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We are thrilled to announce the launch of cron-based scheduling for Notebooks in SingleStore! This highly requested feature gives you unprecedented control over when your Notebooks run, allowing you to schedule workloads with pinpoint accuracy.
ingleStore Flow transforms the arduous task of data migration and continuous data capture (CDC) into a seamless experience. With just a few clicks, you can transfer data from numerous sources like Oracle, SQL Server, MySQL, PostgreSQL and Snowflake into your SingleStore database in real time.
Last year in August, we quietly rolled out general availability to Aura Container service, giving users a more flexible, optimized solution that can be used for workloads with varying computation requirements — including agentic AI and intelligent applications.
In modern F1, each car is essentially a data center on wheels, generating massive amounts of real-time telemetry data during every session — practice, qualifying and the race. This blog breaks down how data is generated, simulating these conditions and modeling analytics behavior in SingleStore.
We’re excited to launch our open-source MCP server for SingleStore, enabling AI-driven database management. Now, users can interact with their SingleStore instances, like retrieving data, managing workspaces and running queries, simply by chatting with AI assistants like Claude or Cursor.
A recent virtual roundtable with industry leaders developing the next generation of martech, adtech and salestech products provided valuable insights into the challenges and opportunities for those building platforms that power marketing and sales strategies worldwide.
In this blog, we’ll explore how to approach migrating a legacy data warehouse using Edward de Bono’s Six Thinking Hats framework, augmented with modern AI tools, and highlight why SingleStore is an ideal choice for such a migration.
After experiencing a blobs-deletion incident in SingleStore Managed Service, we tested and verified all the options around Soft-Delete and Versioning provided by Azure ensuring we reached the correct configuration of our bottomless and backup buckets.