Converged Database Providing DRAM Level Throughput and P99.99 Latency with NVMe SSD and Low Cost Cloud Object Storage
EloqKV is a Redis API compatible data store. By keeping hot data on NVMe instead of DRAM, EloqKV provides fully in-memory level throughput and P99.99 tail latency with 10X cost savings.
More than just a cache solution, EloqKV is designed for durability and consistency with a distributed architecture built for the agent era.
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EloqDoc is a MongoDB API compatible JSON document store that replaces EBS with local NVMe for performance and object storage for durability. By eliminating the high cost of IO and data storage of cloud block volumes, EloqDoc provides 10X IOPS and S3 level durability at one-tenth the cost of competitor's solutions.
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AI applications deal with many different data types: vector, tabular, cache, document, and graph. Storing data in multiple databases creates complexity and consistency hell. EloqData Converged DB supports multiple data models and executes cross-model ACID transactions, eliminating inconsistency and simplify operations.
Agents execute against verifiable, consistent state at all times.
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GIT-like behavior on TB scale datasets. Constant time branching, constant time rollbacks.
Agents need production-grade data, not mock replicas. EloqData spins up branches in seconds so agents can explore, simulate, and reason without risking production data.
Today's enterprises may need to quickly scale up capacity as demand increases. Traditional database solutions often force users to choose between efficient un-scalable solution or inefficient distributed solution. EloqData breaks this tradeoff by providing a truly scalable architecture that maintains high efficiency at small scale while enabling seamless scaling to thousands of nodes.
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EloqCloud is audited against SOC 2 controls, so you can deliver modern data experiences with confidence that your customers' information stays protected.
Let's build the next generation of databases for the AI age together