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MultiChain vs BDS: What are the differences?
MultiChain: Open platform for blockchain applications. It is a platform that helps users to establish a certain private Blockchains that can be used by the organizations for financial transactions; BDS: *Blockchain data parsing and persisting results *. It is a realtime data aggregating, analyzing and visualization service for chain-like unstructured data from all kinds of 3rd party Blockchains.
MultiChain and BDS can be categorized as "Blockchain" tools.
Some of the features offered by MultiChain are:
- Smart contracts are not needed
- Flexible asset metadata
- Permissioned follow-on issuance
On the other hand, BDS provides the following key features:
- 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
BDS is an open source tool with 324 GitHub stars and 42 GitHub forks. Here's a link to BDS's open source repository on GitHub.
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- No Transaction Fees4
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What is BDS?
It is a realtime data aggregating, analyzing and visualization service for chain-like unstructured data from all kinds of 3rd party Blockchains.
What is MultiChain?
It is a platform that helps users to establish a certain private Blockchains that can be used by the organizations for financial transactions.
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What companies use BDS?
What companies use MultiChain?
What companies use BDS?
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What companies use MultiChain?
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What tools integrate with BDS?
What tools integrate with MultiChain?
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What are some alternatives to BDS and MultiChain?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web