Data Syncer (Beta)
We help build insightful data streams from existing application stores without having you write a line of code.
What we do
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Data Engineering
Building robust, scalable, fault tolerant and cost effective Data platforms which enables your organisation to draw insights from data fast and easy.
Product Engineering
Product engineering at scale with primary focus on performance, scalability, least time-to-market. We are building distributed, fault tolerant backends with cutting edge frontends to handle your business at any scale.
Machine Learning
Building practical machine learning solutions with your precious data. Right from POCs to scalable deployment of your models.
Product Design
We design beautifully-crafted, easy to use website and applications that help make people’s life better
Data Handling Capabilities
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5TB+
Daily
Data
Processing
500PB+
Managed
Across
Data Lakes
1M+
EPS High-Frequency
Event Streams
Processing
Contributor to open source projects and maintaining forks likes of Debezium, Spark, Kylin, Metabase, HBase, and Hudi
Our Commits
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Author - DataOrc
Using Postgres as Queue to handle 100k EPS
Author - DataOrc
Building Petabyte Scale Data Platforms
Author - DataOrc
ELI5: What is ONDC and its developers' preview
Author - DataOrc
Massive Parallel Processing with Lambda functions and when not to use it.
Author - DataOrc
Scalable and Cost-effective ML Pipeline on Kubernetes
Author - DataOrc
How our own Serverless DataPlatform reduced AWS bill by 93 %
Author - DataOrc
Using Postgres as Queue to handle 100k EPS
Author - DataOrc
Building Petabyte Scale Data Platforms
Author - DataOrc
ELI5: What is ONDC and its developers' preview
Author - DataOrc
Massive Parallel Processing with Lambda functions and when not to use it.
Author - DataOrc
Scalable and Cost-effective ML Pipeline on Kubernetes
Author - DataOrc
How our own Serverless DataPlatform reduced AWS bill by 93 %
Author - DataOrc
Using Postgres as Queue to handle 100k EPS
Author - DataOrc
Building Petabyte Scale Data Platforms
Author - DataOrc
ELI5: What is ONDC and its developers' preview
Author - DataOrc
Massive Parallel Processing with Lambda functions and when not to use it.
Author - DataOrc
Scalable and Cost-effective ML Pipeline on Kubernetes
Author - DataOrc
How our own Serverless DataPlatform reduced AWS bill by 93 %
Author - DataOrc
Building Hyper Scaling WebSockets based Web Application
Author - DataOrc
Multidimensional Crawler
Author - DataOrc
Your First Data Platform
Author - DataOrc
Near Real-Time State Management of billion+ entities with just 3 Nodes
Collaborators
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Our Team
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Navdeep
Mayur Jadhav
Jai Dev
Ganesh Salunke
Abhilash Jadhav
Rohaan Ansari
Avneesh Atri
Pooja Agarwal
Vineet Kumar
Aditya Yadav
Aditya Patil
Harsh Sharma
Navdeep
Mayur Jadhav
Jai Dev
Ganesh Salunke
Abhilash Jadhav
Rohaan Ansari
Avneesh Atri
Pooja Agarwal
Vineet Kumar
Aditya Yadav
Aditya Patil
Harsh Sharma
We Support
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Can we help?
We're not just consultants—we're problem solvers. Whether you're facing complex technical challenges or need strategic guidance, we're here to listen, understand, and deliver solutions that work. Our focus is on addressing your unique needs with precision and efficiency, ensuring you achieve your goals without unnecessary hurdles. Let's tackle your toughest problems together.
Made with 🔥 in India.
© 2024 — Copyright
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Apache kylin, Apache Kafka, Apache Spark, Apache Hbase, Metabase, and the Apache Hudi are either registered trademarks or trademarks of The Apache Software Foundation.