DBMS > Amazon SimpleDB vs. BigchainDB vs. Google Cloud Bigtable
System Properties Comparison Amazon SimpleDB vs. BigchainDB vs. Google Cloud Bigtable
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|Editorial information provided by DB-Engines|
|Name||Amazon SimpleDB Xexclude from comparison||BigchainDB Xexclude from comparison||Google Cloud Bigtable Xexclude from comparison|
|Description||Hosted simple database service by Amazon, with the data stored in the Amazon Cloud. There is an unrelated product called SimpleDB developed by Edward Sciore||BigchainDB is scalable blockchain database offering decentralization, immutability and native assets||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||Key-value store||Document store||Key-value store|
Wide column store
|License Commercial or Open Source||commercial||Open Source AGPL v3||commercial|
|Cloud-based only Only available as a cloud service||yes||no||yes|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||Linux||hosted|
|Typing predefined data types such as float or date||no||no||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||no|
|Secondary indexes||yes All columns are indexed automatically||no|
|SQL Support of SQL||no||no||no|
|APIs and other access methods||RESTful HTTP API||CLI Client|
RESTful HTTP API
|gRPC (using protocol buffers) API|
HappyBase (Python library)
HBase compatible API (Java)
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||no||no|
|Partitioning methods Methods for storing different data on different nodes||none Sharding must be implemented in the application||Sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||selectable replication factor||Internal replication in Colossus, and regional replication between two clusters in different zones|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||yes|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
Immediate Consistency can be specified for read operations
|Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)|
|Foreign keys Referential integrity||no||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no Concurrent data updates can be detected by the application||Atomic single-row operations|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes,with MongoDB ord RethinkDB||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||Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)||yes||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)|
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|Amazon SimpleDB||BigchainDB||Google Cloud Bigtable|
|DB-Engines blog posts|
The popularity of cloud-based DBMSs has increased tenfold in four years
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