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SingleStore (MemSQL) Support: General Availability — ADOC 26.3.0

End-to-end data observability for real-time, high-performance databases — production-ready and fully supported.

April 14, 2026

Acceldata's support for SingleStore — formerly known as MemSQL — is now General Availability (GA) as part of the 26.3.0 release. After a successful preview period with extensive testing coverage, SingleStore now joins Acceldata's supported connectors, giving data teams full confidence in monitoring and validating their real-time data environments.

SingleStore is built for speed: a distributed, high-performance SQL database designed for real-time analytics and transactions. But with speed comes complexity — and data issues in a real-time system don't wait. They propagate instantly, making observability not just useful, but essential.

Why This Matters

Organizations running SingleStore face a unique challenge: the very capabilities that make it powerful — fast ingestion, low-latency queries, horizontal scale — also mean that data problems can impact decisions in seconds. Manual monitoring simply can't keep up.

With Acceldata's GA support for SingleStore, your teams get:

  • Continuous pipeline monitoring with automated quality checks
  • Fast root cause analysis to reduce debugging time
  • Validated data movement across systems with built-in reconciliation
  • Schema and data drift detection before upstream changes silently break pipelines

What's Included in GA

Acceldata delivers broad, deep observability across every stage of the SingleStore data lifecycle:

Data Crawling & Discovery

Full, pushdown-based, and SQL View crawling give complete visibility into your SingleStore datasets with minimal performance overhead.

Flexible Data Profiling

Full, selective, and incremental profiling via both Spark and pushdown execution — so you can efficiently profile large datasets while optimizing compute usage.

Advanced Data Quality Monitoring

Rule-based and SQL-based validations, custom filters, anomaly detection, and UDF support enable a robust quality framework that catches issues before they reach downstream systems.

Data Reconciliation

Full and incremental reconciliation with row count validation, data equality checks, and good vs. bad record identification — critical for validating data movement between systems.

Drift Detection

Automatic detection of schema evolution and data distribution changes — keeping your pipelines safe even as upstream systems change.

Deep Data Exploration

Sample data extraction, exploratory analysis, special character detection, and column-level controls help teams quickly investigate issues and understand data behavior.

Available Now

SingleStore (MemSQL) GA support is available as part of the Acceldata 26.3.0 release. If you're currently running SingleStore in preview, no migration steps are required — your configuration carries forward into the fully supported GA tier.

Ready to get started? Reach out to your Acceldata Customer Success contact or visit the documentation portal to explore the full SingleStore connector capabilities.

SingleStore (MemSQL) is now fully represented in Acceldata's metrics accelerator, with comprehensive automated test coverage aligned to Acceldata's GA connector standard.

About Author

Shubham Thakur

Shubham Thakur is a Product Marketing Manager at Acceldata, where she leverages her background as a Data Practitioner to create impactful, data-focused marketing strategies. With a robust blend of marketing acumen and data-driven decision-making, she excels at navigating complex challenges and fostering innovation. Outside of work, Shubham enjoys traveling and engaging in recreational activities. She is a strong advocate for maintaining a mind-body balance to support overall well-being

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