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DBMS > Google BigQuery vs. LMDB vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server vs. SAP HANA

System Properties Comparison Google BigQuery vs. LMDB vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server vs. SAP HANA

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonLMDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSAP Advantage Database Server infoformer name: Sybase ADS  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA high performant, light-weight, embedded key-value database libraryElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerLow-cost RDBMS with access to ISAM and FoxPro data structuresIn-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.61
Rank#23  Overall
#15  Relational DBMS
Score2.44
Rank#117  Overall
#22  Key-value stores
Score20.66
Rank#36  Overall
#22  Relational DBMS
Score3.68
Rank#91  Overall
#47  Relational DBMS
Score55.09
Rank#21  Overall
#13  Relational DBMS
Websitecloud.google.com/­bigquerywww.symas.com/­symas-embedded-database-lmdbazure.microsoft.com/­services/­synapse-analyticswww.sap.com/­products/­advantage-database-server.htmlwww.sap.com/­products/­hana.html
Technical documentationcloud.google.com/­bigquery/­docsdocs.microsoft.com/­azure/­synapse-analyticshelp.sap.com/­hana
DeveloperGoogleSymasMicrosoftSybase, SAPSAP
Initial release20102011201619932010
Current release0.9.29, March 20212.0 SPS05 (June 26, 2020), June 2020
License infoCommercial or Open SourcecommercialOpen Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemshostedhostedLinux
Windows
Appliance or cloud-service
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonononono
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLyesnoyesyesyes
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
CC#
Java
PHP
Delphi
Perl
PHP
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoTransact SQLyesSQLScript, R
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding, horizontal partitioningnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno infocaching of (temporary) tables can be configuredyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)noyesfine grained access rights according to SQL-standardyes

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More resources
Google BigQueryLMDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSAP Advantage Database Server infoformer name: Sybase ADSSAP HANA
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