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DBMS > AlaSQL vs. Google BigQuery vs. MarkLogic vs. Microsoft Azure SQL Database vs. XTDB

System Properties Comparison AlaSQL vs. Google BigQuery vs. MarkLogic vs. Microsoft Azure SQL Database vs. XTDB

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionJavaScript DBMS libraryLarge scale data warehouse service with append-only tablesOperational and transactional Enterprise NoSQL databaseDatabase as a Service offering with high compatibility to Microsoft SQL ServerA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSDocument store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitealasql.orgcloud.google.com/­bigquerywww.marklogic.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasegithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationgithub.com/­AlaSQL/­alasqlcloud.google.com/­bigquery/­docsdocs.marklogic.comdocs.microsoft.com/­en-us/­azure/­azure-sqlwww.xtdb.com/­docs
DeveloperAndrey Gershun & Mathias R. WulffGoogleMarkLogic Corp.MicrosoftJuxt Ltd.
Initial release20142010200120102019
Current release11.0, December 2022V121.19, September 2021
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercialcommercial inforestricted free version is availablecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++C++Clojure
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedLinux
OS X
Windows
hostedAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesschema-free infoSchema can be enforcedyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes, extensible-data-notation format
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyesyesno
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesyes infoSQL92yeslimited SQL, making use of Apache Calcite
APIs and other access methodsJavaScript APIRESTful HTTP/JSON APIJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET
JDBC
ODBC
HTTP REST
JDBC
Supported programming languagesJavaScript.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptyes infovia XQuery or JavaScriptTransact SQLno
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes, with always 3 replicas availableyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageno infoSince BigQuery is designed for querying dataACID infocan act as a resource manager in an XA/JTA transactionACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes, with Range Indexes
User concepts infoAccess controlnoAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Role-based access control at the document and subdocument levelsfine grained access rights according to SQL-standard

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More resources
AlaSQLGoogle BigQueryMarkLogicMicrosoft Azure SQL Database infoformerly SQL AzureXTDB infoformerly named Crux
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