The document outlines the challenges of creating applications from complex data due to the need for intricate data pipelines and various data formats. It introduces Rockset, a serverless search and analytics engine that allows users to query raw, structured, and semi-structured data easily using SQL. The focus is on simplifying the process from data ingestion to application development without the need for a fixed schema.

1. Version 1.0
Build Applications Without Pipelines:
Shortest Path from Complex Data to
Live Applications
Anirudh Ramanathan
Product Engineering @ Rockset

2. Getting from Data to Apps Is Hard!
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Web/Mobile
Email/Docs
Sensors
OLTP
Social Data Lake
Dashboards
Notebooks
Apps
Multiple data sources + different data formats require complicated data pipelines

3. But data pipelines are difficult to
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3 Manage
● Schema changes
● New sources
● App iterations
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4 Scale
● Data spikes
● Server & storage sizing
Set up
● Data preparation
● Schema modelling
Use
● Multiple data stores
● Different query languages

4. Rockset is a serverless search and analytics engine
that provides fast SQL directly on raw data for
operational apps and interactive data science
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5. 5
Shortest Path from Data to Applications

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Start with raw data
Data of any structure—JSON, XML, CSV, Parquet, structured
From real-time streams, data lakes, databases, and data warehouses

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Ingest
No fixed schema needed
Continuous sync of new
data from data sources
Query Build
Use familiar SQL across
both structured and
semi-structured data
Serve fast queries at
scale to power your
apps

8. Demo
Building a Serverless Microservice
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9. Disaggregated, Cloud-Native Architecture
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Continuous
Ingest
Real-time
Indexing
Distributed
SQL Engine

10. Smart Schemas
● Fast strongly typed queries run against
indexes
● Each value has a type information
associated with it
● Unnest nested data while keeping
original structure in index
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Other Use Cases

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Get Started Free

13. Thank You
Anirudh Ramanathan anirudh@rockset.com
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