Software Alternatives, Accelerators & Startups

Databricks VS AWS Certificate Manager

Compare Databricks VS AWS Certificate Manager and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

AWS Certificate Manager logo AWS Certificate Manager

AWS Certificate Manager from Amazon Web Services (AWS)
  • Databricks Landing page
    Landing page //
    2023-09-14
  • AWS Certificate Manager Landing page
    Landing page //
    2023-04-15

Databricks features and specs

  • Unified Data Analytics Platform
    Databricks integrates various data processing and analytics tools, offering a unified environment for data engineering, machine learning, and business analytics. This integration can streamline workflows and reduce the complexity of data management.
  • Scalability
    Databricks leverages Apache Spark and other scalable technologies to handle large datasets and high computational workloads efficiently. This makes it suitable for enterprises with significant data processing needs.
  • Collaborative Environment
    The platform offers collaborative notebooks that allow data scientists, engineers, and analysts to work together in real-time. This enhances productivity and fosters better communication within teams.
  • Performance Optimization
    Databricks includes various performance optimization features such as caching, indexing, and query optimization, which can significantly speed up data processing tasks.
  • Support for Various Data Formats
    The platform supports a wide range of data formats and sources, including structured, semi-structured, and unstructured data, making it versatile and adaptable to different use cases.
  • Integration with Cloud Providers
    Databricks is designed to work seamlessly with major cloud providers like AWS, Azure, and Google Cloud, allowing users to easily integrate it into their existing cloud infrastructure.

Possible disadvantages of Databricks

  • Cost
    Databricks can be expensive, especially for large-scale deployments or high-frequency usage. It may not be the most cost-effective solution for smaller organizations or projects with limited budgets.
  • Complexity
    While powerful, Databricks can be complex to set up and manage, requiring specialized knowledge in Apache Spark and cloud infrastructure. This might lead to a steeper learning curve for new users.
  • Dependency on Cloud Providers
    Being heavily integrated with cloud providers, Databricks might face issues like vendor lock-in, where switching providers becomes difficult or costly.
  • Limited Offline Capabilities
    Databricks is primarily designed for cloud environments, which means offline or on-premise capabilities are limited, posing challenges for organizations with strict data governance policies.
  • Resource Management
    Efficiently managing and allocating resources can be challenging in Databricks, especially in large multi-user environments. Mismanagement of resources could lead to increased costs and reduced performance.

AWS Certificate Manager features and specs

  • Automated Certificate Management
    AWS Certificate Manager automates the creation, renewal, and deployment of SSL/TLS certificates, reducing manual effort and the risk of human error.
  • Seamless Integration
    AWS Certificate Manager integrates easily with other AWS services such as Elastic Load Balancing (ELB), Amazon CloudFront, and Amazon API Gateway, simplifying the process of securing web applications.
  • Free Public Certificates
    AWS offers free public SSL/TLS certificates through AWS Certificate Manager, allowing users to secure their domains without additional cost.
  • Enhanced Security
    Automated renewal and deployment of certificates help ensure that your applications and services remain secure and compliant with industry standards.
  • Scalability
    AWS Certificate Manager can handle a large number of certificates, making it suitable for enterprises with many domains and subdomains.

Possible disadvantages of AWS Certificate Manager

  • AWS Ecosystem Dependency
    AWS Certificate Manager is deeply integrated with AWS services, which can be a limitation for businesses that utilize multi-cloud or hybrid cloud strategies.
  • Limited Customization
    Users have less control over certificate details and configurations compared to managing their own certificates manually or through other certificate authorities.
  • Proprietary Limitations
    AWS Certificate Manager's certificates can only be used with supported AWS services, which restricts their use in non-AWS environments.
  • Region Availability
    Some AWS regions may have limited support or features for AWS Certificate Manager compared to others, which can affect global deployment strategies.
  • Learning Curve
    New users may find it challenging to understand and utilize all the features and integrations provided by AWS Certificate Manager without sufficient AWS knowledge.

Databricks videos

Introduction to Databricks

More videos:

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

AWS Certificate Manager videos

How can I add certificates for websites to the ELB using AWS Certificate Manager?

Category Popularity

0-100% (relative to Databricks and AWS Certificate Manager)
Data Dashboard
100 100%
0% 0
Domain Name Registrar
0 0%
100% 100
Big Data Analytics
100 100%
0% 0
Network & Admin
0 0%
100% 100

User comments

Share your experience with using Databricks and AWS Certificate Manager. 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 Databricks and AWS Certificate Manager

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.

AWS Certificate Manager Reviews

We have no reviews of AWS Certificate Manager yet.
Be the first one to post

Social recommendations and mentions

AWS Certificate Manager might be a bit more popular than Databricks. We know about 24 links to it since March 2021 and only 18 links to Databricks. 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.

Databricks mentions (18)

  • Platform Engineering Abstraction: How to Scale IaC for Enterprise
    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 / 8 months ago
  • 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 2 years 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 / over 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 / almost 3 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 3 years ago
View more

AWS Certificate Manager mentions (24)

View more

What are some alternatives?

When comparing Databricks and AWS Certificate Manager, you can also consider the following products

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

Google Authenticator - Google Authenticator is a multifactor app for mobile devices.

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.

Authy - Best rated Two-Factor Authentication smartphone app for consumers, simplest 2fa Rest API for developers and a strong authentication platform for the enterprise.

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.

Azure Multi-Factor Authentication - Azure Multi-Factor Authentication helps safeguard access to data and applications while meeting user demand for a simple sign-in process.