DBMS > Google BigQuery vs. GridGain
System Properties Comparison Google BigQuery vs. GridGain
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|Editorial information provided by DB-Engines|
|Name||Google BigQuery Xexclude from comparison||GridGain Xexclude from comparison|
|Description||Large scale data warehouse service with append-only tables||GridGain is an in-memory computing platform, built on Apache Ignite|
|Primary database model||Relational DBMS||Key-value store|
|Developer||GridGain Systems, Inc.|
|Current release||GridGain 8.5.1|
|License Commercial or Open Source||commercial||commercial|
|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||Java, C++, .Net|
|Server operating systems||hosted||Linux|
|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||yes|
|SQL Support of SQL||yes||ANSI-99 for query and DML statements, subset of DDL|
|APIs and other access methods||RESTful HTTP/JSON API||HDFS API|
RESTful HTTP API
|Supported programming languages||.Net|
|Triggers||no||yes (cache interceptors and events)|
|Partitioning methods Methods for storing different data on different nodes||none||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes (replicated cache)|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes (compute grid and hadoop accelerator)|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||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||ACID|
|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||yes|
|User concepts Access control||Access privileges (owner, writer, reader) on dataset, table or view level Google Cloud Identity & Access Management (IAM)||Security Hooks for custom implementations|
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