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 build everything in-house. We put together this ETL tool comparison guide to help you choose the product that’s the best fit for your business.

Overview

Blendo, Treasure Data, and Stitch are all popular platforms. Here's a side-by-side look at how they stack up against each other.

Focus Data ingestion, ELT Customer data platform Data ingestion, ELT
Database replication Full table; incremental via timestamp Full table; incremental since last import and/or using custom SELECT query Full table; incremental via change data capture or SELECT/replication keys
SaaS sources About 40 More than 90 More than 100
Ability for customers to add new data sources No No Yes
Connects to data warehouses? Data lakes? Yes / No Yes / Yes Yes / Yes
Transparent pricing No No Yes
Support SLAs No Available 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 None SOC 2, Privacy Shield HIPAA, GDPR, SOC 2
Data sharing None No Yes, through Talend Data Fabric
Vendor lock-in Annual contracts. No open source Unknown Month to month or annual contracts. Open source integrations
Developer tools None Both system and client library REST 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

Blendo

Blendo focuses on the E and L, extraction and loading, of ELT. It extracts raw data from sources and loads it into destinations without performing transformations.

Treasure Data

Treasure Data calls itself a customer data platform, and focuses on serving as a central repository of marketing data. Transformations are not supported.

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.

Blendo

Blendo supports about 40 input data sources, including SaaS platforms and databases. It supports six destinations: Amazon Redshift, Google BigQuery, Microsoft SQL Server, Panoply, PostgreSQL, andSnowflake. Customers can request that the company build a new data source, but no one outside of the company can build new ones or make improvements to existing ones.

Treasure Data

Treasure Data supports more than 100 integrations to SaaS, IaaS, and PaaS platforms; databases; and other data sources. The company has written an open source bulk data loader called Embulk that supports bulk loading of data from various databases, storages, file formats, and cloud services. Treasure Data supports about 80 destinations, including Amazon Redshift and S3, Google BigQuery, Snowflake, and Microsoft Azure Blob Storage.

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.

Blendo

Blendo provides support through Intercom online chat and via email. Documentation is in the form of an online knowledgebase. The company doesn't provide training services.

Treasure Data

Support is available via email or through a ticketing system. Documentation is comprehensive. The company doesn't provide training services.

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

Blendo

Blendo provides a 14-day free trial, but doesn't disclose pricing.

Treasure Data

Treasure Data doesn't disclose pricing. The company offers a free trial to users who fill out a trial request form.

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.