DBMS > FoundationDB vs. Google Cloud Bigtable
System Properties Comparison FoundationDB vs. Google Cloud Bigtable
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|Editorial information provided by DB-Engines|
|Name||FoundationDB Xexclude from comparison||Google Cloud Bigtable Xexclude from comparison|
|Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.|
|Description||Ordered key-value store. Core features are complimented by layers.||Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.|
|Primary database model||Document store supported via specific layer|
Relational DBMS supported via specific SQL-layer
Wide column store
|Current release||6.2.28, November 2020|
|License Commercial or Open Source||Open Source Apache 2.0||commercial|
|Cloud-based only Only available as a cloud service||no||yes|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Linux|
|Data scheme||schema-free some layers support schemas||schema-free|
|Typing predefined data types such as float or date||no some layers support typing||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||supported in specific SQL layer only||no|
|APIs and other access methods||gRPC (using protocol buffers) API|
HappyBase (Python library)
HBase compatible API (Java)
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||in SQL-layer only||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Internal replication in Colossus, and regional replication between two clusters in different zones|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes|
|Consistency concepts Methods to ensure consistency in a distributed system||Linearizable consistency||Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)|
|Foreign keys Referential integrity||in SQL-layer only||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||Atomic single-row operations|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no|
|User concepts Access control||no||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)|
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|FoundationDB||Google Cloud Bigtable|
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