Sprinkle vs Metabase

Sprinkle Self-serve Data Interface reduces more than 80% of Adhoc report requests and lets the Analytics team focus on Data Modelling and Machine Learning

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Sprinkle
Metabase
Join Data from Multiple Sources
100+ Integrations to Databases, ERPs, CRMs, Cloud
Very few integrations
Exploratory Analysis using Drag & Drop
Requires SQL for every report
Inbuilt Data Preparation & ETL/ELT
Multi-stage Data Pipelines
Realtime Data Refresh
ML using inbuilt Jupyter Notebooks
Data Catalog
GitHub Integration
SQL Interface
Python Editor
Transform & EDA in python
Create Custom Expression using SQL
Automatic Partition Management
Semi-structured data analysis
Supports nested and complex data types
Automatic Schema Discovery
Row Level Security
Easy to configure
Complex to achieve, only in Paid version
Notifications - Slack & Email
Slack and Email
Only Email
Data Pivot & Transpose

Sprinkle is Fast, Agile, Cost-effective & Easy to scale unlike Tableau

Tableau requires data to be moved within the BI tool, which has following problems:
* Limitation on the amount of data that can be analysed
* Expensive Tableau servers as data scale increases
* Increased operational complexity to manage ETL within Tableau
Sprinkle, on the other hand, works directly on the warehouse and has inbuilt Data Caching layer which makes it super fast. Does not require data to be moved within the BI tool. This provides great flexibility and at the same time more cost-effective as the data scales.

Why do companies prefer Sprinkle over Metabase?

Ease of Analytics

Technical or non technical users can easily build their own reports by just selecting and running. In this case stakeholders or business folks no need to rely on analysts to get their desired reports.

Powerful Data Preparation & ETL tool

Extract data from different sources, automatically transform the data according to the data warehouse and blend the data into the warehouse. Data scientists and Data Analysts can easily  prepare the data for the further analysis.

Realtime data refresh with integrated ETL

From ingestion to insights the complete pipeline can be scheduled under real time. Once the data is updated in the source it will be immediately loaded into the data warehouse

Flexible ingestion and integrations

Sprinkle is customizable. Can easily ingest with any data source. As per client requirement sprinkle can develop the connections with the data source. It can easily integrate with different warehouses (Athena, Bigquery, Snowflake, Hive, Data Bricks, Redshift, etc.)

Automated data pipelines

Sprinkle also maintains and manages flexible data pipelines with the growing data from any source. The user’s design, builds and automates their own data pipelines. This allows the users to scale their own tables, clusters, and combine them as per the needs of their business analytics. This flexibility in building one’s own pipeline enables the users to keep up with the growing technology and the transformations with the business’s analytic needs.

Why customers love us ?

Sprinkle helped us become data enabler

Easy understanding of product is a top-most requirement and it takes very less amount of time for a user to get familiarized with basics in sprinkle. Product gives multiple option to users to get and analyze the data either using segments or custom queries. Integration with external products and dashboards is super easy.

Rajat Jain
Analyst, Udaan

One stop solution for whole data warehousing process.

Sprinkle integrates very well with warehouses and has ability to build data pipelines from multiple data sources. The datasource connectivity of kafka and kinesis gives ability to do realtime analytics over sprinkle and helps end users to take data driven decisions in realtime.

Piyush Sinha
Lead Data Engineer, Yulu

Sprinkle team knows big data domain very well

We are building heterogenous compute clusters for variety of use cases for Cloud and on-premise. Sprinkledata is able to handle all these various scenarios with supreme ease. There customer support is phenomenal and helped us debug some of the anomalies we ran into.

Abhishek Ranjan
Co Founder, Bigzetta systems

Really flexible,supportive in their client support

A great data integration tool which helped our company bring together different data sources like MySQL, Mongodb, Segment and S3. It had all we wanted from a data integration and management platform at one place. Moreover the Sprinkle team is really supportive and flexible in their client support and always available even for smaller questions,

Ambalika Smiti
Manager Analytics, Swiggy

Sprinkle made easy to implement projects faster in our org

Sprinkle helped our analytics team to focus on building models instead of worrying about data. Proactive support from sprinkle makes it easy to implement projects faster in our organisation.

Avinash Kumar
CTO, Aavas Financiers
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