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 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.
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||Log replication and management||Data ingestion, ELT|
|Database replication||None||Full table; incremental via change data capture or SELECT/replication keys|
|SaaS sources||None||More than 100|
|Ability for customers to add new data sources||Yes||Yes|
|Connects to data warehouses? Data lakes?||Yes / Yes||Yes / Yes|
|G2 customer satisfaction||4.0/5||4.8/5 (+16%)|
|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. Also available from the AWS store.|
|Compliance, governance, and security certifications||GDPR, SOC 2 Type 2||HIPAA, GDPR, SOC 2|
|Data sharing||No||Yes, through Talend Data Fabric|
|Vendor lock-in||Month to month or annual contracts. Open source integrations|
|Developer tools||Four monitoring APIs, instructions for writing plugins in Java||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.
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.
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.
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.
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.
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.
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.
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.
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.