AWS Glue is a managed extract, transform, and load (ETL) service designed to make it easy for customers to prepare and load data for analytics. With it, users can create and run an ETL job in the AWS Management Console. Users point AWS Glue to data stored on AWS, and AWS Glue discovers data and stores the associated metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once cataloged, data is immediately searchable, queryable, and available for ETL.
$0.44
billed per second, 1 minute minimum
Varonis Data Security Platform
Score 8.8 out of 10
N/A
Varonis offers their Data Security Platform, a modular suite of data acess and data security products providing sensitive data discovery, data access governance, unusual behavior detection, GDPR compliance support, as well as incident playbooks and cybersecurity forensic reporting.
One of AWS Glue's most notable features that aid in the creation and transformation of data is its data catalog. Support, scheduling, and the automation of the data schema recognition make it superior to its competitors aside from that. It also integrates perfectly with other AWS tools. The main restriction may be integrated with systems outside of the AWS environment. It functions flawlessly with the current AWS services but not with other goods. Another potential restriction that comes to mind is that glue operates on a spark, which means the engineer needs to be conversant in the language.
The most highlighted feature of Varonis Data Security Platform is the data analyzing mechanism. It analyzes your data all the time with some special algorithms to detect any unusual activities so that it can identify any unusual behavior or users and take necessary action to save your sensitive data. They also offer a complete dashboard solution for their customers to control across different data stores, see their current state, and any security breaches to be addressed manually.
It is extremely fast, easy, and self-intuitive. Though it is a suite of services, it requires pretty less time to get control over it.
As it is a managed service, one need not take care of a lot of underlying details. The identification of data schema, code generation, customization, and orchestration of the different job components allows the developers to focus on the core business problem without worrying about infrastructure issues.
It is a pay-as-you-go service. So, there is no need to provide any capacity in advance. So, it makes scheduling much easier.
Varonis logging is very robust and captures all audit events being sent from the file servers.
The ability to report and alert on Active Directory account events works very well with file activity monitoring. It can show the complete picture of what an account did while being used.
Have a customizable dashboard is great for being able to show upper management information that only pertains to them.
While easy to set up and manage monitoring for large datasets, its complexity can be a barrier for new users. Integration with AWS Ecosystem, Managed Monitoring, Dashboards and monitoring tools for AWS Glue are generally easy to set up and maintain, Automated Data Pipelines. Automates data pipeline creation, making it efficient for certain data integration
Because the tool delivers on its promises and forces us to explore each functionality. Using the tool leads us to seek more knowledge and apply it to our environment, mitigating risks, reducing the attack surface, increasing the team's technical knowledge, and boosting team growth. It also demonstrates to senior management that the tool is extremely necessary for the environment.
Amazon responds in good time once the ticket has been generated but needs to generate tickets frequent because very few sample codes are available, and it's not cover all the scenarios.
Support has always been very responsive and addressed any issues we may have had in the past. Some local engineers are willing to come onsite or work over a web session to discuss creating a new rule set or look at some issues. Getting issues address has never been a problem. There was one feature we had trouble getting to function correctly, but support and local engineers were willing to work with us as much as needed to get it working correctly for our organization.
AWS Glue is a fully managed ETL service that automates many ETL tasks, making it easier to set AWS Glue simplifies ETL through a visual interface and automated code generation.
Actually, we didn't expend much time evaluating other file auditing platforms. We chose Varonis just after a serious incident and we had already heard about Varonis at a Netapp event. So it was an easy choice. We called Varonis and asked them for a PoC, that's it. The PoC became a production and it is running until this day.
We are using GLUE for our ETL purpose. it’s ease with other our AWS services makes our ROI, 100% ROI.
One missing piece was compatibility with other data source for which we found a work around and made our data source as S3 only, so our dependencies on other data source is also reducing
