Introduction

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 guide to help you choose the product that’s the best fit for your business.

Overview

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

Focus Data integration, ELT Data integration, ELT Data ingestion, ELT
Database Replication Fill table; incremental by key field values Full table; incremental via change data capture or SELECT/replication keys
SaaS sources About 40 More than 30 Several dozen
Ability for customers to add new data sources No No Yes
Connects to data warehouses? Data lakes? Yes / No Yes / No Yes / Yes
Transparent pricing No No Yes (link)
Support SLAs No Available
Purchase process Requires a conversation with sales Requires a conversation with sales Options for self-service or talking with sales
Compliance, governance, and security certifications None GDPR HIPAA, GDPR, SOC 2
Data sharing None No Yes, through Talend Data Fabric
Vendor lock-in Annual contracts. No open source Annual contracts only. No open source Month to month or annual contracts. Open source integrations
Developer tools None 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

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.

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.

Data Virtuality

DataVirtuality Pipes is a pure ELT platform.

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Data, sources and destinations

Each of these tools supports a variety of data sources and destinations.

Stitch

Stitch supports more than 90 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.

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.

Data Virtuality

DataVirtuality Pipes is a self-service data pipeline with almost 60 prebuilt connectors, while Pipes Professional supports almost 200 integrations to SaaS platforms and databases. They support Amazon Redshift, Google BigQuery, Microsoft Azure SQL Data Warehouse, and Snowflake data warehouses, along with database destinations and on-premises data warehouses. Customers can request that the company build a new data source or destination, but no one outside of the company can build new ones or make improvements to existing ones.

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.

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.

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.

Data Virtuality

DataVirtuality provides support through Intercom online chat and via email. Documentation is comprehensive. The company doesn't provide training services.

Pricing

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.

Blendo

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

Data Virtuality

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

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.