Most businesses have data stored in a variety of locations, from in-house databases to SaaS platforms. To get a full picture of their finances and operations, they pull data from all those sources into a data warehouse or data lake and run analytics against it. But they don't want to build and maintain their own data pipelines.

Fortunately, it’s not necessary to code everything in-house. Here's an comparison of three such tools, head to head.

About Rivery

Rivery is a cloud-based ETL platform.

About MuleSoft

The MuleSoft Anypoint Platform includes several components:

  • Anypoint Design Center provides tools to build connectors and implement data and application flows, including the Anypoint Studio desktop IDE.
  • Anypoint Security defends the APIs and integrations users build.
  • Mule runtime engine powers the platform's connections to applications, data, and devices.
  • Anypoint Management Center lets users manage APIs and users, analyze traffic, monitor SLAs, and fix integration flows.
  • About Stitch

    Stitch Data Loader is a cloud-based platform for ETL — extract, transform, and load. More than 3,000 companies use Stitch to move billions of records every day from SaaS applications and databases into data warehouses and data lakes, where it can be analyzed with BI tools. Stitch is a Talend company and is part of the Talend Data Fabric.

    Competitors stitch
    Focus Data ingestion, ELT Enterprise Service Bus (ESB), application integration Data ingestion, ELT
    Database replication Full table; incremental by field timestamps Incremental replication depends upon manually written SELECT statements Full table; incremental via change data capture or SELECT/replication keys
    SaaS sources Over 100 About 70 More than 100
    Ability for customers to add new data sources Yes Yes Yes
    Connects to data warehouses? Data lakes? Yes / Yes No / Yes Yes / Yes
    Transparent pricing No No Yes
    G2 customer satisfaction 4.8/5 4.5/5 4.8/5
    Support SLAs Yes Yes Available
    Purchase process Requires a conversation with sales Requires a conversation with sales Options for self-service or talking with sales. Also available from the AWS store.
    Compliance, governance, and security certifications GDPR, SOC 2 HIPAA/HITRUST, GDPR, Level-1 PCI-DSS, SOC 2, FIPS HIPAA, GDPR, SOC 2
    Data sharing No Yes Yes, through Talend Data Fabric
    Vendor lock-in Annual contracts. Mule Kernel is available as open source, licensed under the Common Public Attribution License (CPAL). Month to month or annual contracts. Open source integrations
    Developer tools REST API, RIvery API for external embedding Runtime Manager REST API, CloudHub API Import API, Stitch Connect API for integrating Stitch with other platforms, Singer open source project

    Let's dive into some of the details of each platform.

    Transformations

    Rivery

    Rivery supports postload transformations defined in SQL via a feature called Logic Steps that can modify data within the target data warehouse.

    MuleSoft

    MuleSoft specializes in application integration — moving data from one application or platform to another. Each application has defined data structures, so MuleSoft often has to transform data from a source to fit the destination schema. MuleSoft comes with more than 20 prepackaged "transformers," and gives developers the ability to write their own custom processors in scripting languages such as JavaScript and Groovy.

    Stitch

    Stitch is an ELT product. Within the pipeline, Stitch does only transformations that are required for compatibility with the destination, such as translating data types or denesting data when relevant. Stitch is part of Talend, which also provides tools for transforming data either within the data warehouse or via external processing engines such as Spark and MapReduce. Transformations can be defined in SQL, Python, Java, or via graphical user interface.

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    Connectors: Data sources and destinations

    Each of these tools supports a variety of data sources and destinations.

    Rivery

    Rivery supports more than 100 integrations, to databases, SaaS applications, and storage platforms. Rivery provides a Custom API feature that lets users send data to Rivery using scripts they build internally. It supports seven destinations: Amazon Redshift, Google BigQuery, and Snowflake data warehouses; Amazon S3 and Microsoft Azure Data Lake; and Azure Blog Storage and Google Cloud Storage.

    MuleSoft

    Like other application integration platforms, MuleSoft typically replicates data changes one at a time between multiple systems, as events happen, rather than pushing batches of data to a single central repository. MuleSoft supports almost 300 connectors to databases, SaaS platforms, storage resources, and network services. It supports Amazon S3 data lakes, but no cloud data warehouses.

    Stitch

    Stitch supports more than 100 database and SaaS integrations as data sources, and eight data warehouse and data lake destinations. Customers can contract with Stitch to build new sources, and anyone can add a new source to Stitch by developing it according to the standards laid out in Singer, an open source toolkit for writing scripts that move data. Singer integrations can be run independently, regardless of whether the user is a Stitch customer. Running Singer integrations on Stitch’s platform allows users to take advantage of Stitch's monitoring, scheduling, credential management, and autoscaling features.

    Support, documentation, and training

    Data integration tools can be complex, so vendors offer several ways to help their customers. Online documentation is the first resource users often turn to, and support teams can answer questions that aren't covered in the docs. Vendors of the more complicated tools may also offer training services.

    Rivery

    Rivery provides support via Zendesk through a form on its website, and via email. Documentation is available from a link on the Rivery console. Rivery doesn't provide training services, but does offer video tutorials.

    MuleSoft

    MuleSoft provides online, email, and telephone support. Documentation is comprehensive. Digital training materials are available.

    Stitch

    Stitch provides in-app chat support to all customers, and phone support is available for Enterprise customers. Support SLAs are available. Documentation is comprehensive and is open source — anyone can contribute additions and improvements or repurpose the content. Stitch does not provide training services.

    Pricing

    Rivery

    Rivery provides a 14-day free trial. Pricing isn't disclosed, but it is "based on usage, which is calculated by the frequency in which your data streams are updated, and the frequency in which data transformations are executed."

    MuleSoft

    MuleSoft provides a 30-day free trial. Pricing isn't disclosed.

    Stitch

    Stitch has pricing that scales to fit a wide range of budgets and company sizes. All new users get an unlimited 14-day trial. Standard plans range from $100 to $1,250 per month depending on scale, with discounts for paying annually. Enterprise plans for larger organizations and mission-critical use cases can include custom features, data volumes, and service levels, and are priced individually.

    Get started now

    Which tool is best overall? That's something every organization has to decide based on its unique requirements, but we can help you get started. Sign up now for a free trial of Stitch.