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Escape the boundaries imposed by legacy databases with a data API that is simple to adopt, highly productive to use, and offers the capabilities that your business needs, without the operational pain typically associated with databases. | Speedb’s Log-Structured Merge (LSM)-based key value store supports petabyte scaling of datasets with billions of objects, while maintaining high performance and low hardware requirements. It is based on a patented compaction method that reduces the write amplification factor (WAF) up to 6X and adds enhancements that eliminate latency issues and IO stalls. |
Native support for GraphQL and others. Easily access any data with any API. No middleware necessary.;
Access all data via a data model that best suits your needs - relational, document, graph or composite.;
A unique approach to indexing makes it simpler to write efficient queries that scale with your application.;
Build SaaS apps more easily with native multi-tenancy and query-level QoS controls to prevent workload collisions.;
Eliminate data anomalies with multi-region ACID transactions that don't limit number of keys or documents.;
Data-driven RBAC that combines with SSL to offers reliable protection, and yet is simple to understand and codify.;
Travel back in time with temporal querying. Run queries at a point-in-time or as change feeds. Track how your data evolved.;
Dynamically replicates your data to global locations, so that your queries run fast no matter where your users are.;
Easily deploy a FaunaDB cluster on your workstation accompanied by a powerful shell and tools to simplify your workflow.;
| RocksDB Compliant - Speedb is a drop-in replacement solution for RocksDB;
Supports petabyte-scale datasets with no shards;
Handles billions of objects while maintaining high performance;
Improves write amplification and eliminates I/O hangs on writes while optimizing resource footprint;
Reduces management overhead by allowing applications to run on a single database – even with billions of objects – while maintaining high performance;
Minimizes CPU and memory usage to handle more data and achieve scalability while reducing storage and networking costs;
Frees developers from having to constantly deal with database tuning and other time-consuming operational tasks, so they can focus on delivering real business value;
Supports services and bespoke customization to meet use-case specific requirements and achieve faster time-to-market |
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Stacks 112 | Stacks 7 |
Followers 153 | Followers 9 |
Votes 27 | Votes 0 |
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