With Rockset's acquisition by OpenAI, many Rockset customers need to offboard their applications by September 30, 2024. And we're here to make sure your Rockset migration goes smoothly.
SingleStore is a reliable real-time analytics database for intelligent, customer-facing applications. And if you're looking for a Rockset alternative that delivers even better performance — without sacrificing connectivity, unstructured data support or complex, low-latency analytics — you've come to the right place.
Additionally, SingleStore is offering all Rockset customers that choose to migrate to SingleStore on Google Cloud a one-time credit if the migration is completed before September 30, and SingleStore is purchased through the Google Cloud Marketplace.
SingleStore offers the features Rockset users rely on:
- Real-time analytics. SingleStore Pipelines provide parallelized, high-throughput data ingestion from distributed data sources with immediate queryability of all your relational, JSON, time-series, key-value and geospatial data.
- Low-latency queries. SingleStore serves single-digit millisecond queries with SIMD vectorization and efficient, distributed JOINs.
- Horizontal scalability. SingleStore horizontally scales concurrency, allowing your application to grow while delivering rich, interactive user experience.
- Hybrid search. SingleStore supports both ANN vector search and full-text search. Its powerful SQL interface enables using filters, aggregations and joins for true hybrid search.
- Connectivity. SingleStore Pipelines enables parallel ingest from MySQL, Postgres, MongoDB® and more with just five lines of SQL.
- Support for unstructured data. Native JSON query support to do point lookups and large-scale aggregations using our robust seekable JSON features. Check out this blog from Heap.
- Full-text search. SingleStore not only provides full-text search via the SEARCH function, it also provides much richer search functionality with support for Java-based Lucene full-text search with the recent release of SingleStore v8.7.
Vector search. SingleStore provides vector search with a broad choice of indexing algorithms. SingleStore supports vector indexing with advanced algorithms like HSNW and IVF_PQ, and you can combine indexed vector search with full-text indexing. You can also combine vector search with queries over other data types, including JSON, time-series, full-text, spatial and key-value data. SingleStore includes both exact K Nearest Neighbor (KNN) and indexed Approximate Nearest Neighbor (ANN). Provided distance metrics include dot product and Euclidean distance.
SingleStore and Google Cloud: The ideal platform for your AI workloads
Simple deployment
SingleStore is available via the Google Cloud Marketplace. In just a few clicks, you can have a SingleStore cluster running and ready for your most demanding workloads.
Historical, real time and predictive data
SingleStore with Google Cloud BigQuery provides an ideal joint platform for meeting all your data needs. SingleStore’s high-performance database allows you to perform real-time analytics on up-to-the-second data being generated by your transactional systems. When real-time data is critical for use cases like fraud detection or traffic routing, SingleStore provides response times as fast as single digit millisecond.
For aggregated metrics over time, BigQuery provides a serverless, scalable, cost effective and highly performant data warehouse. And BQML allows users to build and deploy machine learning models for predictive analytics with simple SQL commands.
Industry-leading AI platform
Vertex AI is Google Cloud’s fully managed, unified AI development platform for building and using generative AI. Access and utilize Vertex AI Studio, Agent Builder and 150+ foundation models including Gemini 1.5 Pro and Gemini 1.5 Flash. SingleStore can be used as a data source as well as a vector store for building enterprise-grade gen AI apps. Your gen AI apps can use the models most appropriate for your use case along with Retrieval Augmented Generation (RAG) to ground your models with trusted, up-to-date business data.
Enterprise-grade analytics
SingleStore is fully supported by Looker, Google Cloud’s flagship Business Intelligence Platform. Go beyond traditional dashboards and reports using Looker’s Embedded analytics and API. Bring analytics into the tools that your users are already working with via embedding, or build completely custom data applications using Looker’s full-featured API. Looker's modeling layer ensures your users are accessing trusted, governed data, which opens the door for self-service analytics using Looker or Looker Studio. And Looker’s AI Assistant helps accelerate analytical workflows.
Incentives
SingleStore is offering all Rockset customers that choose to migrate to SingleStore on Google Cloud a one-time credit if the migration is completed before September 30, and SingleStore is purchased through the Google Cloud Marketplace.
Conclusion
Migrating from Rockset to SingleStore on Google Cloud is not just a necessity due to Rockset's acquisition, but an opportunity to enhance your application's performance and capabilities.
“As a premier Google Cloud Build partner, we are pleased to work with SingleStore so Rockset customers can ensure business continuity across their critical applications during the migration period, while having an opportunity to take full advantage of Google Cloud’s advanced infrastructure, analytics and AI capabilities,” says Rayn Veerubhotla, Managing Director, Partner Engineering at Google.
SingleStore offers a seamless transition with superior real-time analytics, low-latency queries, horizontal scalability and robust support for both structured and unstructured data. With the added benefits of easy deployment via Google Cloud Marketplace, the powerful combination of SingleStore and BigQuery for comprehensive data needs, and the industry-leading AI platform Vertex AI, your applications will be well-equipped to handle the most demanding workloads.
