

Amazon Web Services, which added new capabilities to its Aurora scale-out relational database last year, said this week it is including an “Undo” option with the production platform.
The Amazon Aurora Backtrack feature “is as close as we can come, given present-day technology, to an Undo option for reality,” Jeff Barr, chief evangelist at AWS, explained in announcing the upgrade in a blog posted Thursday (May 10).
The backtrack feature is enabled when launching a new Aurora database clusters. Enabling the feature involves specifying how far back in time to “rewind,” Barr explained. The feature then “will try to retain enough log information to support that window of time” up to 72 hours, according to the backtrack configuration settings page.
Aurora uses a log-structured storage system in which each change in a database generates a new log record. AWS said enabling the backtrack feature provisions a first-in, first-out buffer in the cluster to store the resulting log sequence numbers. “This allows for quick access and recovery times measured in seconds,” Barr said.
In most cases, a database cluster would rewind to a point in time just before an error occurred. The database cluster would then be restored to the previous, stable state without creating a new cluster. Among the use cases are restoring a test database after running tests that make changes in the database, Barr added.
AWS said the Aurora Backtrack feature is available now in all AWS regions supporting Amazon Aurora. Barr noted that backtrack feature applies to newly deployed MySQL-compatible Aurora database clusters and MySQL-compatible clusters restored from a backup. Users must then “opt-in” when creating or restoring a cluster. “You cannot enable it for a running cluster,” Barr noted.
Last fall, the cloud giant (NASDAQ: AMZN) added support for multiple Aurora availability zones for database reads and writes. It also added support in multiple regions for its globally distributed databases.
Recent items:
AWS Unleashes a Torrent of New Data Services
May 2, 2025
- Meta Collaborates with Cerebras to Drive Fast Inference for Developers in New Llama API
- Coalesce Honors Data Leaders Driving Innovation with 2025 GOAT Awards
- Boomi Expands DataHub with Unified Command Center for Cross-Platform Data Management
- LlamaIndex Announces Investments from Databricks and KPMG LLP
- BigID Launches End-to-End Data Lifecycle Management to Tackle AI and Compliance Risks
May 1, 2025
- Adastra Named AWS Data Foundation Partner, Helping Organizations Ready Their Data for GenAI
- Treasure Data Achieves Google Cloud Ready – BigQuery Designation
- Linux Foundation Expands AI Tooling with 3 IBM-Backed Open Source Projects
- GigaIO Partners with d-Matrix to Deliver Ultra-Efficient Scale-Up AI Inference Platform
- Precisely: New Global Research Reveals Key Observability Trends and Challenges for AI Innovation
- GridGain Sponsors Leading Data, Analytics and AI Industry Events
- Astronomer Secures $93M Series D Funding to Deliver Unified DataOps Platform for Enterprise AI
- Fivetran Signs Agreement to Acquire Census
- Akka Launches New Deployment Options for Agentic AI at Scale
April 30, 2025
- LogicMonitor Expands AI Observability Platform with Agentic AIOps and New Partnerships
- KNIME Turns Enterprise Data into Action, Demonstrates Custom AI Agents
- Pythian Boosts Global Data and AI Services with Rittman Mead Integration
- Collibra Harris Poll Finds 86% of Data Leaders Cite Privacy as Top Concern Amid AI Adoption
- StarTree Adds AI-Native MCP and Vector Embedding to Power Real-Time RAG and Agentic Apps
- DDN and Nebius Partner to Deliver Scalable AI Infrastructure for Enterprise Applications
- PayPal Feeds the DL Beast with Huge Vault of Fraud Data
- Thriving in the Second Wave of Big Data Modernization
- OpenTelemetry Is Too Complicated, VictoriaMetrics Says
- Google Cloud Preps for Agentic AI Era with ‘Ironwood’ TPU, New Models and Software
- Google Cloud Fleshes Out its Databases at Next 2025, with an Eye to AI
- Slash Your Cloud Bill with Deloitte’s Three Stages of FinOps
- Can We Learn to Live with AI Hallucinations?
- Monte Carlo Brings AI Agents Into the Data Observability Fold
- The Active Data Architecture Era Is Here, Dresner Says
- AI Today and Tomorrow Series #4: Frontier Apps and Bizops
- More Features…
- Google Cloud Cranks Up the Analytics at Next 2025
- Snowflake Bolsters Support for Apache Iceberg Tables
- AI One Emerges from Stealth to “End the Data Lake Era”
- GigaOM Report Highlights Top Performers in Unstructured Data Management for 2025
- SnapLogic Connects the Dots Between Agents, APIs, and Work AI
- Supabase’s $200M Raise Signals Big Ambitions
- Dataminr Bets Big on Agentic AI for the Future of Real-Time Data Intelligence
- Big Data Career Notes April 2025
- Dremio Speeds AI and BI Workloads with Spring Lakehouse Release
- New Intel CEO Lip-Bu Tan Promises Return to Engineering Innovation in Major Address
- More News In Brief…
- Gartner Predicts 40% of Generative AI Solutions Will Be Multimodal By 2027
- AMD Powers New Google Cloud C4D and H4D VMs with 5th Gen EPYC CPUs
- GitLab Announces the General Availability of GitLab Duo with Amazon Q
- BigDATAwire Unveils 2025 People to Watch
- Dataminr Raises $100M to Accelerate Global Push for Real-Time AI Intelligence
- SAS Partners with Kansas State to Advance AI-Driven Water Management
- SoftServe Partners with Google Cloud to Accelerate Agentic AI and Data Initiatives
- DataChat Achieves Google Cloud Ready – BigQuery Designation
- Denodo Powers Data Fabric for LG U+ Network Division Modernization
- Informatica Adds Native Databricks and Enhanced Governance to IDMC on Google Cloud
- More This Just In…