No Code, Low Code, Self-Serve Advanced Analytics
- Website
- Location
- Company size
- 11-50 people
- Company type
- Private Company
- Markets
Sparkflows.io careers
Start your AI journey with Sparkflows.
Drag-and-drop ML/AI for Analyst, Data Scientist and Data Engineers.
Our platform provides Next Generation Self-Serve Advanced Data Science and Analytics.
Sparkflows is the most powerful product in the market that is built from ground up (no legacy hangover) to promote rapid development of Big Data Applications. With focus on large scale data processing, we use Big Data Engines which run workload 100x faster for batch and streaming data, making insights available in hours rather than weeks. We offer the most comprehensive library of built in nodes for sourcing data from batch and streaming data sources, data manipulation nodes for data cleanup and data filtering, and sending data to a wide variety of data consumers including databases and visualization platforms. All this functionality is available right out-of-the-box making it easy for Business Analysts, Data Engineers and Data Scientists to deliver data flows using the native Workflow Designer and churn out insights quickly.
But we go even further!
Our platform is fully extensible which allows you to write custom code to meet your needs, and share it and re-use it!
Sparkflows is available on the Cloud of your choice - Amazon EMR, Azure or Google Cloud, or you can install it on the Edge nodes of your on-premise Data Lake. With browser based interface, built in integration with LDAP and native support for Spark-as-a-service, it is built to run at scale.
Drag-and-drop ML/AI for Analyst, Data Scientist and Data Engineers.
Our platform provides Next Generation Self-Serve Advanced Data Science and Analytics.
Sparkflows is the most powerful product in the market that is built from ground up (no legacy hangover) to promote rapid development of Big Data Applications. With focus on large scale data processing, we use Big Data Engines which run workload 100x faster for batch and streaming data, making insights available in hours rather than weeks. We offer the most comprehensive library of built in nodes for sourcing data from batch and streaming data sources, data manipulation nodes for data cleanup and data filtering, and sending data to a wide variety of data consumers including databases and visualization platforms. All this functionality is available right out-of-the-box making it easy for Business Analysts, Data Engineers and Data Scientists to deliver data flows using the native Workflow Designer and churn out insights quickly.
But we go even further!
Our platform is fully extensible which allows you to write custom code to meet your needs, and share it and re-use it!
Sparkflows is available on the Cloud of your choice - Amazon EMR, Azure or Google Cloud, or you can install it on the Edge nodes of your on-premise Data Lake. With browser based interface, built in integration with LDAP and native support for Spark-as-a-service, it is built to run at scale.
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Kapil Goyal
Passionate hands-on product leader who leverages data, ideas and insights, and collaborates across functions to deliver products that delight customers.
Jayant Shekhar
Founder @Sparkflows
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