Table Of Contents
The Rockset Transition: what you need to know
On June 21, 2024, Rockset announced its acquisition by OpenAI , setting off a countdown for many organizations using their database. If you’re a Rockset user, you’re now facing a critical deadline: September 30, 2024, at 17:00 PDT . By this date, all existing Rockset customers must transition off the platform. This sudden shift has left many companies scrambling to find suitable alternatives that can match Rockset’s performance in real-time analytics, business intelligence, and machine learning applications. At simplyblock, we understand the urgency and complexity of this situation, and we’re here to guide you through this transition.
Key Transition Points:
- Deadline : September 30, 2024, at 17:00 PDT
- Support : Available via email ( [email protected] ) or support tickets
- Support Hours : Monday – Friday, 7am – 5pm PDT (San Francisco time)
- Rockset FAQ : For more information on the transition
Top Rockset Alternatives: Finding your Perfect Match
As you navigate this transition, it’s crucial to find a solution that not only matches Rockset’s capabilities but also aligns with your specific use cases. Here are some top alternatives, along with how simplyblock can enhance their performance:
1. ClickHouse : the OLAP Powerhouse
ClickHouse is an open-source, column-oriented DBMS that excels in online analytical processing (OLAP) and real-time analytics.
simplyblock benefit : Our NVMe-based block storage significantly boosts ClickHouse’s already impressive query performance on large datasets, making it even more suitable for high-throughput analytics workloads.
2. StarTree : Real-Time Analytics at Scale
Built on Apache Pinot, StarTree is designed for real-time analytics at scale, making it a strong contender for Rockset users.
simplyblock benefit: StarTree’s distributed architecture pairs perfectly with our block storage, allowing for faster data ingestion and query processing across nodes.
3. Qdrant : Vector Similarity Search Engine
Qdrant is a vector similarity search engine designed for production environments, ideal for machine learning applications.
simplyblock benefit: Our storage solution dramatically reduces I/O wait times for Qdrant, enabling even faster vector searches on large datasets.
4. CrateDB : Distributed SQL with a Twist
CrateDB is an open-source distributed SQL database with built-in support for geospatial and full-text search.
simplyblock benefit: simplyblock enhances CrateDB’s distributed nature, allowing for faster data distribution and replication across nodes.
5. Weaviate : the Versatile Vector Database
Weaviate is an open-source vector database that supports various machine learning models and offers GraphQL-based queries.
simplyblock benefit: Our block storage solution enhances Weaviate’s performance, especially for write-intensive operations and real-time updates to vector indexes.
Additional Alternatives Worth considering
While the above options are our top picks, several other databases deserve mention: MongoDB Atlas : Flexible document database with analytics capabilities Redis Enterprise Cloud : In-memory data structure store, ideal for caching and real-time data processing CockroachDB : Distributed SQL database offering strong consistency Neo4j Graph Database : Specialized for handling complex, interconnected data Databricks Data Intelligence Platform : Comprehensive solution for big data analytics and ML YugabyteDB : Combines SQL and NoSQL capabilities in a distributed database
How Simplyblock Enhances your new Data Setup
Regardless of which alternative you choose, simplyblock’s NVMe-based block storage engine can significantly enhance your new data infrastructure:
- Reduced I/O Wait Times : Cut down on data access latency, crucial for real-time analytics. 2. Optimized for High-Concurrency : Handle numerous concurrent queries efficiently, perfect for busy BI dashboards. 3. AWS Compatibility : Seamlessly integrate with your existing AWS infrastructure. 4. Scalability : Maintain high performance as your data volumes grow. 5. Cost-Efficiency : Improve storage performance to potentially reduce overall resource needs and lower cloud costs.
Use Cases we Support
Our solution is versatile and can support a wide range of data-intensive applications, including: Real-time dashboards and analytics Business intelligence (BI) Data warehouse speed layer Logging and metrics analysis Machine learning (ML) and data science applications Vector similarity search
Conclusion: Turning Challenge into Opportunity
While the Rockset transition poses significant challenges, it also presents an opportunity to optimize your data infrastructure. By pairing your chosen alternative with simplyblock’s high-performance block storage, you can create a robust, efficient, and future-proof analytics solution.
As you evaluate these options, our team is ready to provide insights on leveraging simplyblock with your new data platform. We’re committed to helping you not just migrate, but upgrade your data capabilities in the process.
Remember, the September 30th deadline is approaching rapidly. Start your migration journey today, and let simplyblock help you build a data setup that outperforms your expectations.
How can Simplyblock be used on AWS?
simplyblock offers high-performance cloud block storage that not only enhances the performance of your databases and applications but also brings cost efficiency. Most importantly, simplyblock storage cluster is based on EC2 instances with local NVMe disks, which qualify for AWS Savings Plans and Reservation Discounts. This means you can leverage simplyblock’s technology while also fulfilling your compute commitment to AWS. Such solution extends AWS compute savings plan to storage . It’s a win-win situation for AWS users seeking performance, scalability, and cost-effectiveness for fast NVMe-based storage.
Simplyblock uses NVMe over TCP for minimal access latency, high IOPS/GB, and efficient CPU core utilization, surpassing local NVMe disks and Amazon EBS in cost/performance ratio at scale. Moreover, simplyblock can be used alongside AWS EDP or AWS Savings Plans.
Ideal for high-performance Kubernetes environments, simplyblock combines the benefits of local-like latency with the scalability and flexibility necessary for dynamic AWS EKS deployments , ensuring optimal performance for I/O-sensitive workloads like databases. Using erasure coding (a better RAID) instead of replicas helps to minimize storage overhead without sacrificing data safety and fault tolerance.
Additional features such as instant snapshots (full and incremental), copy-on-write clones, thin provisioning, compression, encryption, and many more, simplyblock meets your requirements before you set them. Get started using simplyblock right now or learn more about our feature set . Simplyblock is available on AWS marketplace .