DBMS > Google BigQuery vs. Quasardb
System Properties Comparison Google BigQuery vs. Quasardb
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|Editorial information provided by DB-Engines|
|Name||Google BigQuery Xexclude from comparison||Quasardb Xexclude from comparison|
|Description||Large scale data warehouse service with append-only tables||Distributed, high-performance timeseries database|
|Primary database model||Relational DBMS||Time Series DBMS|
|Current release||3.13.3, April 2022|
|License Commercial or Open Source||commercial||commercial Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses|
|Cloud-based only Only available as a cloud service||yes||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||BSD|
|Typing predefined data types such as float or date||yes||yes integer and binary|
|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||no||yes with tags|
|SQL Support of SQL||yes||SQL-like query language|
|APIs and other access methods||RESTful HTTP/JSON API||HTTP API|
|Supported programming languages||.Net|
|Partitioning methods Methods for storing different data on different nodes||none||Sharding consistent hashing|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication with selectable replication factor|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||with Hadoop integration|
|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 by using LevelDB|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes Transient mode|
|User concepts Access control||Access privileges (owner, writer, reader) on dataset, table or view level Google Cloud Identity & Access Management (IAM)||Cryptographically strong user authentication and audit trail|
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|Related products and services|
|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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