csvbox
Flatfile 3.0 – Embeds
Flatfile
OneSchema
DataFlowMapper
DolphinCSV
Layercode UseCSV
nuvo
Databricks
Google BigQuery
Looker
Jupyter
Presto DB
Rakam
Informatica
Concurrent
csvbox DatabricksBased on our record, Databricks should be more popular than csvbox. It has been mentiond 18 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.
CSXBox is particularly beneficial for companies requiring support for larger files (up to 500,000 rows) and needs a reliable platform that can manage such volume without the associated cost. It enjoys “fast” import speeds, claiming that users can enjoy a “production-ready data importer in minutes, not weeks.”. - Source: dev.to / 12 months ago
You might be better off with something like https://csvbox.io/. - Source: Hacker News / about 3 years ago
As a solution I built the csvbox.io import widget. Its a no code, drop-in widget that allows you to accept files in minutes. Users can upload files, match columns, validate data all in a few clicks. You receive ready to use data in your app. A better experience for your customers, fewer headaches for your team! Source: almost 4 years ago
Show HN: Csvbox.io – CSV import button for a web app, SaaS or API\ (16 comments). Source: about 4 years ago
Vendors like Confluent, Snowflake, Databricks, and dbt are improving the developer experience with more automation and integrations, but they often operate independently. This fragmentation makes standardizing multi-directional integrations across identity and access management, data governance, security, and cost control even more challenging. Developing a standardized, secure, and scalable solution for... - Source: dev.to / 9 months ago
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 2 years ago
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 3 years ago
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 3 years ago
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 3 years ago
Flatfile 3.0 – Embeds - Meet Flatfile 3.0, the fully re-imagined platform for onboarding customer data into your product.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Flatfile - The new standard for data import
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.
OneSchema - Import customer CSV data 10x faster
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.