Mage Data
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DATPROF Privacy
Immuta
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RedGate SQL Monitor
BMC Compuware ISPW
Databricks
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Jupyter
Looker
Presto DB
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Mageâ„¢ is the leading solutions provider for data security and data privacy software for global enterprises. Built upon a patented and award-winning solution, the Mage platform enables organizations to stay on top of privacy regulations while ensuring security and privacy of data. Top Swiss Banks, Fortune 10 organizations, Ivy League Universities, and Industry Leaders in the financial and healthcare businesses protect their sensitive data with the Mageâ„¢ platform for Data Privacy and Security. Deploying state-of-the-art privacy enhancing technologies for securing data, Mageâ„¢ delivers robust data security while ensuring privacy of individuals.
Visit www.magedata.ai to explore the brand’s new website and to check out the company’s solutions.
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Mage Data's answer
Mage is targeted towards enterprises that have a diverse data landscape – from mainframes to relational databases, to more modern cloud-based databases, file servers (on-premise or on-cloud) as well as SaaS application. From a single, enterprise-wide platform, Mage enables stakeholder collaboration to drive data security policy through the use of patented solutions, including data discovery and classification, the use of privacy enhancing/preserving techniques, static & dynamic data masking, database activity monitoring, DSAR automation, etc. Using a zero-trust, no-code approach, Mage enables enterprise-wide security, regulatory compliance by taking a risk-elimination approach. We have enabled global leaders share data confidently while reducing the risk of carrying sensitive data by up to 95%.
The Mage platform holistically provides coverage for data security right from data discovery, data anonymization, activity monitoring, and Data Subject Access Rights Automation all in a single solution.
Mage Data's answer
• One-stop shop for data security
• Built from the ground up – so shared intelligence, easy deployment, etc Most, if not all competition products are built through acquisitions or partnerships, and are rarely built from the ground up. The Mage platform is a single, integrated platform that has been purpose-built to solve the issue of data security faced by global enterprises. Being a single integrated platform, each of the product modules work seamlessly across the platform and the intelligence can be shared across the modules. While Mage provides capabilities within the individual modules, it can also integrate seamlessly with existing solutions that organizations may possess to ensure smooth functioning with the IT landscape of the customer.
• Unlike most of our competitors, the Mage platform is compatible with a wide variety of data stores that include both, the legacy data stores, as well as the new gen data stores, hosted on either cloud or on-premise.
Mage Data's answer
You can read our story at https://magedata.ai/company/about/brand-story/
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 / almost 2 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 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
Informatica - As the world’s leader in enterprise cloud data management, we’re prepared to help you intelligently lead—in any sector, category or niche.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
DATPROF Privacy - ✔ Mask or anonymize privacy sensitive data ✔ Generate synthetic test data ✔ Consistent over multiple applications and databases
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.
Immuta - Immuta is a decent and well-regarded Universal Cloud Data Access Control that provides multiple capabilities to empower operations teams, and data engineers automate data access control throughout various phases of their cloud data infrastructure wi…
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.