About the Services
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.
Supermetrics is a tool for delivering sales and marketing data into reporting tools. It was launched in 2013 and now serves more than 17,000 customers, according to its website.
Supermetrics is a web-based ETL tool that lets you connect to 120+ sources and 16 destinations. It is a simple fill-in-the-blanks form and easy-to-use query tool without coding focused on marketers. So if you're tech-savvy and find the tool doesn't fit your needs, keep in mind that it just wasn't designed for data professionals and developers. Note that if you sign-up for at least one year, you can't opt out and get a refund as a general policy. Use the 14-day trial to test it first.
Supermetrics has the ETL tool components. You can set your data source and destination, and you can define transformations through the Supermetrics API. It’s the most technical thing you can have with this tool. But most of the users admire its easy integration into Google Sheets and Excel.
Supermetrics has SOC 2 Type II, GDPR, and CCPA certifications. These ensure your data is safe until it reaches the destination.
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 160 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.
|Data ingestion, ELT, ETL, reverse ETL, data sync, workflow automation.
|Low code, no-code solutions.
Coding in various languages.
Liquid template language for transformations.
|No-code and easy to use wizard.
|JDBC-compatible connectors and Amazon ecosystem connectors.
|Supported data sources.
|Supported data sources, including databases, data warehouses, cloud apps and flat files.
|Full or incremental load.
|Full or incremental load.
|Full table and incremental via change data capture.
|Ability for customers to add new data sources
|Through AWS SDKs.
|Yes, by request or using REST API connector.
|G2 customer satisfaction
|4.1 out of 5
|4.4 out of 5
|4.7 out of 5
|Peer Insights satisfaction
|4 out of 5
|AWS Data Pipeline CLI.
AWS Management Console.
|Supermetrics Hub and API.
|REST connector for data sources that have REST API.
|Advanced ETL capabilities
|Visual ETL data pipeline designer with data orchestration capabilities.
|Compliance and security certifications
|SOC 1/2/3, HIPAA, GDPR
ISO 27001, 27017, and 27018
|SOC 2 Type 2, GDPR, CCPA.
|HIPAA, GDPR, PCI DSS.
ISO 27001 and SOC 2 (by Azure).
|Use the free trial and talk to sales.
|Use the 14-day free trial and talk to sales.
|Self-service or sales.
No minimum contract term.
|Monthly or annual contracts.
|Based on frequencies of preconditions and activities.
With 12 months of free tier.
|Fixed-fee pricing depending on destination.
Contact sales for more information.
With a 14-day free trial.
|Volume-based and feature-based pricing. Freemium model allows to start with a free plan.
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.
Supermetrics allows you to connect to 120+ connectors. The apps list includes sales and marketing platforms, data warehouses, and data lakes. There are only 16 destinations supported. Some popular sources are Google Ads, Facebook Ads, and Google Analytics. Popular destinations are Google Sheets, Looker Studio, and BigQuery.
Note that the pricing depends on the destination. For example, you need to load your data to Excel and then to Snowflake. Each has separate pricing. The pricing plan for each destination limits the number of sources you can connect to. So, you better plan your destination to avoid paying more. For example, instead of loading data to Power BI and Snowflake, use Snowflake only. You can connect any reporting or visualization tool to Snowflake.
If you can't find the needed data source in their list, you can request it. Or you can check their connector roadmap first and see if the missing data source is already under development.
Skyvia offers more than 160 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.
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.
Supermetrics allow you to convert, pivot, sort, and do other transformations. You can do this using Liquid Filters, an open-source template language from Shopify via the Supermetrics API.
Supermetrics provides the data in a denormalized form. It means that combining data doesn’t need relating different tables. Since this tool is for marketers, joining related tables will only confuse them. Supermetrics provide these denormalized data through standard schemas. So, common metrics and data dimensions are ready for use in reports. Users familiar with relatinal data can use custom schemas as well.
Transformations using Liquid will require technical skills. So business users can do transformations in the target reporting platform, like Google Sheets, Excel, or Power BI.
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.
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.
Supermetrics provides resources for creating ETL pipelines and reports. There are videos, technical documentation, etc. Supermetrics also provides customer onboarding. If this is not enough, you can send a support ticket.
Customer support is a mixed bag in review sites such as G2. Some report good response times, others - longer times. Most of the complaints pertain to bugs mainly resolved by the Supermetrics team.
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.
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.
Supermetrics have fixed-fee pricing depending on the destination of your pipeline. There’s separate pricing for each of the 16 destinations. So, if you need two destinations, you have to pay separately for each. Each destination pricing plan depends on the number of data sources and users. It also depends on how frequently your ETL pipeline runs. So, if you need to have hourly runs for Google Sheets, you need to avail yourself of the Enterprise plan. Data sources beyond your pricing plan require extra payment.
You can avail of the 14-day free trial limited by 100 queries per day per data source. Some users in review sites consider Supermetrics as pricey for its supported features.
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.