Rivery vs AWS Data Pipeline vs Skyvia

Rivery 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

Rivery

vs

AWS Data Pipeline

vs

Skyvia

About the Services

Rivery

Rivery is a fully-managed SaaS platform. It provides a unified platform for data ingestion, transformation, and workflow orchestration. It started in 2018 and now has offices in New York, Austin, Tel Aviv, and London.

Rivery uses an easy, no-code wizard interface. But for flexibility, it allows coding in Python and SQL for data transformations. Rivery refers to data pipelines as Rivers. You can do the following 3 types of rivers:
- Source to Target River for data ingestion,
- Logic River for data transformation and workflow orchestration,
- and Action River to make REST API calls.

Any of these rivers can benefit from the 200+ pre-built connectors.

Rivery runs exclusively in Amazon Web Services (AWS). So, the compliance and security certificates of the AWS platform are in effect. Rivery does not keep any customer data that flows in their pipeline.

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.

RiveryAWS Data PipelineSkyvia
FocusELT, Reverse ETL, and data ingestion.ETLData ingestion, ELT, ETL, reverse ETL, data sync, workflow automation.
Skill levelNo-code wizard for data ingestion. Python/SQL skills for data transformationLow code, no-code solutions.
Coding in various languages.
No-code wizard. Top-rated as one of the easiest ETL tools by G2.
Sources200+JDBC-compatible connectors and Amazon ecosystem connectors.180+
Destinations15 target connectorsSupported data sources.Supported data sources, including databases, data warehouses, cloud apps and flat files.
Database replicationFull or incremental load through change data capture.Full or incremental load.Full table and incremental via change data capture.
Ability for customers to add new data sourcesYes, through custom API connector.Through AWS SDKs.Ye s, by request or using REST API connector.
G2 customer satisfaction4.7 out of 5
50 reviews
4.1 out of 5
24 reviews
4.8 out of 5
217 Reviews
Peer Insights satisfactionN/A4.7
1 Ratings
4.8
103 Ratings
Developer toolsWeb interface for designing pipelines or rivers. And Action River for API access.AWS Data Pipeline CLI.
AWS Management Console.
REST connector for data sources that have REST API.
Advanced ETL capabilitiesRunning a pipeline within another pipeline and accessing REST APIs.AWS SDKs.
Query API.
Visual ETL data pipeline designer with data orchestration capabilities.
Compliance and security certificationsSOC 2, HIPAA, GDPR, ISO/IEC 27001:2013.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 processStart free and/or talk to sales.Use the free trial and talk to sales.Self-service or sales.
Vendor lock-inAnnual contracts.Pay-as-you-go.
No minimum contract term.
Monthly or annual contracts.
PricingCharges based on Rivery Pricing Unit (RPU) credits or platform usage. 14-day access to all features + 1000 free usage credits in the free trial.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

Rivery

Rivery supports 200+ connectors for databases like Oracle and SQL Server. And SaaS platforms like Salesforce and HubSpot. And flat files like CSV. It also has the ability to connect to online sources through REST APIs. And use Rivery WebHooks to connect HTTP endpoints to cloud data warehouses. And stream real-time events and notifications.

Rivery regularly updates its connectors to ensure 100% compatibility when you connect.

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

Rivery

Transformations happen in a Logic River. And inside you can use SQL for in-warehouse transformations. Or, use Python for more complex scenarios. You can also use conditional logic. It will allow you to get different transformations depending on a condition. Then, you can put the transformed results into a variable, a Python DataFrame, a flat file, or a database table. But note that Python is for Professional and Enterprise plans only.

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

Rivery

Rivery offers various ways to get you up and running in your data integration efforts. It includes 24/7 global support. And also, on-boarding and dedicated customer success services that vary by plan.

It also has a community forum where customers can share their knowledge. And finally, online documentation, webinars, and eBooks. Check these resources first prior to sending support issues.

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

Rivery

Rivery lets you select between annual contracts or on-demand, pay-as-you-go pricing. Pricing is based on a credit system called the Rivery Pricing Unit (RPU). You compute RPUs based on the processed data size in bytes. Or the number of executions for API-based sources.

The pricing plans include the Starter for $0.75/RPU and Professional for $1.20/RPU. But for the Enterprise plan, you need to contact sales.

All plans include the following:
• Unlimited users,
• All 200+ sources and 15 targets,
• Unlimited usage,
• Reverse ETL,
• Change Data Capture (CDC),
• Unlimited SQL transformations,
• and 24/7 global support.

Python transformations, however, are only available in Professional and Enterprise plans. Note also that in the Starter plan you can only do up to a per hour synchronization. And up to 5-minute frequency for the higher plans.

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.