coinpaprika decided to switch to ClickHouse as their time-series database after evaluating several other options. The decision was based on several factors including ClickHouse's single binary architecture, positive press coverage, availability of training materials, supportive community, impressive performance metrics, sales team engagement, and mature technology stack. The transition to ClickHouse resulted in significant improvements in performance, query concurrency, and scalability. Coinpaprika was able to develop the initial version of their product using ClickHouse within just three months. They experimented with different codecs and optimized data structures, and after the successful initial setup, they migrated all their data to ClickHouse. Coinpaprika also integrated ClickHouse with their existing Go and Gorm infrastructure, which allowed them to build and maintain their solution more efficiently.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.

Case Study
System 800xA at Indian Cement Plants
Chettinad Cement recognized that further efficiencies could be achieved in its cement manufacturing process. It looked to investing in comprehensive operational and control technologies to manage and derive productivity and energy efficiency gains from the assets on Line 2, their second plant in India.

Case Study
IoT System for Tunnel Construction
The Zenitaka Corporation ('Zenitaka') has two major business areas: its architectural business focuses on structures such as government buildings, office buildings, and commercial facilities, while its civil engineering business is targeted at structures such as tunnels, bridges and dams. Within these areas, there presented two issues that have always persisted in regard to the construction of mountain tunnels. These issues are 'improving safety" and "reducing energy consumption". Mountain tunnels construction requires a massive amount of electricity. This is because there are many kinds of electrical equipment being used day and night, including construction machinery, construction lighting, and ventilating fan. Despite this, the amount of power consumption is generally not tightly managed. In many cases, the exact amount of power consumption is only ascertained when the bill from the power company becomes available. Sometimes, corporations install demand-monitoring equipment to help curb the maximum power demanded. However, even in these cases, the devices only allow the total volume of power consumption to be ascertained, or they may issue warnings to prevent the contracted volume of power from being exceeded. In order to tackle the issue of reducing power consumption, it was first necessary to obtain an accurate breakdown of how much power was being used in each particular area. In other words, we needed to be able to visualize the amount of power being consumed. Safety, was also not being managed very rigorously. Even now, tunnel construction sites often use a 'name label' system for managing entry into the work site. Specifically, red labels with white reverse sides that bear the workers' names on both sides are displayed at the tunnel work site entrance. The workers themselves then flip the name label to the appropriate side when entering or exiting from the work site to indicate whether or not they are working inside the tunnel at any given time. If a worker forgets to flip his or her name label when entering or exiting from the tunnel, management cannot be performed effectively. In order to tackle the challenges mentioned above, Zenitaka decided to build a system that could improve the safety of tunnel construction as well as reduce the amount of power consumed. In other words, this new system would facilitate a clear picture of which workers were working in each location at the mountain tunnel construction site, as well as which processes were being carried out at those respective locations at any given time. The system would maintain the safety of all workers while also carefully controlling the electrical equipment to reduce unnecessary power consumption. Having decided on the concept, our next concern was whether there existed any kind of robust hardware that would not break down at the construction work site, that could move freely in response to changes in the working environment, and that could accurately detect workers and vehicles using radio frequency identification (RFID). Given that this system would involve many components that were new to Zenitaka, we decided to enlist the cooperation of E.I.Sol Co., Ltd. ('E.I.Sol') as our joint development partner, as they had provided us with a highly practical proposal.

Case Study
Splunk Partnership Ties Together Big Data & IoT Services
Splunk was faced with the need to meet emerging customer demands for interfacing IoT projects to its suite of services. The company required an IoT partner that would be able to easily and quickly integrate with its Splunk Enterprise platform, rather than allocating development resources and time to building out an IoT interface and application platform.

Case Study
Bridge monitoring in Hamburg Port
Kattwyk Bridge is used for both rail and road transport, and it has played an important role in the Port of Hamburg since 1973. However, the increasing pressure from traffic requires a monitoring solution. The goal of the project is to assess in real-time the bridge's status and dynamic responses to traffic and lift processes.

Case Study
Bellas Landscaping
Leading landscaping firm serving central Illinois streamlines operations with Samsara’s real-time fleet tracking solution: • 30+ vehicle fleet includes International Terrastar dump trucks and flatbeds, medium- and light-duty pickups from Ford and Chevrolet. Winter fleet includes of snow plows and salters.