DBMS > BigchainDB vs. Google Cloud Datastore vs. SAP SQL Anywhere
System Properties Comparison BigchainDB vs. Google Cloud Datastore vs. SAP SQL Anywhere
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|Editorial information provided by DB-Engines|
|Name||BigchainDB Xexclude from comparison||Google Cloud Datastore Xexclude from comparison||SAP SQL Anywhere formerly called Adaptive Server Anywhere Xexclude from comparison|
|Description||BigchainDB is scalable blockchain database offering decentralization, immutability and native assets||Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform||RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments|
|Primary database model||Document store||Document store||Relational DBMS|
|Developer||SAP formerly Sybase|
|Current release||17, July 2015|
|License Commercial or Open Source||Open Source AGPL v3||commercial||commercial|
|Cloud-based only Only available as a cloud service||no||yes||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Linux||hosted||AIX|
|Typing predefined data types such as float or date||no||yes, details here||yes|
|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||yes|
|SQL Support of SQL||no||SQL-like query language (GQL)||yes|
|APIs and other access methods||CLI Client|
RESTful HTTP API
|gRPC (using protocol buffers) API|
RESTful HTTP/JSON API
|Supported programming languages||Go|
|Server-side scripts Stored procedures||using Google App Engine||yes, in C/C++, Java, .Net or Perl|
|Triggers||Callbacks using the Google Apps Engine||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding||none|
|Replication methods Methods for redundantly storing data on multiple nodes||selectable replication factor||Multi-source replication using Paxos||Source-replica replication Database mirroring|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes using Google Cloud Dataflow||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency or Eventual Consistency depending on type of query and configuration Strong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.||Immediate Consistency|
|Foreign keys Referential integrity||no||yes via ReferenceProperties or Ancestor paths||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID Serializable Isolation within Transactions, Read Committed outside of Transactions||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes,with MongoDB ord RethinkDB||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes|
|User concepts Access control||yes||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)||fine grained access rights according to SQL-standard|
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|BigchainDB||Google Cloud Datastore||SAP SQL Anywhere formerly called Adaptive Server Anywhere|
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