DBMS > Google BigQuery vs. Graph Engine
System Properties Comparison Google BigQuery vs. Graph Engine
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|Editorial information provided by DB-Engines|
|Name||Google BigQuery Xexclude from comparison||Graph Engine former name: Trinity Xexclude from comparison|
|Description||Large scale data warehouse service with append-only tables||A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine|
|Primary database model||Relational DBMS||Graph DBMS|
|License Commercial or Open Source||commercial||Open Source MIT License|
|Cloud-based only Only available as a cloud service||yes||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||.NET and C|
|Server operating systems||hosted||.NET|
|Typing predefined data types such as float or date||yes||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|
|SQL Support of SQL||yes||no|
|APIs and other access methods||RESTful HTTP/JSON API||RESTful HTTP API|
|Supported programming languages||.Net|
|Partitioning methods Methods for storing different data on different nodes||none||horizontal partitioning|
|MapReduce Offers an API for user-defined Map/Reduce methods||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency|
|Foreign keys Referential integrity||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no Since BigQuery is designed for querying data||no|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes||optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage|
|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||Access privileges (owner, writer, reader) on dataset, table or view level Google Cloud Identity & Access Management (IAM)|
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|3rd parties||SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.|
CData: Connect to Big Data & NoSQL through standard Drivers.
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|Google BigQuery||Graph Engine former name: Trinity|
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