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Speedb System Properties
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|Editorial information provided by DB-Engines|
|Description||An embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB|
|Primary database model||Key-value store|
|License Commercial or Open Source||Open Source Apache Version 2.0; commercial license available|
|Cloud-based only Only available as a cloud service||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Linux|
|Typing predefined data types such as float or date||no|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no|
|SQL Support of SQL||no|
|Supported programming languages||C|
|Server-side scripts Stored procedures||no|
|Partitioning methods Methods for storing different data on different nodes||horizontal partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||yes|
|MapReduce Offers an API for user-defined Map/Reduce methods||no|
|Foreign keys Referential integrity||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||yes|
|Concurrency Support for concurrent manipulation of data||yes|
|Durability Support for making data persistent||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes|
|User concepts Access control||no|
|More information provided by the system vendor|
Speedb is an embedded key-value storage engine for versatile use cases. It was designed to be a drop-in replacement for RocksDB, continuously rebasing on RocksDB's latest versions and innovating with valuable features for improved application performance, better operational usability, and resource management. Speedb OSS is a community project, with a vibrant open-source community, that shares knowledge among RocksDB/Speedb developers and users on Discord: https://discord.com/invite/5fVUUtM2cG.
Speedb Enterprise was designed to support mission-critical, heavy-write applications. By removing capacity, performance, and scale limitations, it supports petabyte scaling of datasets with billions of objects while maintaining high performance and low hardware requirements.
|Licensing and pricing models|
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|Recent citations in the news|
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