Databricks VS BoxyHQ
Compare Databricks VS BoxyHQ and see what are their differences
Bitwarden is a free and open source password management solution for individuals, teams, and business organizations.
featured
Databricks
Google BigQuery
Looker
Jupyter
Presto DB
Informatica
Rakam
Concurrent
BoxyHQ
Auth0
Skyflow
Keycloak
Frontegg
WorkOS
FusionAuth
Dataset Search
SaaS, Premium Self-Hosted, or FREE OSS Self-Hosted
Enterprise Single Sign On (SSO) SAML SSO enables a secure authentication via an organization’s Identity Provider (IdP), as opposed to users or IT admins managing thousands, of usernames and passwords. With our product SAML Jackson, enterprise users can access your product via one of their secure IdPs (like Okta, Microsoft Azure, AWS, etc), which manages access and security for the entire organization.
Directory Sync Organizations use directories from different providers to manage users and enforce their access to organization resources. By integrating our Directory Sync product into your solution you can activate and deactivate user accounts, create groups, and keep your app in sync with the user directory in real-time. Supports the SCIM 2.0 protocol.
Additionally, we offer Audit Logs to track critical events in your application and a Data Privacy Vault to safeguard sensitive data.
Databricks BoxyHQBoxyHQ's answer:
BoxyHQ stands out for its comprehensive suite of security building blocks tailored specifically for developers. With features like SAML/OIDC Single Sign-On (SSO) and Directory Sync with SCIM 2.0, BoxyHQ simplifies identity management and access control for B2B SaaS companies. Its focus on providing a seamless and customizable solution empowers developers to enhance security without compromising user experience. Additionally, BoxyHQ offers Audit Logs to track critical events within the product and a Privacy Vault, an API to protect sensitive data.
BoxyHQ's answer:
BoxyHQ stands out for several reasons:
BoxyHQ's answer:
BoxyHQ's primary audience encompasses:
BoxyHQ's answer:
The inception of BoxyHQ is deeply linked with Deepak's journey as the former CTO of a cybersecurity scaleup. In his role, Deepak wrestled with the challenge of allocating resources to enterprise compliance features that diverged from their core value proposition. Alongside Sama, they witnessed the escalating tide of cyber crimes, compounded by the concerning statistic that around 70% of development teams often bypass essential security measures due to time constraints. Motivated by this shared purpose of bringing security earlier in the developer live cycle, they embarked on a mission to address these challenges head-on. BoxyHQ emerged as a solution designed to automate product security and provide low-code APIs for seamless integration, empowering developers to implement enterprise-compliant security measures effortlessly. Through BoxyHQ, Deepak and the team strive to alleviate the burden on development teams while fortifying organizations against the escalating threats posed by cyber crimes.
BoxyHQ's answer:
We value the confidentiality of our large enterprise clients due to NDA agreements. However, some of our notable customers include Cal.com, Dub, Supademo, Spike, among many others.
BoxyHQ's answer:
BoxyHQ uses the following technologies: - Next.js - PostgreSQL - Docker - Kubernetes
Based on our record, Databricks seems to be more popular. 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.
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
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 / over 1 year 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 / almost 2 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 2 years ago
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
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Auth0 - Auth0 is a program for people to get authentication and authorization services for their own business use.
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.
Skyflow - Skyflow’s data privacy vaults deliver security, compliance and governance via a simple API
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.
Keycloak - Open Source Identity and Access Management for modern Applications and Services.