Software Alternatives, Accelerators & Startups

Google BigQuery VS ConnectWise Automate

Compare Google BigQuery VS ConnectWise Automate 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.

Google BigQuery logo Google BigQuery

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

ConnectWise Automate logo 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 .
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • ConnectWise Automate Landing page
    Landing page //
    2023-05-12

Google BigQuery features and specs

  • Scalability
    BigQuery can effortlessly scale to handle large volumes of data due to its serverless architecture, thereby reducing the operational overhead of managing infrastructure.
  • Speed
    It leverages Google's infrastructure to provide high-speed data processing, making it possible to run complex queries on massive datasets in a matter of seconds.
  • Integrations
    BigQuery easily integrates with various Google Cloud Platform services, as well as other popular data tools like Looker, Tableau, and Power BI.
  • Automatic Optimization
    Features like automatic data partitioning and clustering help to optimize query performance without requiring manual tuning.
  • Security
    BigQuery provides robust security features including IAM roles, customer-managed encryption keys, and detailed audit logging.
  • Cost Efficiency
    The pricing model is based on the amount of data processed, which can be cost-effective for many use cases when compared to traditional data warehouses.
  • Managed Service
    Being fully managed, BigQuery takes care of database administration tasks such as scaling, backups, and patch management, allowing users to focus on their data and queries.

Possible disadvantages of Google BigQuery

  • Cost Predictability
    While the pay-per-use model can be cost-efficient, it can also make cost forecasting difficult. Unexpected large queries could lead to higher-than-anticipated costs.
  • Complexity
    The learning curve can be steep for those who are not already familiar with SQL or Google Cloud Platform, potentially requiring training and education.
  • Limited Updates
    BigQuery is optimized for read-heavy operations, and it can be less efficient for scenarios that require frequent updates or deletions of data.
  • Query Pricing
    Costs are based on the amount of data processed by each query, which may not be suitable for use cases that require frequent analysis of large datasets.
  • Data Transfer Costs
    While internal data movement within Google Cloud can be cost-effective, transferring data to or from other services or on-premises systems can incur additional costs.
  • Dependency on Google Cloud
    Organizations heavily invested in multi-cloud or hybrid-cloud strategies may find the dependency on Google Cloud limiting.
  • Cold Data Performance
    Query performance might be slower for so-called 'cold data,' or data that has not been queried recently, affecting the responsiveness for some workloads.

ConnectWise Automate features and specs

  • Robust Automation
    ConnectWise Automate offers extensive automation capabilities, allowing IT teams to automate repetitive tasks and manage complex workflows efficiently.
  • Comprehensive Monitoring
    The platform provides advanced monitoring tools that help in identifying and resolving issues proactively, improving system reliability and performance.
  • Scalability
    ConnectWise Automate is highly scalable, making it suitable for businesses of all sizes, from small enterprises to large corporations.
  • Integrations
    It integrates seamlessly with other ConnectWise products and a wide range of third-party applications, offering a cohesive IT management experience.
  • Customizability
    The platform offers a high degree of customization, allowing IT teams to tailor the system to meet their specific needs and workflows.

Possible disadvantages of ConnectWise Automate

  • Complexity
    Due to its extensive feature set, ConnectWise Automate can have a steep learning curve, requiring significant time and effort to master.
  • Cost
    The platform can be expensive, particularly for smaller businesses or those with limited budgets, potentially making it a less viable option.
  • Performance Issues
    Some users have reported slow performance and occasional glitches, which can be frustrating when managing critical IT tasks.
  • Support
    While ConnectWise offers support, some users have found the quality and responsiveness of their support services to be lacking.
  • Initial Setup
    The initial setup and configuration process can be time-consuming and complex, requiring considerable technical expertise.

Google BigQuery videos

Cloud Dataprep Tutorial - Getting Started 101

More videos:

  • Review - Advanced Data Cleanup Techniques using Cloud Dataprep (Cloud Next '19)
  • Demo - Google Cloud Dataprep Premium product demo

ConnectWise Automate videos

Webinar Recording: What's new in ConnectWise Automate 12

More videos:

  • Review - ConnectWise Automate: A really great product

Category Popularity

0-100% (relative to Google BigQuery and ConnectWise Automate)
Data Dashboard
100 100%
0% 0
IT Management
0 0%
100% 100
Big Data
100 100%
0% 0
Monitoring Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Google BigQuery and ConnectWise Automate

Google BigQuery Reviews

Data Warehouse Tools
Google BigQuery: Similar to Snowflake, BigQuery offers a pay-per-use model with separate charges for storage and queries. Storage costs start around $0.01 per GB per month, while on-demand queries are billed at $5 per TB processed.
Source: peliqan.io
Top 6 Cloud Data Warehouses in 2023
You can also use BigQuery’s columnar and ANSI SQL databases to analyze petabytes of data at a fast speed. Its capabilities extend enough to accommodate spatial analysis using SQL and BigQuery GIS. Also, you can quickly create and run machine learning (ML) models on semi or large-scale structured data using simple SQL and BigQuery ML. Also, enjoy a real-time interactive...
Source: geekflare.com
Top 5 Cloud Data Warehouses in 2023
Google BigQuery is an incredible platform for enterprises that want to run complex analytical queries or “heavy” queries that operate using a large set of data. This means it’s not ideal for running queries that are doing simple filtering or aggregation. So if your cloud data warehousing needs lightning-fast performance on a big set of data, Google BigQuery might be a great...
Top 5 BigQuery Alternatives: A Challenge of Complexity
BigQuery's emergence as an attractive analytics and data warehouse platform was a significant win, helping to drive a 45% increase in Google Cloud revenue in the last quarter. The company plans to maintain this momentum by focusing on a multi-cloud future where BigQuery advances the cause of democratized analytics.
Source: blog.panoply.io
16 Top Big Data Analytics Tools You Should Know About
Google BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a Platform as a Service that supports querying using ANSI SQL. It also has built-in machine learning capabilities.

ConnectWise Automate Reviews

10 Best RMM Software | Remote Monitoring & Management Tools 2021
ConnectWise Automate is a rich features platform and is available for small to medium-sized businesses. Most of the companies have not provided the prices for their RMM solution. However, it could be $700 and above for one-time fees. For the subscription-based model, it could be in the range of $50 to $200 per technician per month.
12 Best RMM Software and Tools for 2021
ConnectWise Automate is a top RMM tool because it provides MSPs with a centralized console to manage their client’s entire IT asset inventory. Everything from autodiscovery to the patch management process is built to help the user monitor a remote network as easily as possible. That includes physical devices and virtual services.
8 Best RMM Software and Tools
ConnectWise develops IT management software tailored for Technology Solution Providers (TSP). Along with their strong product portfolio, they include ConnectWise Automate which is an RMM platform with a strong focus on automation. ConnectWise Automate RMM can proactively monitor and manage endpoints in large-scale networks. The software can auto-discover assets, schedule...
Source: www.pcwdld.com
Top IT Management Software 2021
As a large organization, you have a ton of devices on your network and need to be able to get to them all in case of an incident. Connectwise Automate offers quick access to all of the endpoints on your network, so you can resolve issues quickly and keep any downtime to a minimum. The system even automatically scans the network to detect all devices and make sure every entry...
15 Best IT Monitoring Tools and Software
ConnectWise Automate (previously LabTech) is an RMM product that automates all stages of the monitoring process, from discovery to patching.
Source: blog.inedo.com

Social recommendations and mentions

Based on our record, Google BigQuery seems to be more popular. It has been mentiond 42 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.

Google BigQuery mentions (42)

  • Every Database Will Support Iceberg — Here's Why
    This isn’t hypothetical. It’s already happening. Snowflake supports reading and writing Iceberg. Databricks added Iceberg interoperability via Unity Catalog. Redshift and BigQuery are working toward it. - Source: dev.to / 29 days ago
  • RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing
    Many of these companies first tried achieving real-time results with batch systems like Snowflake or BigQuery. But they quickly found that even five-minute batch intervals weren't fast enough for today's event-driven needs. They turn to RisingWave for its simplicity, low operational burden, and easy integration with their existing PostgreSQL-based infrastructure. - Source: dev.to / about 1 month ago
  • How to Pitch Your Boss to Adopt Apache Iceberg?
    If your team is managing large volumes of historical data using platforms like Snowflake, Amazon Redshift, or Google BigQuery, you’ve probably noticed a shift happening in the data engineering world. A new generation of data infrastructure is forming — one that prioritizes openness, interoperability, and cost-efficiency. At the center of that shift is Apache Iceberg. - Source: dev.to / about 1 month ago
  • Study Notes 2.2.7: Managing Schedules and Backfills with BigQuery in Kestra
    BigQuery Documentation: Google Cloud BigQuery. - Source: dev.to / 4 months ago
  • Docker vs. Kubernetes: Which Is Right for Your DevOps Pipeline?
    Pro Tip: Use Kubernetes operators to extend its functionality for specific cloud services like AWS RDS or GCP BigQuery. - Source: dev.to / 6 months ago
View more

ConnectWise Automate mentions (0)

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

What are some alternatives?

When comparing Google BigQuery and ConnectWise Automate, you can also consider the following products

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

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.

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.

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

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.

Intercom - Intercom is a customer relationship management and messaging tool for web businesses. Build relationships with users to create loyal customers.