BDS vs IPFS

Overview

IPFS

Stacks209

Followers181

Votes0

BDS

Stacks3

Followers9

Votes0

GitHub Stars996

Forks61

IPFS vs BDS: What are the differences?

Developers describe **IPFS ** as "Protocol for storing and sharing hypermedia in a distributed file system". It is a protocol and network designed to create a content-addressable, peer-to-peer method of storing and sharing hypermedia in a distributed file system. On the other hand, BDS is detailed as "*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.

IPFS and BDS can be primarily classified as "Blockchain" tools.

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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CLI (Node.js)

Manual

Detailed Comparison

IPFS	BDS
It is a protocol and network designed to create a content-addressable, peer-to-peer method of storing and sharing hypermedia in a distributed file system.	It is a realtime data aggregating, analyzing and visualization service for chain-like unstructured data from all kinds of 3rd party Blockchains.
IPFS is a peer-to-peer distributed file system that seeks to connect all computing devices with the same system of files. In some ways, IPFS is similar to the World Wide Web, but IPFS could be seen as a single BitTorrent swarm, exchanging objects within one Git repository. In other words, IPFS provides a high-throughput, content-addressed block storage model, with content-addressed hyperlinks.[11] This forms a generalized Merkle directed acyclic graph (DAG). IPFS combines a distributed hash table, an incentivized block exchange, and a self-certifying namespace. IPFS has no single point of failure, and nodes do not need to trust each other not to tamper with data in transit.	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
Statistics
GitHub Stars -	GitHub Stars 996
GitHub Forks -	GitHub Forks 61
Stacks 209	Stacks 3
Followers 181	Followers 9
Votes 0	Votes 0
Integrations
No integrations available	Grafana PostgreSQL Kafka Microsoft SQL Server Confluent

What are some alternatives to IPFS , BDS?

Apache Spark

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.

Presto

Distributed SQL Query Engine for Big Data

Amazon Athena

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

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.

lakeFS

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

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

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.

Splunk

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

Apache Impala

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.