Automated. Scalable. Efficient.
Let experts handle the complexity of integrating infrastructure, while you focus on implementing your product roadmap.
01
Create an Account
Register with our portal, and create your organization account
02
Create the Sync Relationship
Enter the credentials for SQL Server & Redis to create the sync relationship
03
Start Building
We start synchronizing SQL Server to Redis and provide REST APIs for your Backend
Backend API (Generated)
Unified DAL (Generated)
Frameworks & APIs
#1
Joins & Queries with multiple fields using Redis
#2
Truly Transparent Caching without manual coding & complex TTL schemes
#3
Reduce IO cycles on the cloud to significantly save $$$
#4
Expire/ Update Redis via Database Change Notifications
Industry Feedback
We spoke with Distinguished Engineers from all over the world about their experiences working with Databases & Redis. These engineers have worked in reputed companies, major open-source foundations, startups & large enterprises.
High Throughput and Low Latency: Many companies are using caching to improve the performance of their applications by reducing the load on their primary databases. This is particularly important for high-throughput environments where quick response times are critical.
Improving API Response Times: Caching can significantly enhance the performance of APIs by reducing the time required to process and return data.
Balancing Read and Write Operations: Efficiently managing read and write operations to prevent database deadlocks and ensure smooth performance.
Supporting AI & ML Workloads: Redis can be used to manage the data requirements of AI and ML models, providing quick access to the necessary data for training and inference.
Existing Implementations
We can pre-fetch cached data and keeping your cache up to date without the need for cache invalidation/ TTL. This greatly simplifies your code, while keeping your application responsive without hits to the database.
Push Clients
We can easily provide database change notifications very efficiently, to reduce complexity with multiple push clients & operations.
High Transaction Environments
Relational databases are effective for caching read-heavy queries but struggle with caching transactional data where Redis can provide significant benefits.
Legacy Applications
A lot of code change is required to introduce caching. Our platform makes it easier to implement caching by supporting joins and queries with multiple columns on Redis
What Tech leaders say
These are some of the things we learned during our discussions with engineers from all over the world.