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It is a realtime data aggregating, analyzing and visualization service for chain-like unstructured data from all kinds of 3rd party Blockchains. | NadiFin is a next-generation crypto payment gateway that enables businesses to accept cryptocurrency payments globally with no KYC requirements and instant USDC settlements. Traditional payment processors are slow, expensive, and restrictive — especially for high-risk industries. NadiFin eliminates these barriers by offering a permissionless, borderless, and efficient payment infrastructure powered by blockchain. With NadiFin, customers can pay using popular cryptocurrencies like BTC, ETH, SOL, USDT, and more, while merchants receive funds instantly auto-swapped into USDC. This removes volatility risk and ensures stable, predictable revenue. Key capabilities of NadiFin: No KYC onboarding — start accepting payments without friction Instant USDC settlements — eliminate volatility and delays Auto-swap system — customers pay in crypto, you receive stablecoin Zero chargebacks — fully irreversible blockchain payments Flat 1% fee — no hidden charges or intermediaries Developer-first APIs — integrate quickly across platforms Merchant dashboard — track transactions and manage payments Global payments — accept funds from anywhere, anytime NadiFin is especially valuable for businesses that struggle with traditional payment processors, including high-risk industries such as gaming, fintech, digital services, and subscription platforms. With seamless checkout experiences, multi-platform integrations (Shopify, WooCommerce, APIs), and direct wallet settlements, NadiFin provides a fast, secure, and scalable way to accept crypto payments. If you're looking for a truly borderless and frictionless payment solution, NadiFin is built for you. |
Cover dozens of well-known Blockchain projects, including BTC, ETH, LTC, XRP, BCH, etc;Provide an interactive data visualization BI tool;Support standard SQL Query statements so that complex query logics can be implemented easily;Provide products that query data on the Blockchain in China and it also provides data visualization BI tools | No KYC onboarding, Instant USDC settlements, Auto-swap system, Zero chargebacks, Flat 1% fee, Developer-first APIs, Merchant dashboard |
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Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

Distributed SQL Query Engine for Big Data

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.

Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.

It is an open-source data version control system for data lakes. It provides a “Git for data” platform enabling you to implement best practices from software engineering on your data lake, including branching and merging, CI/CD, and production-like dev/test environments.

Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.

Apache Kylin™ is an open source Distributed Analytics Engine designed to provide SQL interface and multi-dimensional analysis (OLAP) on Hadoop/Spark supporting extremely large datasets, originally contributed from eBay Inc.

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.

It provides a best-in-class, unified analytics platform that will forever be independent from underlying infrastructure.