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  1. Stackups
  2. Application & Data
  3. Databases
  4. Big Data As A Service
  5. IPFS vs Snowflake

IPFS vs Snowflake

OverviewComparisonAlternatives

Overview

Snowflake
Snowflake
Stacks1.2K
Followers1.2K
Votes27
IPFS
IPFS
Stacks209
Followers181
Votes0

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Detailed Comparison

Snowflake
Snowflake
IPFS
IPFS

Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.

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.

-
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.
Statistics
Stacks
1.2K
Stacks
209
Followers
1.2K
Followers
181
Votes
27
Votes
0
Pros & Cons
Pros
  • 7
    Public and Private Data Sharing
  • 4
    User Friendly
  • 4
    Multicloud
  • 4
    Good Performance
  • 3
    Great Documentation
No community feedback yet
Integrations
Python
Python
Apache Spark
Apache Spark
Node.js
Node.js
Looker
Looker
Periscope
Periscope
Mode
Mode
No integrations available

What are some alternatives to Snowflake, IPFS ?

Google BigQuery

Google BigQuery

Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.

Amazon Redshift

Amazon Redshift

It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

Qubole

Qubole

Qubole is a cloud based service that makes big data easy for analysts and data engineers.

Amazon EMR

Amazon EMR

It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.

Altiscale

Altiscale

we run Apache Hadoop for you. We not only deploy Hadoop, we monitor, manage, fix, and update it for you. Then we take it a step further: We monitor your jobs, notify you when something’s wrong with them, and can help with tuning.

Ethereum

Ethereum

A decentralized platform for applications that run exactly as programmed without any chance of fraud, censorship or third-party interference.

Stitch

Stitch

Stitch is a simple, powerful ETL service built for software developers. Stitch evolved out of RJMetrics, a widely used business intelligence platform. When RJMetrics was acquired by Magento in 2016, Stitch was launched as its own company.

Azure Synapse

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Dremio

Dremio

Dremio—the data lake engine, operationalizes your data lake storage and speeds your analytics processes with a high-performance and high-efficiency query engine while also democratizing data access for data scientists and analysts.

Hyperledger Fabric

Hyperledger Fabric

It is a collaborative effort created to advance blockchain technology by identifying and addressing important features and currently missing requirements. It leverages container technology to host smart contracts called “chaincode” that comprise the application logic of the system.

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