Software Alternatives & Reviews

Datadog VS Databricks

Compare Datadog VS Databricks and see what are their differences

Datadog logo Datadog

See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
  • Datadog Landing page
    Landing page //
    2023-10-05

Datadog is a monitoring and analytics platform for cloud-scale application infrastructure. Combining metrics from servers, databases, and applications, Datadog delivers sophisticated, actionable alerts, and provides real-time visibility of your entire infrastructure. Datadog includes 100+ vendor-supported, prebuilt integrations and monitors hundreds of thousands of hosts.

  • Databricks Landing page
    Landing page //
    2023-09-14

Datadog

Categories
  • Monitoring Tools
  • Log Management
  • Error Tracking
  • Exception Monitoring
  • Bug Trackers
  • Crash Reporting
  • Testing
Website datadoghq.com
Pricing URL Official Datadog Pricing
Details $freemium $15.0 / Monthly (per host)
Platforms
Browser REST API

Databricks

Categories
  • Data Science
  • Data Dashboard
  • Database Tools
  • Big Data Analytics
Website databricks.com
Pricing URL Official Databricks Pricing
Details $
Platforms
-

Datadog videos

Datadog Review & Walkthrough

More videos:

  • Review - DataDog: What it is and where its going
  • Review - Datadog: 2-Minute Tour

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 Datadog and Databricks)
Monitoring Tools
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Log Management
100 100%
0% 0
Database Tools
0 0%
100% 100

User comments

Share your experience with using Datadog 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 Datadog and Databricks

Datadog Reviews

5 Best DevSecOps Tools in 2023
There are many platforms that can be utilized for monitoring and alerting. Some examples are New Relic, Datadog, AWS CloudWatch, Sentry, Dynatrace, and others. Again, these providers each have pros and cons related to pricing, offering, ad vendor lock-in. So research the options to see what may possibly be best for a given situation.
Best API Monitoring and Observability Tools in 2023
Datadog’s API monitoring lets you automate site availability monitoring and reduce average time it takes to get to the cause. It also allows you to validate all the layers of your systems (from HTTP to DNS) from multiple geolocations, letting you focus on areas that are vital to your business by creating custom locations.
Source: apitoolkit.io
Top 48+ Best Website Monitoring Software
Create drag-and-drop dashboards to graph, analyze, correlate, and compare performance metrics and events. Cloud Monitoring as a Service | Datadog. See metrics from all of your apps, tools & services in one place with Datadog’s cloud monitoring as a service solution. Try it for free.
Top 11 Best SIEM Tools in 2022 For Real-Time Incident Response and Security
Datadog Security Monitoring unifies the developers, operations, and security teams into one platform. A single dashboard displays devops content, business metrics, and security content. Detect threats in real-time and investigate security alerts across your infrastructure metrics, distributed traces, and logs.
#10 Best Website Monitoring Tools [2022]
DATADOG is one of the best website monitoring tools with tons of features and services. It provides instant performance insights like loading speed, uptime logs, possible threats, etc. DATADOG offers both Real User Monitoring and Synthetic Monitoring for better monitoring and analysis. Let’s go through the unique website monitoring features offered by DATADOG.

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 Datadog. 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.

Datadog mentions (5)

  • Send the logs of your Shuttle-powered backend to Datadog
    Ideally, if we had access to the underlying infrastructure, we could probably install the Datadog Agent and configure it to send our logs directly to Datadog, or even use AWS Lambda functions or Azure Event Hub + Azure Functions in case we were facing some specific cloud scenarios. - Source: dev.to / 7 months ago
  • I wanted a self hosted alternative to Atlassian status page so I build my own application !
    Currently supported : Datadog, Jenkins, DNS, HTTP. Source: over 1 year ago
  • Datadog on Kubernetes: Avoiding Common Pitfalls
    Datadog is a powerful monitoring and security platform that gives you visibility into end-to-end traces, application metrics, logs, and infrastructure. While Datadog has great documentation on their Kubernetes integration, we've observed that there's some missed nuance that leads to common pitfalls. - Source: dev.to / almost 3 years ago
  • Post-DockerCon spam
    .. Is to see you email address being silently distributed to every single company that I've watched a talk from. And now suddenly get several promotional spam emails per day from some 4-5 different domains like instana.com, datadoghq.com, snyk.io, cockroachlabs.com (some of them send even multiple emails per day!). Source: almost 3 years ago
  • Never write a UserService again
    We're commonly doing this with logging, using services such as Loggly or DataDog. We're using managed databases, be it on AWS, Heroku or database-vendor-specific solutions. We're storing binaries on S3. Externalising user authentication and authorization might be a good candidate as well. - Source: dev.to / 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 / over 1 year 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 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 / almost 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 Datadog and Databricks, you can also consider the following products

Zabbix - Track, record, alert and visualize performance and availability of IT resources

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

Dynatrace - Cloud-based quality testing, performance monitoring and analytics for mobile apps and websites. Get started with Keynote today!

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.

NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.

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.