DBMS > Axibase vs. Google BigQuery vs. Microsoft SQL Server
System Properties Comparison Axibase vs. Google BigQuery vs. Microsoft SQL Server
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|Editorial information provided by DB-Engines|
|Name||Axibase Xexclude from comparison||Google BigQuery Xexclude from comparison||Microsoft SQL Server Xexclude from comparison|
|Description||Scalable TimeSeries DBMS based on HBase with integrated rule engine and visualization||Large scale data warehouse service with append-only tables||Microsofts flagship relational DBMS|
|Primary database model||Time Series DBMS||Relational DBMS||Relational DBMS|
|Secondary database models||Document store|
|Current release||15585||SQL Server 2019, November 2019|
|License Commercial or Open Source||commercial Community Edition (single node) is free, Enterprise Edition (distributed) is paid||commercial||commercial restricted free version is available|
|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||Linux|
|Typing predefined data types such as float or date||yes short, integer, long, float, double, decimal, string||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||yes|
|SQL Support of SQL||SQL-like query language||yes||yes|
|APIs and other access methods||JDBC|
Proprietary protocol (Network API)
RESTful HTTP API
|RESTful HTTP/JSON API||ADO.NET|
Tabular Data Stream (TDS)
|Supported programming languages||Go|
|Partitioning methods Methods for storing different data on different nodes||Sharding||none||tables can be distributed across several files (horizontal partitioning); sharding through federation|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication||yes, but depending on the SQL-Server Edition|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||no Since BigQuery is designed for querying data||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||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)||fine grained access rights according to SQL-standard|
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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.|
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|Axibase||Google BigQuery||Microsoft SQL Server|
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