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 Elastic Logstash

Elastic is the corporate name of the company behind Elasticsearch. Logstash is a command-line tool that runs under Linux or macOS or in a Docker container. It integrates log data into the Elasticsearch search and analytics service. Elasticsearch, Logstash, and Kibana make up the company's ELK Stack.

About Azure Data Factory

Azure Data Factory is a cloud-based data integration service for creating ETL and ELT pipelines. It allows users to create data processing workflows in the cloud,either through a graphical interface or by writing code, for orchestrating and automating data movement and data transformation.

Stitch and Talend partner closely with Microsoft. While this page details our products that have some overlapping functionality and the differences between them, we're more complementary than we are competitive. Microsoft Azure offers lots of products beyond what's mentioned on this page, and we have thousands of customers who successfully use our solutions together.

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 Log replication and management ETL Data ingestion, ELT
Database replication None Full table; incremental via custom SELECT query Full table; incremental via change data capture or SELECT/replication keys
SaaS sources None About 20, with several more in preview More than 100
Ability for customers to add new data sources Yes No Yes
Connects to data warehouses? Data lakes? Yes / Yes Yes / Yes Yes / Yes
Transparent pricing Yes Yes Yes
G2 customer satisfaction 4/5 4.6/5 4.8/5
Support SLAs No Yes Available
Purchase process Available as a free download. Also bundled as part of the Elastic Stack, which is available via subscription Options for self-service or talking with sales Options for self-service or talking with sales. Also available from the AWS store.
Compliance, governance, and security certifications GDPR, SOC 2 Type 2 HIPAA, GDPR, ISO 27001, others HIPAA, GDPR, SOC 2
Data sharing No No Yes, through Talend Data Fabric
Vendor lock-in Logstash is open source software shipped under the Elastic license Month to month Month to month or annual contracts. Open source integrations
Developer tools Four monitoring APIs, instructions for writing plugins in Java REST API, .Net and Python SDKs 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

Elastic Logstash

Logstash provides plugins for several kinds of transformations, including filtering and deserializing data, extracting fields, and enriching data with lookups. Filters are text files, and users can edit existing filters and write their own; Logstash filters are Ruby gems.

Azure Data Factory

Azure Data Factory supports both pre- and post-load transformations. Users apply transformations either by using a GUI to map them, or in code using Power Query Online. Azure Data Factory supports a wide range of transformation functions.

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.

Elastic Logstash

Logstash supports more than 50 log and event data sources. Destinations include Google BigQuery data warehouse, Google Cloud Storage and Amazon S3 data lakes, Elasticsearch, and more than 50 other file formats and operational monitoring platforms.

Azure Data Factory

Azure Data Factory integrates with about 80 data sources, including SaaS platforms, SQL and NoSQL databases, generic protocols, and various file types. It supports around 20 cloud and on-premises data warehouse and database destinations.

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.

Elastic Logstash

Logstash vendor Elasticsearch provides support through a customer-only portal. Logstash is also supported through an open source community. Documentation is comprehensive. Digital training materials are not available.

Azure Data Factory

Azure Data Factory provides support via online forums and an online support request form. Email and phone support are available. 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

Elastic Logstash

Logstash is a free download, and is available bundled with other products in the Elastic Stack as a subscription, which starts at $16 per month. More expensive plans are available that feature things like dedicated support, custom plugins, machine learning, and advanced security features.

Azure Data Factory

Pricing for Azure Data Factory's data pipeline is calculated based on number of pipeline orchestration runs; compute-hours for flow execution and debugging; and number of Data Factory operations, such as pipeline monitoring.

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. After the trial, there's a free plan for smaller organizations and nonproduction workloads. 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.