Software Alternatives, Accelerators & Startups

BlockCypher VS Databricks

Compare BlockCypher VS Databricks and see what are their differences

BlockCypher logo BlockCypher

AWS for Block Chains

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
  • BlockCypher Landing page
    Landing page //
    2021-09-14
  • Databricks Landing page
    Landing page //
    2023-09-14

BlockCypher videos

Building with Blockchains and BlockCypher - Josh Cincinnati

More videos:

  • Review - FinDEVr SF 2015 / BlockCypher

Databricks videos

Introduction to Databricks

More videos:

  • Tutorial - Azure Databricks Tutorial | Data transformations at scale
  • Review - Databricks - Data Movement and Query

Category Popularity

0-100% (relative to BlockCypher and Databricks)
Cloud Infrastructure
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Cloud Computing
100 100%
0% 0
Database Tools
0 0%
100% 100

User comments

Share your experience with using BlockCypher and Databricks. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare BlockCypher and Databricks

BlockCypher Reviews

We have no reviews of BlockCypher yet.
Be the first one to post

Databricks Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Databricks notebooks are a popular tool for developing code and presenting findings in data science and machine learning. Databricks Notebooks support real-time multilingual coauthoring, automatic versioning, and built-in data visualizations.
Source: lakefs.io
7 best Colab alternatives in 2023
Databricks is a platform built around Apache Spark, an open-source, distributed computing system. The Databricks Community Edition offers a collaborative workspace where users can create Jupyter notebooks. Although it doesn't offer free GPU resources, it's an excellent tool for distributed data processing and big data analytics.
Source: deepnote.com
Top 5 Cloud Data Warehouses in 2023
Jan 11, 2023 The 5 best cloud data warehouse solutions in 2023Google BigQuerySource: https://cloud.google.com/bigqueryBest for:Top features:Pros:Cons:Pricing:SnowflakeBest for:Top features:Pros:Cons:Pricing:Amazon RedshiftSource: https://aws.amazon.com/redshift/Best for:Top features:Pros:Cons:Pricing:FireboltSource: https://www.firebolt.io/Best for:Top...
Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
Databricks is a simple, fast, and collaborative analytics platform based on Apache Spark with ETL capabilities. It accelerates innovation by bringing together data science and data science businesses. It is a fully managed open-source version of Apache Spark analytics with optimized connectors to storage platforms for the fastest data access.
Source: visual-flow.com
Top Big Data Tools For 2021
Now Azure Databricks achieves 50 times better performance thanks to a highly optimized version of Spark. Databricks also enables real-time co-authoring and automates versioning. Besides, it features runtimes optimized for machine learning that include many popular libraries, such as PyTorch, TensorFlow, Keras, etc.

Social recommendations and mentions

Based on our record, Databricks should be more popular than BlockCypher. It has been mentiond 17 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

BlockCypher mentions (2)

  • Wallet balance not correct?
    So I added old keys to MultiDoge and the wallets synced up but the balances show in MultiDoge doesn't seem to be correct. I've checked all addresses that I've added against blockcypher.com and it shows 0 balance on all but one which shows the same on Blockcypher and in MultiDoge. Is MultiDoge malfunctioning (Most likely I guess)? It shows that it's synced with the latest block. Source: over 2 years ago
  • Bitcoin newbie - sent 2 transactions with too low a fee (non replaceable).
    Thanks for that - really helpful video. Looks like my only option is to wait it out and have the transaction bounced back, but what I can't understand is that the receiver reckons they have it, yet when I try and look at the transaction id in blockstream.info its not there, but does show up under blockcypher.com Anyway, its coming up to a couple of weeks soon so will see what happens. Source: about 3 years ago

Databricks mentions (17)

  • dolly-v2-12b
    Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 1 year ago
  • Clickstream data analysis with Databricks and Redpanda
    Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / almost 2 years ago
  • DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
    Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / about 2 years ago
  • A Quick Start to Databricks on AWS
    Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 2 years ago
  • data science workspace/notebook solution thoughts?
    I am considering Hex, Deepnote, and possibly Databricks. Does anyone have any experience using the first 2 (i have worked with Databricks in the past) and have thoughts they can share? The company isn't doing any fancy data science so far so I mostly want it for deep product analytics which I can turn into reports that are easily shareable across the org. That being said, I do want to get into statistical... Source: about 2 years ago
View more

What are some alternatives?

When comparing BlockCypher and Databricks, you can also consider the following products

Hyperledger - Hyperledger is a multi-project open source collaborative effort hosted by The Linux Foundation, created to advance cross-industry blockchain technologies.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Kaleido Blockchain Business Cloud - Create and manage enterprise private blockchain networks within minutes using Kaleido's platform. Our full-stack enterprise blockchain as a service and cloud integrations support your entire blockchain journey, from PoC to live production.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

IBM MQ - IBM MQ is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.