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

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 do data teams love Sprinkle ?

Helped in becoming data enabler rather data provider to the team

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 as a data platform stands strong. It integrates very well with warehouses and has ability to build data pipelines from multiple data sources. The datasource connectivity of kafka, 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 heterogeneous compute clusters for variety of use cases: i. cloud, ii. on-prem, iii. storage on cloud and compute on-prem. SprinkleData is able to handle all these various scenarios with supreme ease. Their 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, 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

With Sprinkle, we are able to sync data seamlessly from different sources, build data pipelines and models on Hive Warehouse. It is a good help to our analytics team who now focus on building models instead of worrying about data. Proactive support from Sprinkle makes it easy to implement projects faster in our organization

Avinash Kumar
CTO, Aavas Financiers

and many more