Software Alternatives, Accelerators & Startups

Datacoves VS AWS Glue

Compare Datacoves VS AWS Glue and see what are their differences

Datacoves logo Datacoves

Managed dbt-core, VS Code in the browser, and Managed Airflow

AWS Glue logo AWS Glue

Fully managed extract, transform, and load (ETL) service
  • Datacoves Landing page
    Landing page //
    2023-05-17

Datacoves is a DataOps platform with managed VSCode for dbt Core development and managed Airflow. Datacoves is made for the enterprise and we help you implement data management best practices without compromising data security.

  • AWS Glue Landing page
    Landing page //
    2022-01-29

Datacoves

$ Details
paid Free Trial
Platforms
Dbt Airflow Snowflake Databricks
Release Date
2021 August

AWS Glue

$ Details
-
Platforms
-
Release Date
-

Datacoves features and specs

  • Data Extract and Load: Airbyte, Fivetran, Python
  • dbt Development: VS Code, Sqlfluff, dbt-checkpoint, data preview, etc
  • Documentation: Hosted dbt docs for Development and Production
  • Orchestration: Hosted Airflow on Kubernetes
  • DataOps: Github, Gitlab, Bitbucket, Jenkins
  • BI: Superset, Tableau, PowerBI, Qlik, Looker
  • Hosting Options: SaaS or Private Cloud deployment

AWS Glue features and specs

No features have been listed yet.

Datacoves videos

Demo and Interview by Demohub

More videos:

  • Review - Query Preview in Datacoves

AWS Glue videos

Build ETL Processes for Data Lakes with AWS Glue - AWS Online Tech Talks

More videos:

  • Review - AWS re:Invent BDT 201: AWS Data Pipeline: A guided tour
  • Review - Getting Started with AWS Glue Data Catalog
  • Review - Bajaj Housing Finance Limited: Serverless Data Pipelines with AWS Glue and Amazon Aurora PGSQL

Category Popularity

0-100% (relative to Datacoves and AWS Glue)
Data Integration
8 8%
92% 92
ETL
3 3%
97% 97
Web Service Automation
15 15%
85% 85
DataOps
100 100%
0% 0

Questions and Answers

As answered by people managing Datacoves and AWS Glue.

What makes your product unique?

Datacoves's answer

We provide the flexibility and integration most companies need. We help you connect EL to T and Activation, we don't just handle the transformation and we guide you to do things right from the start so that you can scale in the future. Finally we offer both a SaaS and private cloud deployment options.

Why should a person choose your product over its competitors?

Datacoves's answer

Do you need to connect Extract and Load to Transform and downstream processes like Activation? Do you love using VS Code and need the flexibility to have any Python library or VS Code extension available to you? Do you want to focus on data and not worry about infrastructure? Do you have sensitive data and need to deploy within your private cloud and integrate with existing tools? If you answered yes to any of these questions, then you need Datacoves.

How would you describe your primary audience?

Datacoves's answer

Mid to Large size companies who value doing things well.

What's the story behind your product?

Datacoves's answer

Our founders have decades of experience in software development and implementing data platforms at large enterprises. We wanted to cut through all the noise and enable any team to deploy an end-to-end data management platform with best practices from the start. We believe that having an opinion matters and helping companies understand the pros and cons of different decisions will help them start off on the right path. Technology alone doesn't transform organizations.

Who are some of the biggest customers of your product?

Datacoves's answer

  • Johnson & Johnson
  • Janssen
  • Kenvue
  • Orrum

User comments

Share your experience with using Datacoves and AWS Glue. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Datacoves and AWS Glue

Datacoves Reviews

  1. All the data tools you need to run a world class team in one place

    I manage analytics for a small SaaS company. Datacoves unlocked my ability to do everything from raw data to dashboarding all without me having to wrangle multiple contracts or set up an on-prem solution. I get to use the top open source tools out there without the headache and overhead of managing it myself. And their support is excellent when I run into any questions.

    Cannot recommend highly enough for anyone looking to get their data tooling solved with a fraction of the effort of doing it themselves.

    🏁 Competitors: Keboola
    👍 Pros:    Quick and easy implementation|Scalable|Easy to use
    👎 Cons:    Small company
  2. Best-in-class open-source tools for the modern datastack, seamlessly integrated

    The most difficult part of any data stack is to establish a strong development foundation to build upon. Most small data teams simply cannot afford to do so and later pay the penalty when trying to scale with a spaghetti of processes, custom code, and no documentation. Datacoves made all the right choices in combining best-in-class tools surrounding dbt, tied together with strong devops practices so that you can trust in your process whether you are a team of one or a hundred and one.

    👍 Pros:    Powerful development environments|Seamless|Great customer support

AWS Glue Reviews

10 Best ETL Tools (October 2023)
AWS Glue is an end-to-end ETL offering intended to make ETL workloads easier and more integratable with the larger AWS ecosystem. One of the more unique aspects of the tool is that it is serverless, meaning Amazon automatically provisions a server and shuts it down following the completion of the workload.
Source: www.unite.ai
Top 14 ETL Tools for 2023
Notably, AWS Glue is serverless, which means that Amazon automatically provisions a server for users and shuts it down when the workload is complete. AWS Glue also includes features such as job scheduling and “developer endpoints” for testing AWS Glue scripts, improving the tool’s ease of use.
A List of The 16 Best ETL Tools And Why To Choose Them
Better yet, when interacting with AWS Glue, practitioners can choose between a drag-and-down GUI, a Jupyter notebook, or Python/Scala code. AWS Glue also offers support for various data processing and workloads that meet different business needs, including ETL, ELT, batch, and streaming.
Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
The AWS Glue Data Catalog contains table and job definitions, and other control information. It automatically generates statistics and registers partitions, so data queries can run more efficiently. The catalog also supports an extended history for schema versions, allowing you to see how data has changed over time.
Source: visual-flow.com
Top 5 AWS Glue Alternatives: Best ETL Tools
AWS Glue performs data processing functions like Data Extraction, Data Transformation, and Data Loading to organize enterprise data. This is helpful for organizations that manage large amounts of data. AWS Glue is specifically designed for companies that execute ETL jobs on a serverless platform based on Apache Spark.
Source: hevodata.com

Social recommendations and mentions

Based on our record, AWS Glue should be more popular than Datacoves. It has been mentiond 13 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.

Datacoves mentions (2)

  • What are your thoughts on dbt Cloud vs other managed dbt Core platforms?
    Dbt Cloud rightfully gets a lot of credit for creating dbt Core and for being the first managed dbt Core platform, but there are several entrants in the market; from those who just run dbt jobs like Fivetran to platforms that offer more like EL + T like Mozart Data and Datacoves which also has hosted VS Code editor for dbt development and Airflow. Source: 12 months ago
  • dbt Core + Azure Data Factory
    Check out datacoves.com more flexibility. Source: about 1 year ago

AWS Glue mentions (13)

  • Build Your Movie Recommendation System Using Amazon Personalize, MongoDB Atlas, and AWS Glue
    AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load data for analysis. It helps bridge the gap between our MongoDB Atlas data and the services we'll use for recommendation. - Source: dev.to / 3 months ago
  • Using Snowflake data hosted in GCP with AWS Glue
    AWS Glue is a fully managed extract, transform, and load (ETL) service provided by Amazon Web Services (AWS). It is designed to make it easy for users to prepare and load their data for analysis. AWS Glue simplifies the process of building and managing ETL workflows by providing a serverless environment for running ETL jobs. - Source: dev.to / 4 months ago
  • How to check for quality? Evaluate data with AWS Glue Data Quality
    It is serverless data integration service to allow you to easily scale your workloads in preparing data and moving transformed data into a target location. - Source: dev.to / 11 months ago
  • Deploying a Data Warehouse with Pulumi and Amazon Redshift
    So in the next post, we'll do that: We'll take what we've done here, add a few more components with Pulumi and AWS Glue, and wire it all up with a few magical lines of Python scripting. - Source: dev.to / over 1 year ago
  • Serverless Event Driven AI as a Service
    Once it's in a Data Lake then you have different options depending on the analytics you need. For more advanced constant analytics then you could look into Amazon Kinesis Data Analytics instead of Firehose to S3, but for Ad-Hoc queries then this is where Glue and Athena come in. - Source: dev.to / over 1 year ago
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What are some alternatives?

When comparing Datacoves and AWS Glue, you can also consider the following products

dbt - dbt is a data transformation tool that enables data analysts and engineers to transform, test and document data in the cloud data warehouse.

AWS Database Migration Service - AWS Database Migration Service allows you to migrate to AWS quickly and securely. Learn more about the benefits and the key use cases.

CData Sync - Straightforward data synchronizing between on-premise and cloud data sources with a wide range of traditional and emerging databases.

Xplenty - Xplenty is the #1 SecurETL - allowing you to build low-code data pipelines on the most secure and flexible data transformation platform. No longer worry about manual data transformations. Start your free 14-day trial now.

Domo - Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.

Skyvia - Free cloud data platform for data integration, backup & management