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 two such tools, head to head.

About Segment

Segment has a different focus than most ETL tools — it's designed to collect and connect customer data from multiple marketing, analytics, and data warehousing tools and unify it into customer profiles. It's not primarily an ETL tool, but it does include connectivity to some SaaS data sources and data warehouse destinations.

In Segment, an event is a set of actions that represents a step in the funnel, such as user invited or signed up or order completed. Users can define events that make sense for their business use cases, based on key metrics that provide business value, and create tracking plans to document the events and properties they intend to collect across Segment sources.

About StreamSets

The StreamSets DataOps Platform includes five components:

  • Control Hub is the dashboard for building, deploying, and operating data flows.

  • Data Collector is an open source tool for designing streaming data pipelines with both a graphical UI and a command-line interface.

  • Data Collector Edge is a data ingestion and analytics tool for IoT and cybersecurity edge systems that runs via an ultralight agent.

  • Data Protector discovers and secures sensitive data as it moves through a pipeline, to aid compliance with GDPR, HIPAA, and other regulations.

  • DataFlow Performance Manager adds historical comparisons and data SLAs for availability, accuracy, and security.

    • 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.

    Segment LogoStreamSets LogoStitch Logo
    FocusEvent tracking, data ingestion, ELTETL, transformations, data prepData ingestion, ELT
    Database replicationNo database data sourcesFull replication or change data captureFull table; incremental via change data capture or SELECT/replication keys
    SaaS sourcesAbout 35Only SalesforceMore than 100
    Ability for customers to add new data sourcesFor events but not cloud app sources (see explanation below)YesYes
    Connects to data warehouses? Data lakes?Yes / NoYes / YesYes / Yes
    Transparent pricingYesNoYes
    G2 customer satisfactionHelp4.6/5Not Rated4.8/5
    Support SLAsAvailableAvailableAvailable
    Purchase processOptions for self-service and talking with salesRequires a conversation with salesOptions for self-service or talking with sales. Also available from the AWS store.
    Compliance, governance, and security certificationsGDPRHIPAA, GDPRHIPAA, GDPR, SOC 2
    Data sharingNoNoYes, through Talend Data Fabric
    Vendor lock-inMonth to month or annual contracts. The company maintains several open source projects.Annual contracts. StreamSets Data Collector is open source, other parts of the platform are proprietary.Month to month or annual contracts. Open source integrations
    Developer toolsJavaScript library, mobile SDKs, server-side libraries, HTTP Tracking API, Pixel Tracking API, Objects API, Objects Bulk APISeveral APIsImport 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

    Segment

    To the extent that it performs ETL operations, Segment focuses on the E and L, extraction and loading. It extracts raw data from sources and loads it into destinations without allowing users to define their own transformations — though Segment itself transforms events and objects to conform to its standard as it sends them between different tools, including to the data warehouse.

    StreamSets

    StreamSets comes with more than 50 pre-load transformation processors, which users can drag and drop onto a graphical workspace. Processors can look up, remove, convert, parse, and aggregate data from various sources. Developers can write their own custom processors in Java, Java Expression Language (EL), JavaScript, Jython, Groovy, and Scala.

    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.

    Segment

    <p>Segment offers integrations for several different kinds of sources:</p> <li>It tracks and sends events between more than 250 supported tools.</li> <li>It replicates data from about 35 cloud app sources that are common among ETL tools.</li> <br> <p>To understand the difference between the events and SaaS data sources, take the example of Salesforce, which is one of a handful of integrations supported in both categories. Event tracking would enable updates to Salesforce leads and contacts based things those users did in a separate system, like a mobile app.</p> <p>If you want to replicate all of the data in your Salesforce instance to your data warehouse, including information entered by your sales team, that’s only possible with a cloud app source.</p> <p>Customers can use Segment's developer tools to track new event sources, but no one outside of the Segment team can build new cloud app sources.</p> <p>Segment supports six destinations:</p> <li>Amazon Redshift</li> <li>Google BigQuery</li> <li>Snowflake</li> <li>Azure SQL Data Warehouse</li> <li>Postgres</li> <li>IBM Db2</li>

    StreamSets

    StreamSets Data Collector (SDC) supports more than 40 storage and database sources, plus Kafka Streams and MapR Streams; no SaaS integrations are available other than Salesforce. Destinations include Google BigQuery, Snowflake, Amazon S3, Microsoft Azure SQL Data Lake, and more than 30 other database, storage, and streaming platforms.

    Stitch

    Stitch supports more than 100 database and SaaS integrationsas 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.

    Segment

    Segment provides support through a ticketing system. Documentation is comprehensive. Segment does not provide training services.

    StreamSets

    StreamSets provides support through a Zendesk ticketing system. 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

    Segment

    Segment provides a 14-day free trial, and has a free Developer tier. Team accounts start at $120 per month. Pricing is based in part on the volume of monthly tracked users in data sources. Business plans for larger organizations are priced individually.

    StreamSets

    StreamSets 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 better 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.

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