Top Stitch Data Alternatives: Pipelines, Features, Prices Compared

Stitch Data is a cloud-first, open-source ETL platform that enables business teams to rapidly and securely move data from multiple sources to designated data warehouses for fast and efficient analysis.

The platform is an integral part of the Talend Data Fabric, providing prebuilt connectors to over 100 databases and SaaS applications, with support for leading data warehousing platforms like Snowflake, RedShift, BigQuery, and Azure Synapse Analytics.

Stitch Data offers a simple interface with ready-to-query schemas designed to accelerate the process of onboarding and extracting insights from new data sources.

The platform, as stated in one of its documentation pages, does not support user-defined data transformation. This means that you can’t carry out advanced data transformation processes on the platform. It does support and automate a few basic preload transformation processes, like JSON structures, data typing, object names, etc., but these are only sufficient for light- and medium-duty data warehousing needs. Advanced data transformation capabilities can only be accessed by signing up on Talend, Stitch Data’s “parent platform”.

The platform is also compliant with major security protocols, including SOC-2 and HIPAA.

Stitch Data caters to small-, medium-, and large-scale organizations across multiple industries. This includes teams working in transportation, consulting, finance, retail, real estate, SaaS, healthcare, marketing, and more.

The platform offers solutions specifically designed for sales, marketing, and product intelligence teams. Stitch Data supports common marketing and sales data source connectors, like Facebook Ads, Google Analytics, HubSpot, Mailchimp, and others. It sources the data necessary for a high-level overview of performance, but the platform may lack sufficient data granularity to dig deep into campaign, page, and ad analytics.  

Product intelligence teams leverage Stitch Data to understand how users interact with products, launch strategies, and ship new features immediately.

The platform offers a few advanced features like multiple destinations, advanced scheduling, and smart cache refreshing, which benefit enterprise companies.

Stitch Stitch Data offers a three-tiered pricing system: Standard, Advanced, and Premium.

Users on the Standard plan can choose to be billed monthly or annually, while users on higher plans pay annually.

For users on the Standard plan, billing starts at $100 for 5 million rows per month and can reach  up to $1250 for 300 million rows. Stitch Data also lets users test run the platform for 14 days, free of charge. However, the free trial is only available on the Standard plan.

The Standard plan is best suited for individuals with minimum requirements for their data pipeline. The plan grants access to 10 out of 130 “standard” data sources. Only users on higher plans can use all of the prebuilt data sources, including “enterprise” sources like Amazon RDS, Oracle, Google Analytics 360, and Workday RaaS. 

Stitch Data offers integration with 130 SaaS platforms and databases, delivering data to leading destinations (data warehouses, storage platforms, and data lakes) for analysis.

The data sources covered by Stitch Data include apps and platforms used by marketing and sales teams, like Google Analytics, Facebook Ads, Salesforce, SendGrid, etc. 

Stitch Data makes provisions for pushing data from custom sources (sources not included in its library). You can use the platform’s Import API or build your own connectors using the Singer framework.

Import API acts as a reception point for arbitrary data sent as JSON files. The received data is then processed and sent to your chosen destination. On the other hand, the Singer framework is an open-source solution that allows you to build your own taps (a fancy word for connectors). However, both methods are highly technical and require coding expertise.

Furthermore, Stitch accepts requests for custom connectors. However, this service is only available to enterprise customers.

Why Look for a Stitch Data Alternative?

1. Stitch Data is a general-purpose ETL platform that caters to diverse teams. Thus, if you need an ETL solution specifically tailored to your needs as a marketing or sales professional, Stitch Data won’t have all of the features you need.
2. Offers limited native data connectors. Current customers also note the lack of transparency with integration configurations, which makes it harder to resolve any emerging issues.
3. Developing custom connectors requires advanced technical knowledge.
4. Data transformation features aren’t up to par, according to several users.
5. With a rating of 3 stars on Capterra, Stitch Data’s customer support leaves a lot to be desired. Customers on the Standard plan are limited to chat support.
6. Customer reviews suggest the platform still struggles with data quality. So, if you need a platform with a 100% guarantee on data quality, Stitch may not be ideal.

Improvado is an enterprise-grade, no-code Revenue Data Platform that automates how marketing, sales, and revenue teams extract, transform and load data from source to destination.

The platform offers prebuilt connectors to over 500 data sources, making it convenient for users who want to efficiently aggregate and push data to data warehouses or to BI, visualization, or analytics tools. Improvado’s clients can also request custom connectors if they need to work with a data source not listed in the integration catalog. Furthermore, the platform offers a high level of granularity, allowing you to explore insights at any level. 

Improvado is known for its advanced data transformation engine, known as the Marketing Data Common Model (MCDM). This functionality automatically unifies disparate naming conventions that usually occur when pulling related data from different sources, removes errors and duplicates, and runs automated data mapping and transformation sequences using self-service or prebuilt templates. That way, you can get access to analysis-ready data in no time and start analyzing it in built-in dashboards.

Thanks to its compliance with HIPAA, SOC-2, and enterprise SLA, Improvado is compatible with businesses in privacy-sensitive industries, like health, insurance, and finance.

Improvado Use Cases

Improvado is specifically designed for marketing, sales, and revenue teams. Thus, it is fully fitted with features that cater to the needs of these departments and requires zero technical skills. 

Marketing, sales, and revenue teams use Improvado to access insights on all revenue-generating efforts across their channels and customer touchpoints. This is powered by Improvado’s efficient marketing attribution modeling functionality that enables users to build custom data pipelines that automatically attribute conversions to the right channels.

As a no-code platform, Improvado is suitable for teams with zero coding skills and SQL knowledge. Improvado also provides professional services to customers who need help with building custom data dashboards, handling data migration, and providing team-wide training. As an add-on, Improvado provides data warehouse maintenance services, freeing up your company’s valuable time and resources.  

The platform has users from several industries, encompassing professionals in mid-market brands, large-scale enterprises, and agencies.

Improvado Pricing

Improvado doesn’t tie its users to a specific contract value. Improvado assesses your company’s unique needs when you request a quote and calculates a custom pricing plan best suited for your business.

Improvado’s flexible pricing means you get access to and pay only for the features and bandwidth you need.

Furthermore, Improvado offers a token, called DECS points, which you can spend on APIs, flat file ingestion, report type development and modification, and other development needs.

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Improvado Integrations

Improvado has a library of over 500 data sources across several categories, including advertising platforms, CRMs, payment gateways, eCommerce tools, and more. If you can’t find a specific data source in the integration library, you can always request a custom connector, and it will be built for you.

The platform also supports leading data warehouses like Google BigQuery, Amazon RedShift, Snowflake, and more.

Check out a full list of Improvado’s data sources and destinations. The solution also has a comprehensive data dictionary featuring all the metrics, properties, dimensions, and more, as supported by each data source. Take a look here.

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