Daton vs Glew: Smart Choice for 2025

Saras Analytics vs. Glew: Which eCommerce Data Platform Sets You Up for Scale?

Choosing the right eCommerce data platform can make or break how effectively your business uses data. In this blog, we compare Saras Analytics and Glew—two platforms designed to help businesses unify, analyze, and act on their performance data. While both tools offer robust features across integrations, dashboards, and reporting, their approaches differ significantly in flexibility, customization, and depth of insights.  

Whether you're looking for out-of-the-box simplicity or enterprise-level data access, this comparison will help you decide which solution better aligns with your growth strategy, technical needs, and decision-making workflows. Let’s break it down across key feature categories.

Saras Analytics vs. Glew: Comparison

What does Saras Analytics offer?

Saras Analytics is an Omnichannel Data Intelligence Platform built to power data-driven growth. It delivers a comprehensive full-stack solution from data ingestion with its in-house tool Daton (offering over 200 pre-built connectors and support for 5,000+ APIs), to a fully managed cloud data warehouse, and finally to analytics dashboards via Saras Pulse.

Saras is built for businesses that need to consolidate reporting, break down data silos, and gain unified visibility across channels. Customers highlight how seamlessly it integrates with ERPs, consolidates financials across marketplaces, and reduces reliance on third-party tools. More than a service provider, Saras positions itself as a long-term strategic partner with deep domain knowledge in eCommerce and analytics.

Its analytics modules include:

• Customer Analytics

• Marketing Analytics

• Sales Analytics

• Financial Analytics

• Consent & Compliance Analytics

• Operations Analytics

Saras is purpose-built for eCommerce brands ready to turn data into meaningful action.

What does Glew offer?

Glew is an all-in-one commerce data and analytics platform designed for online retailers and DTC brands. It aggregates data from a business’s entire eCommerce tech stack from store platforms and marketplaces to marketing tools and ERP/POS systems — into one centralized view housed within Glew’s own data warehouse.

The platform offers pre-built BI dashboards and reports focused on core retail metrics like LTV, AOV, and repeat purchase rate, along with modules for product, customer, marketing, and inventory analytics. With over 170 integrations, Glew serves thousands of merchants by simplifying data consolidation and visualization inside a turnkey SaaS interface. It’s ideal for teams looking for fast, ready-made insights with minimal setup.

Saras Analytics vs. Glew: Data Ownership and Access

One of the most critical differences between Saras and Glew lies in data ownership and accessibility.

With Saras Analytics, your data lives in a warehouse designated by you. This means you have full ownership and unrestricted access to raw data. It helps in ensuring seamless integration with other tools, ad hoc analysis, or creating backups. Saras gives you a transparent data architecture you can trust, with no black boxes.

By contrast, Glew hosts all customer data in its proprietary warehouse. While users can interact with that data through Glew’s interface, they can’t directly access or export the underlying datasets. This limitation can be a drawback for businesses that need complete control or want to combine data from multiple internal sources.

Saras Analytics vs. Glew: Integration Breadth and Data Ingestion

When it comes to integration breadth and data ingestion, both platforms offer extensive coverage but with different levels of flexibility and depth.

Glew supports over 170 pre-built integrations focused primarily on eCommerce and marketing tools like Shopify, Magento, Amazon, eBay, Facebook Ads, and Google Analytics. The onboarding process is designed to be user-friendly, allowing brands to connect and start pulling data with just a few clicks.

Saras Analytics, powered by its in-house ingestion tool Daton, goes a step further with over 200 pre-built connectors and support for more than 5,000 APIs. The platform integrates not only with eCommerce and marketing platforms but also with advertising networks, databases, CRMs, payment gateways, and ERP systems giving it a broader and deeper reach, including newer or niche tools that may not be supported by Glew.

Daton performs over 500 daily updates, ensuring near real-time data freshness. Saras focuses on simplifying data collection with minimal engineering lift, consolidating fragmented data streams into a centralized repository that powers reliable, scalable analytics.

Saras Analytics vs. Glew: Dashboard and Reporting Capabilities

Both platforms deliver strong dashboarding capabilities but with very different philosophies.

Glew offers a library of ready-made dashboards and segments tuned to retail and allows for basic customization via a no-code interface powered by an embedded version of Looker. It’s fast and easy, but somewhat constrained by the platform’s underlying data model.

Saras, on the other hand, offers pre-built dashboards via Saras Pulse while enabling full customization; the reason behind direct access to the data warehouse. Users can run custom queries using SQL or integrate external BI tools like Tableau, Power BI, or Looker for tailored visualizations. This flexibility enables deeper analytics and broader use cases, which is ideal for teams with more complex reporting needs. It provides teams with shared dashboards, but also the ability to build from a single source of truth that can grow with their business.

Saras Analytics vs. Glew: Product & Channel Performance Analytics

With Glew, brands can track key metrics across sales, products, and marketing. They can view performance across SKUs, categories, and channels, with built-in visualizations for metrics like revenue, LTV, AOV, and ROAS by channel. Glew also delivers granular product-level insights, including units sold, gross margins, cost of goods, and repeat purchase rates. This allows for SKU-specific and category-level performance tracking without custom setup.

Pulse by Saras Analytics also offers plug-and-play dashboards, spanning sales, marketing, and customer cohorts. Users can drill into performance by product, campaign, or channel, similar to Glew.  

But Saras takes it further by building its analytics on top of a centralized data warehouse. This unlocks the ability to define custom metrics and run advanced cohort or blended channel analyses using SQL. This is a level of flexibility that Glew’s UI-first approach doesn’t support.  

Saras Analytics vs. Glew: Attribution & Customer Segmentation

Glew includes basic attribution capabilities, primarily using rule-based models like last-click to identify which channels are driving conversions. It also supports pre-built customer segments, such as VIPs, at-risk customers, or high-frequency buyers, often built on RFM analysis. Users can create custom segments within the app and sync them to marketing platforms for activation. However, when it comes to multi-touch or algorithmic attribution, Glew’s functionality remains relatively limited.

Saras Analytics brings more advanced capabilities to the table, especially through its integration with Blotout.  

Blotout’s first-party tracking pixel captures user interactions in a privacy-compliant way, enabling multi-touch attribution even in environments with restricted cookie tracking. This allows brands to accurately credit multiple touchpoints along the customer journey and get a clearer picture of what’s driving conversions.

On the segmentation front, Saras is built for flexibility. Users can run cohort analyses, build predictive LTV segments, and even create custom scoring models either within Pulse or by querying the full dataset in the warehouse.  

Saras Analytics vs. Glew: Inventory & SKU Intelligence

Glew shines in inventory and merchandising analytics, offering native reports that pull from ERP or inventory systems to highlight stock on hand, stockouts, turnover rates, and sell-through. It automatically flags fast-moving vs. slow-moving products, as well as overstock or low-stock items, helping merchants make faster restocking and procurement decisions.

Saras Analytics delivers similar inventory insights with one key difference: customizability. When data is ingested from ERPs, WMSs, or POS systems, Saras unifies it with sales and marketing data within the warehouse. This enables flexible reporting on inventory KPIs like turnover, holding costs, or forecast accuracy. While Pulse includes templated dashboards, The core strength of Saras lies in its flexible data model, which allows teams to extend beyond default views and build truly tailored operational analytics.

Saras Analytics vs. Glew: Pricing and Scalability

Glew runs on a tiered SaaS pricing model, making it affordable for smaller businesses. However, pricing can climb as you scale. This can happen because of factors like- an increase in the data volume, adding new stores, or unlocking premium features. For very large enterprises, scalability may become a limiting factor.

Saras Analytics follows a custom/enterprise pricing approach based on the modules you need and how much data you're handling. The platform aims to deliver enterprise-grade capabilities without the enterprise-level price tag, offering a strong value proposition for mid-market and fast-growing brands.

Thanks to its foundation in cloud data warehousing, Saras can scale effortlessly as your data needs expand without performance bottlenecks. You also pay based on actual warehouse usage, avoiding arbitrary limits on users, rows, or reports.

Saras Analytics vs. Glew: Pros and Cons

‍Saras Analytics

Pros:

• Full data ownership and control

• Highly customizable and extensible

• End-to-end data solution from ingestion to visualization

• Advanced attribution and privacy features

• Built for scalability and long-term growth

• Transparent, verifiable raw data access

• Compatible with any BI tool

• Strong customer support and consultative partnership

• Broader integration support

Cons:

• Requires more initial setup or understanding of data architecture

• Potentially higher upfront investment than Glew’s entry plans, though long-term ROI may be stronger

Glew

Pros:

• Turnkey, all-in-one platform

• Extensive pre-built eCommerce integrations

• Rich out-of-the-box metrics and customer segments

• User-friendly interface

• No-code report customization

• Accessible pricing for SMBs

Cons:

• Limited data access and ownership

• Restricted customization and extensibility

• Not all plans support external BI access

• May not scale well for enterprise use

• Basic attribution models

• Support quality can vary

Final Verdict: Saras Analytics vs. Glew

Choosing between Saras Analytics and Glew depends on where your business is today and where you’re headed.

If you’re an SMB or mid-sized eCommerce brand looking for a plug-and-play analytics solution with minimal setup and pre-built dashboards, Glew is a strong contender. It’s simple, effective, and ideal for teams without a dedicated data team.

However, if you’re a mid-market or enterprise brand, or a fast-growing business needing full data control, custom analytics, and future-ready infrastructure, Saras Analytics is the better long-term fit. Its full-stack architecture, integration flexibility, and scalable cloud warehouse design make it a strategic choice for building out a solid data foundation.

Glew offers a packaged product experience, while Saras builds a long-term partnership with brands. To explore what that partnership could look like for your business, Talk to our Data Consultant Now.