Software Alternatives, Accelerators & Startups

Databricks VS NinjaOne

Compare Databricks VS NinjaOne 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?

NinjaOne logo NinjaOne

NinjaOne (Formerly NinjaRMM) provides remote monitoring and management software that combines powerful functionality with a fast, modern UI. Easily remediate IT issues, automate common tasks, and support end-users with powerful IT management tools.
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  • Databricks Landing page
    Landing page //
    2023-09-14
  • NinjaOne
    Image date //
    2024-02-01

NinjaOne automates the hardest parts of IT, empowering more than 17,000 IT teams with visibility, security, and control over all endpoints. The NinjaOne platform increases productivity while reducing risk and IT costs. Organizations use NinjaOne, including its wide range of IT and security integrations, for use cases including endpoint management, patch management, mobile device management, software deployment, remote access, endpoint backup, and more.

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.

NinjaOne features and specs

  • Self Service Portal
  • Audit, Analysis and Compliance
  • User Activity Monitoring
  • Software Inventory
  • Internet Usage Monitoring
  • IP Address Monitoring
  • Bandwidth Monitoring
  • Network Diagnosis
  • Vulnerability Scanners
  • Data Loss Prevention
  • Multi-Patch Deployments
  • Unified Threat Management (UTM)
  • Ransomware Protection
  • Intrusion Detection and Prevention (IDS/IPS)
  • Endpoint Detection and Response
  • Breach Detection
  • Advanced Threat Protection

Analysis of NinjaOne

Overall verdict

  • Yes, NinjaOne is considered a reliable IT management solution.

Why this product is good

  • NinjaOne offers a comprehensive suite of tools for remote monitoring and management (RMM), patch management, endpoint management, and more. Users appreciate its user-friendly interface, responsive support, and efficient automation features that help streamline IT operations.

Recommended for

  • IT professionals looking for a robust RMM solution
  • Managed Service Providers (MSPs) needing efficient client management tools
  • Businesses seeking to streamline IT operations with automation
  • Organizations requiring reliable endpoint and patch management

Databricks videos

Introduction to Databricks

More videos:

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

NinjaOne videos

NinjaRMM Live Setup

More videos:

  • Review - NinjaRMM Tech Talk
  • Demo - NinjaOne Backup
  • Review - TechnologyAdvice: NinjaOne Review - Top Features, Pros & Cons, and Alternatives
  • Demo - NinjaOne | Spend more time on the important things
  • Review - NinjaOne RMM Review

Category Popularity

0-100% (relative to Databricks and NinjaOne)
Data Dashboard
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
Big Data Analytics
100 100%
0% 0
IT Management
0 0%
100% 100

Questions and Answers

As answered by people managing Databricks and NinjaOne.

How would you describe your primary audience?

NinjaOne's answer:

NinjaOne customers include MSPs and internal IT organizations of all sizes.

What makes your product unique?

NinjaOne's answer:

NinjaOne is a cloud-native unified IT management platform tailored for IT organizations and MSPs. It offers comprehensive monitoring, management, patching and security for a diverse range of endpoints — including Windows, macOS, Linux, VMs, and SNMP — all consolidated within a singular intuitive dashboard.

Its robust automation features empower technicians to offload routine, time-intensive tasks, redirecting their attention to strategic endeavors. Designed for proactive daily management, NinjaOne boasts a user-friendly interface, ensuring a smooth set-up and operation. With complimentary unlimited onboarding, training, and support, we're committed to maximizing the ROI for our customers' NinjaOne investments.

Why should a person choose your product over its competitors?

NinjaOne's answer:

NinjaOne equips MSP and IT teams with a unified hub for overseeing, patching, and supporting all their endpoints. Leveraging our integrated solution and policy-driven management, we introduce a remarkable degree of automation into standard IT workflows, enabling technicians to channel their expertise into intricate tasks and innovative problem-solving.

Tailored for the modern, distributed workforce, NinjaOne's cloud-native platform allows technicians to manage any internet-connected endpoint from any location, eliminating the need for any infrastructure. This not only trims management costs but also simplifies the process. The platform's agile and user-friendly interface further amplifies efficiency, making IT operations seamless for teams.

What's the story behind your product?

NinjaOne's answer:

NinjaOne is dedicated to building top-tier, scalable, and user-friendly IT management solutions that empower MSPs and IT experts to ensure business continuity and enhance profitability. With a user experience intricately designed from inception, we aim to minimize onboarding costs and optimize automation, offering a cutting-edge, proactive IT management journey. Presently, over 13,000 MSPs and IT entities worldwide trust NinjaOne to oversee, update, and secure more than 5 million endpoints.

Which are the primary technologies used for building your product?

NinjaOne's answer:

NinjaOne is a cloud-native unified IT management platform. Key technologies include monitoring & alerting, patch management, software deployment, scripting & automation, remote control, backup, ticketing, documentation, next generation antivirus (NGAV) and endpoint detection and response (EDR). Additionally, NinjaOne seamlessly integrates with numerous popular solutions, further enhancing our customers' workflow efficiency.

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Databricks and NinjaOne

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.

NinjaOne Reviews

12 Best Asset Management Software For IT Teams In 2023
Why I picked NinjaOne: I like how the tool offers a complete toolkit for small IT teams and IT managers to manage, monitor, secure, and improve servers, network devices, laptops, and workstations. I think the best part of the platform is just how easy it is to use even if you have a wide variety of clients or IT to manage.
Source: thectoclub.com
10 Best RMM Software | Remote Monitoring & Management Tools 2021
NinjaRMM Pricing: NinjaRMM offers a free trial of their product. Ninja is priced on a per-device basis based on the features needed.
12 Best RMM Software and Tools for 2021
NinjaRMM is an excellent RMM solution with real-time monitoring for Windows and Mac computers. NinjaRMM offers users the ability to automate patches to remote networks. The software supports over 120 applications including Java and Dropbox. Patching these popular services allows you to minimize the vulnerabilities your users face.
8 Best RMM Software and Tools
NinjaRMM’s monitoring agent can be installed on Windows and Mac computers and provides endpoint data including, processing, memory, utilization, network, logs, etc. Additionally, NinjaRMM’s automation capabilities allow managers to check the entire infrastructure, install patches, etc.
Source: www.pcwdld.com
Best helpdesk software of 2020: for ticketing and support
NinjaRMM is a cloud-based help desk solution that allows you to monitor everything in real-time. The GUI is simple and easy to use, which can make the learning curve in setting up, using, and customizing short and sweet. The developers are also proactively adding additional features, not least to increase the number of available integrations and improving the available toolkit.

Social recommendations and mentions

Based on our record, Databricks seems to be more popular. 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.

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 / almost 3 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

NinjaOne mentions (0)

We have not tracked any mentions of NinjaOne yet. Tracking of NinjaOne recommendations started around Mar 2021.

What are some alternatives?

When comparing Databricks and NinjaOne, you can also consider the following products

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

Atera - Atera is reinventing the world of IT by harnessing AI to power our all-in-one Remote Monitoring and Management (RMM), Helpdesk, Ticketing, and automations platform—streamlining organizational IT management at scale with our proprietary Action AI™.

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.

ConnectWise Automate - Solve IT Problems with ConnectWise Automate, Remote Monitoring and Remote Management Software. Visit to boost the effectiveness of your IT teams.‎Try ConnectWise Automate .

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.

Microsoft Operations Management Suite - Microsoft Operations Management Suite enables user to gain visibility and control across the hybrid cloud with simplified operations management and security