AWS Glue vs AWS Data Pipeline vs Skyvia

AWS Glue and AWS Data Pipeline both offer a data integration solution. Compare the features and benefits, data sources and destinations, and see which meets your needs. Look at the side-by-side comparison chart of the two data integration solutions.

Look at the side-by-side comparison chart

AWS Glue

vs

AWS Data Pipeline

vs

Skyvia

About the Services

AWS Glue

AWS Glue is a serverless data integration tool from Amazon. It helps you extract data from other cloud services offered by Amazon Web Services (AWS). Then, incorporate it into data lakes and data warehouses. It offers a cost-efficient way to process data for good use in analytics and machine learning. AWS Glue provides a performance-optimized infrastructure for running Apache Spark for data integration. It supports batch and stream processing. And it speeds up data ingestion, processing, and integration.

AWS Glue covers various data integration scenarios. This includes ETL, ELT, reverse ETL, data ingestion, and replication.

AWS Glue encrypts all customer data at rest using industry-standard encryption algorithms. AWS Glue also provides customers with fine-grained access control over their metadata. It is compliant with various security standards such as SOC 1/2/3, PCI DSS Level 1, and HIPAA Eligible Service.

AWS Data Pipeline

AWS Data Pipeline is a cloud-based data integration service from Amazon. It works well with cloud and on-premise data sources. Amazon launched it in 2012. And since then, it helped thousands of customers move and process data.

But unlike AWS Glue, Data Pipeline is not serverless. It requires an Amazon EC2 instance to perform processing.

AWS Data Pipeline has a web interface to define your data processing workflows. And it requires no coding knowledge. In one place, you can schedule, automate, and track your data workflows. It’s more of a fill-in-the-blanks rather than drag-and-drop.

AWS Data Pipeline is like any other AWS service when it comes to security and privacy. It’s HIPAA eligible and has various certifications, including SOC 1 and PCI DSS. Rest assured that your data is in safe hands.

Skyvia

Skyvia is a no-code cloud data integration platform for many data integration scenarios. It’s an all-rounder tool for ETL, ELT, Reverse ETL, data migration, one-way and bi-directional data sync, workflow automation, and more. Devart launched this fantastic product in 2014 for cloud data integration and backup.

Skyvia offers more than 180 ready-made data connectors. These are available for thousands of free users, including 2000+ paid customers. Big names like Hyundai and General Electric trust Skyvia to process their data. Its easy-to-use, drag-and-drop interface suits both IT professionals and business users. And don’t take our word for it. Listen to G2 reviewers about how easy it is to start and work with it. Data integration experts who used other tools can adapt with little to no help from support.

Skyvia has flexible pricing plans perfect for small startups and large enterprises. So, it makes it applicable to businesses of all sizes. Also, Skyvia’s freemium model allows users to start using it now and then decide if they need to upgrade later.

The safety of your data is also our prime concern. So, we hosted it in Microsoft Azure cloud, providing the best data security and privacy. It complies with a wide set of security standards, including SOC 2, ISO 27001, and many others.

AWS GlueAWS Data PipelineSkyvia
FocusETL, ELT, Reverse ETL, streaming.ETLData ingestion, ELT, ETL, reverse ETL, data sync, workflow automation.
Skill levelLow-code, no-code solutions
Or, coding in Python or Scala on complex scenarios.
Low code, no-code solutions.
Coding in various languages.
No-code wizard. Top-rated as one of the easiest ETL tools by G2.
SourcesJDBC-compatible connectors and Amazon ecosystem connectors.JDBC-compatible connectors and Amazon ecosystem connectors.180+
DestinationsSupported data sources.Supported data sources.Supported data sources, including databases, data warehouses, cloud apps and flat files.
Database replicationFull and incremental load.Full or incremental load.Full table and incremental via change data capture.
Ability for customers to add new data sourcesAPI for creating custom connectors.Through AWS SDKs.Ye s, by request or using REST API connector.
G2 customer satisfaction4.2 out of 5
94 reviews
4.1 out of 5
24 reviews
4.8 out of 5
217 Reviews
Peer Insights satisfaction4.2
173 Ratings
4.7
1 Ratings
4.8
103 Ratings
Developer toolsAWS Glue Studio, Console, CLI, and API.AWS Data Pipeline CLI.
AWS Management Console.
REST connector for data sources that have REST API.
Advanced ETL capabilitiesJob bookmarking, parallel execution.AWS SDKs.
Query API.
Visual ETL data pipeline designer with data orchestration capabilities.
Compliance and security certificationsSOC 1/2/3, HIPAA, GDPR, ISO 27001, 27017, and 27018, PCI DSS.SOC 1/2/3, HIPAA, GDPR
ISO 27001, 27017, and 27018
PCI DSS
HIPAA, GDPR, PCI DSS.
ISO 27001 and SOC 2 (by Azure).
Purchase processUse the free trial or talk to sales.Use the free trial and talk to sales.Self-service or sales.
Vendor lock-inPay-as-you-go.
No minimum contract term.
Pay-as-you-go.
No minimum contract term.
Monthly or annual contracts.
PricingPay-as-you-go.
No minimum contract term.
Based on frequencies of preconditions and activities.
With 12 months of free tier.
Volume-based and feature-based pricing. Freemium model allows to start with a free plan.

Connectors

AWS Glue

AWS Glue supports the following connection types:

• JDBC-compatible data sources,
• Amazon Relational Database Service (Amazon RDS),
• Amazon Redshift,
• Amazon DocumentDB,
• Kafka,
• MongoDB,
• MongoDB Atlas.

But there’s no mention of the latest number of data connectors available for AWS Glue.

AWS Glue provides an API for creating custom connectors. With this, you can connect to data sources unknown to AWS Glue.

AWS Data Pipeline

AWS Data Pipeline has data connectors for AWS RDS, JDBC data sources, and more. These let you connect to various data sources. Be it databases, cloud platforms, and storage systems. Some of the most popular ones include Amazon S3, Amazon RDS, and Amazon Redshift.

AWS Data Pipeline allows you to connect to other data sources using AWS SDKs. This allows you to connect to any data source with an API or a JDBC driver. With this, you can use Java, .NET, and others.

Skyvia

Skyvia offers more than 180 connectors, and more to come very soon. It supports connectors for CRMs, accounting, email marketing, e-commerce, human resources, marketing automation, payment processing, product management, all major databases and DWH, flat files, and more. It’s also not a problem whether your data is on-premise or in the cloud.

You can access your on-premise data with peace of mind using the Skyvia Agent. It allows you to connect to databases like SQL Server, MySQL, and more using an encrypted connection. You need to download the Skyvia Agent and install it. Then, download a secured key file and place it in the same folder as the Agent. The Agent is like an unbreakable metal door, and you use the key file to open that door to your on-premise data. You can also set it up so that Skyvia can access only the resources you specify and nothing else.

Customers can also leave a request for a new data connector. And Skyvia will prioritize building it without additional payment.

Transformation

AWS Glue

AWS Glue can generate ETL code to transform source data into target schemas. Its graphical user interface (GUI) supports various types of transformations. These include handling missing values, filtering, mapping, aggregating, pivoting, and more.

If you prefer to code your transformations, AWS Glue supports Python and Scala.

AWS Data Pipeline

AWS Data Pipeline supports various types of transformations like filtering, aggregation, and normalization. You can use a simple drag-and-drop interface to perform transformations. Or write your transformations using a programming language like Python or Java. For even more complex transformations, you can also use Hive, Pig, and MapReduce.

Scheduling data transformation activities is easy with AWS Data Pipeline. And you can also check it in real-time using the AWS Management Console or through API calls. With AWS Data Pipeline, customers have complete control over their data transformation process.

Skyvia

Skyvia is a full-featured ETL service that allows powerful data transformations. It is a no-code solution allowing data splitting, conversion, lookups, and many more.

You can use the Skyvia Data Flow and Control Flow for advanced data pipelines. Transformations for these advanced pipelines are flexible. It supports extending your data with new columns, conditional flows, and summarized values. And all these you can do with parameters, variables, and more for flexibility without code.

Moreover, Skyvia has an Expression Builder to build formulas with many functions. With this, you can convert or extract parts of the data or form new values to suit your needs. And if you love coding in SQL, Skyvia can further extend your transformation needs. It supports multiple joins, groupings, CASE expressions, and more in SELECT queries. And you can also use DML commands like INSERT, UPDATE, and DELETE.

Support

AWS Glue

AWS Glue provides different levels of support for its customers. These include Basic, Developer, Business, and Enterprise.

Basic support is free. And this includes access to AWS Trusted Advisor and AWS Personal Health Dashboard.

Developer support includes all Basic support features, then add a 12-hour response time resolution of cases.

Business support includes all Developer support features, plus 1-hour response time for cases and Infrastructure Event Management.

Enterprise support includes all Business support features, plus a dedicated Technical Account Manager (TAM) and Infrastructure Event Management with customizations.

You can reach AWS Glue customer support by creating a case in the AWS Support Center. AWS Glue provides an SLA of 99.9% availability for its service. If you need premium support, you can avail yourself of AWS Premium Support.

AWS Data Pipeline

AWS Data Pipeline provides various levels of customer support. You can access documentation available on the AWS website. You can also submit tickets through the AWS Support Center. Or engage with the AWS community for guidance and support.

There are 4 plans for premium support: Developer, Business, Enterprise, and Enterprise Plus. The plans differ in the level of support and the services included. It can be any or all of the following:

• 24/7 access to AWS support engineers,
• personalized support,
• and guidance for architecture and best practices.

AWS also provides a Service Level Agreement (SLA) for different response times.

Skyvia

Skyvia offers free email, chat (on the website or in-app), and forum support for all customers. It also provides extensive documentation with lots of tutorials and user guides.

For paid customers, there's also a phone support option and additional support options for Enterprise customers.

Pricing

AWS Glue

AWS Glue pricing depends on the number of Data Processing Units (DPUs) used per hour. DPUs are a measure of processing power and memory capacity. AWS Glue charges $0.44 per DPU hour. This means you pay only for what you use with no upfront costs or commitments.

AWS Glue also has Always Free AWS Glue 1 Million. It includes 1 million objects stored in the AWS Glue Data Catalog and 1 million requests/month.

AWS Data Pipeline

AWS Data Pipeline offers a pay-as-you-go pricing model. The frequency of pipeline runs forms the basis of the model. Low-frequency runs are pipelines that run less than once a day. Rates are lower than high-frequency runs, which are pipelines that run once a day or more.

AWS Data Pipeline also offers a Free Trial. This includes 3 low-frequency preconditions and 5 low-frequency activities per month. This is free for 12 months. The Free Trial includes access to all AWS features. So, customers can test out the service and see if it meets their needs.

Skyvia

Skyvia Data Integration is a freemium tool with an option to request a 14-day trial. So, price is not a barrier to entry.

And when you’re ready, paid plans start from $19 per month. Pricing tiers depend on a few factors. It includes the number of loaded records, scheduling frequency, and advanced ETL features. There are no sale commitments. And customers can upgrade or downgrade at any time. Check out a detailed comparison here.

If you doubt the price is worth it, check out review sites like G2. Aside from ease of use, reasonable pricing is one of the things Skyvia customers like. So, you can be sure the features you get are worth every penny.