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 Qlik Replicate
Qlik offers several products: Replicate (formerly Attunity) for data replication, Compose for data ingestion, Enterprise Manager for managing Replicate and Compose tasks, and Gold Client for test data management in SAP environments. Qlik Compose, which can integrate with Qlik Replicate, comes in editions for automating the building of data pipelines to on-premises data lakes and data warehouses.
About Google Cloud Data Fusion
Google Cloud Data Fusion is a cloud-native data integration service. It's one of several Google data analytics services, including:
- BigQuery, a cloud data warehouse
- Google Data Studio, a relatively simple platform for reporting and visualization
- Google Cloud Datalab, a more robust analytics tool that lets data professionals explore, analyze, transform, and visualize data and build machine learning models
- Google Cloud Dataprep, a data service for exploring, cleaning, and preparing structured and unstructured data
- Google Cloud Dataflow, a platform for ingesting and processing real-time data
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.
|Focus||Database replication||Data integration||Data ingestion, ELT|
|Database replication||Full table; incremental replication via change data capture||Full table; incremental replication via custom SELECT statements||Full table; incremental via change data capture or SELECT/replication keys|
|SaaS sources||None||None||More than 100|
|Ability for customers to add new data sources||No||Yes||Yes|
|Connects to data warehouses? Data lakes?||Yes / Yes||Yes / Yes||Yes / Yes|
|G2 customer satisfaction||4.7/5||Not rated||4.8/5|
|Purchase process||Requires a conversation with sales||Self-service||Options for self-service or talking with sales. Also available from the AWS store.|
|Compliance, governance, and security certifications||None||HIPAA||HIPAA, GDPR, SOC 2|
|Data sharing||No||Yes||Yes, through Talend Data Fabric|
|Vendor lock-in||Month to month. Cloud Data Fusion is powered by the open source project CDAP||Month to month or annual contracts. Open source integrations|
|Developer tools||REST API||REST API to manage Cloud Data Fusion instances||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.
Qlik Replicate supports 10 types of simple pre-load global transformations, such as renaming tables and schemas, adding and dropping columns, and converting data types. Users can also build transformations through an Expression Builder graphical interface using SQLite operators and functions.
Google Cloud Data Fusion
Cloud Data Fusion supports simple preload transformations — validating, formatting, and encrypting or decrypting data, among other operations — created in a graphical user interface.
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.
Qlik Replicate runs on a Windows or Linux server, and supports about 30 database and file data sources. The software focuses on high-volume and low-latency database replication scenarios, including streaming near-real-time updates. It supports a variety of destinations: cloud data warehouses and data lakes, on-premises data warehouses, flat files, and streaming services.
Google Cloud Data Fusion
Cloud Data Fusion is a beta service on Google Cloud Platform. The platform supports almost 20 file and database sources and more than 20 destinations, including databases, file formats, and real-time resources. Cloud Data Fusion doesn't support any SaaS data sources.
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.
Qlik provides online, email, and telephone support. Documentation is comprehensive. Digital training materials and on-site classes are available.
Google Cloud Data Fusion
Google provides several support plans for Google Cloud Platform, which Cloud Data Fusion is part of. Documentation is comprehensive. Google offers both digital and in-person training.
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 isn't disclosed.
Google Cloud Data Fusion
Cloud Data Fusion is priced differently for development and execution. Development is priced per instance per hour at two different rates, for Basic and Enterprise editions. Execution runs at Google Cloud Dataproc rates.
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.