Is your Database holding Growth Hostage?
Scale effortlessly – No more expensive hardware upgrades or all-night tuning sessions.
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We have been in your shoes
High Disk I/O makes even open-source DBs expensive
DB optimization is not feasible, while the next tier is 2x expensive
DBAs are stretched thin just keeping up with the day-to-day.
Urgent features seem to be six months away forever.
- Cache implementation is a painstaking, imperfect, manual process.
- You don't have the cash to pay for more/ better engineers.
- You can barely make ends meet with your existing users.
Database performance has a threshold
Speed of data retrieval from disk has a threshold for all databases. There’s a limit to how far one can optimize application data models and queries to improve database latency and performance. Beyond that, squeezing out more performance is not possible. Assigning more resources or upgrading to better hosts with higher performance has limitations, where the database engine becomes a bottleneck. We didn’t say any of this!
Key Findings
We still write backend code using decades old, familiar techniques. Meanwhile, data access techniques have not evolved beyond stored procedures and ORM tools.
RDBMS is a dead-end
The features that gave you ACID compliance have made them unsuitable for modern workloads.
NoSQL is not the solution
Even NoSQL databases are limited by their inherent disk-optimized design.
The Cloud is not cheap
Companies that achieve product-market fit, fail when expenses exceed revenue.
Scaleup is expensive
Public Cloud companies make billions on elastic scalability & serverless computing. Even IO cycles cost money.
Redis takes time & effort
From startups to large enterprises, it takes everyone a long time to learn how to use it effectively.
CRUD takes a lot of work
Manually writing code for basic database operations and integrating caching w/ TTL in a consistent manner to avoid spaghetti code is challenging.
A Weak Foundation
Because applications are handwritten using unreusable, custom code, they become obsolete over time. The only opportunity to make significant improvements are at the get-go because changing anything later can break everything. What if the foundation for every app was reusable, and could independently evolve over time?
50x
Cyclomatic complexity per function/ module
20%
Technical Debt Ratio (TDR) in large apps
20
Typical number of defects per KLOC
3
Seconds or more latency is the norm, but considered slow
Learn more about our solution
Our mission is to advance data-driven Software Development by fundamentally reimagining it, leveraging decades of industry experience to transcend current limitations and challenges.