Distributed Strong ACID
Regatta’s innovative concurrency-control protocol in combination with its advanced distributed mechanisms deliver strong transactions in large clusters at high performance. Uniquely, Regatta guarantees strong ACID across the entire cluster – for both structured and semi-structured data.
High Performance and Efficiency
Regatta delivers extreme performance by both maximizing individual nodes' performance and leveraging cluster-wide resources. Regatta uses RAM, CPU, disk, and network as leanly as possible, which not only improves execution performance time, but also keeps total costs down.
Powerful yet Easy to Use
Regatta provides users a feature-rich, powerful yet simple experience. Application developers can focus on business logic only, and safely ignore data infra challenges, race conditions, corner cases, or any other issues traditionally associated with databases, ETL processes, and data warehouses.
Real-time OLAP and OLTP
Execute analytics alongside fast transactions and/or massive data ingress. Queries operate on real-time consistent data – that is distributed across the cluster – without blocking transactions in any way. Regatta aggregates compute resources across the cluster to significantly shorten query completion times.
Total Elasticity
Regatta allows you to start with your “best guess” without prior capacity planning and to fine-tune later, on-the-fly, based on actual workloads. Easily add or remove nodes and devices, or change any rules and settings – following which Regatta takes the necessary actions to non-disruptively rebalance accordingly.
Linearly Scalable Performance
Regatta’s distributed and parallel algorithms exploit cluster-wide resources to deliver linearly scalable performance for both transactional and analytical operations. Adding more nodes and resources increases overall transaction rates and accelerates lengthy queries' completion times.
Distributed SQL
Use standard SQL to build, scale, and maintain your applications with a familiar interface. Standard SQL helps maximize application code portability at no or minimal efforts.
Enterprise-grade Resiliency
Regatta guarantees no-compromise, robust, state-of-the-art high availability and resilience of both compute and data. Regatta’s autohealing ensures both local high availability and geographical multi-site disaster-recovery.
Hyper-scalable Cluster
Regatta clusters scale from a single node to tens of thousands of nodes with hundreds of petabytes of data. Unlike traditional scale-out sharding, all of Regatta’s functionality – whether transactional or analytical – is always fully supported across the entire cluster, regardless of how data is distributed across the nodes.
Rich Unified Data Model
Regatta’s relational data model naturally expands to include NoSQL-like data expressiveness. Cells can contain a single value but also structures, nested structures, and containers such as lists and arrays with a dynamic number of elements – delivering capabilities generally associated with the likes of JSON, XML, and YAML.
Agentic AI
Regatta natively stores vectors alongside operational data and rich metadata in the same record. Semantic searches can use both IVF and HNSW indexes, supporting both Approximate and Exact Nearest Neighbor methods. Deliver dramatically faster results by combining semantic search with distributed SQL queries.
Regatta’s innovative concurrency-control protocol in combination with its advanced distributed mechanisms deliver strong transactions in large clusters at high performance. Uniquely, Regatta guarantees strong ACID across the entire cluster – for both structured and semi-structured data.
High Performance and Efficiency
Regatta delivers extreme performance by both maximizing individual nodes' performance and leveraging cluster-wide resources. Regatta uses RAM, CPU, disk, and network as leanly as possible, which not only improves execution performance time, but also keeps total costs down.
Powerful yet Easy to Use
Regatta provides users a feature-rich, powerful yet simple experience. Application developers can focus on business logic only, and safely ignore data infra challenges, race conditions, corner cases, or any other issues traditionally associated with databases, ETL processes, and data warehouses.
Real-time OLAP and OLTP
Execute analytics alongside fast transactions and/or massive data ingress. Queries operate on real-time consistent data – that is distributed across the cluster – without blocking transactions in any way. Regatta aggregates compute resources across the cluster to significantly shorten query completion times.
Total Elasticity
Regatta allows you to start with your “best guess” without prior capacity planning and to fine-tune later, on-the-fly, based on actual workloads. Easily add or remove nodes and devices, or change any rules and settings – following which Regatta takes the necessary actions to non-disruptively rebalance accordingly.
Linearly Scalable Performance
Regatta’s distributed and parallel algorithms exploit cluster-wide resources to deliver linearly scalable performance for both transactional and analytical operations. Adding more nodes and resources increases overall transaction rates and accelerates lengthy queries' completion times.
Distributed SQL
Use standard SQL to build, scale, and maintain your applications with a familiar interface. Standard SQL helps maximize application code portability at no or minimal efforts.
Enterprise-grade Resiliency
Regatta guarantees no-compromise, robust, state-of-the-art high availability and resilience of both compute and data. Regatta’s autohealing ensures both local high availability and geographical multi-site disaster-recovery.
Hyper-scalable Cluster
Regatta clusters scale from a single node to tens of thousands of nodes with hundreds of petabytes of data. Unlike traditional scale-out sharding, all of Regatta’s functionality – whether transactional or analytical – is always fully supported across the entire cluster, regardless of how data is distributed across the nodes.
Rich Unified Data Model
Regatta’s relational data model naturally expands to include NoSQL-like data expressiveness. Cells can contain a single value but also structures, nested structures, and containers such as lists and arrays with a dynamic number of elements – delivering capabilities generally associated with the likes of JSON, XML, and YAML.
Agentic AI
Regatta natively stores vectors alongside operational data and rich metadata in the same record. Semantic searches can use both IVF and HNSW indexes, supporting both Approximate and Exact Nearest Neighbor methods. Deliver dramatically faster results by combining semantic search with distributed SQL queries.