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

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

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonGraph Engine infoformer name: Trinity  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 comparison
DescriptionLarge scale data warehouse service with append-only tablesA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA 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 structures
Primary database modelRelational DBMSGraph DBMS
Key-value store
Key-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.61
Rank#23  Overall
#15  Relational DBMS
Score0.91
Rank#184  Overall
#16  Graph DBMS
#30  Key-value stores
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
Websitecloud.google.com/­bigquerywww.graphengine.iowww.symas.com/­symas-embedded-database-lmdbazure.microsoft.com/­services/­synapse-analyticswww.sap.com/­products/­advantage-database-server.html
Technical documentationcloud.google.com/­bigquery/­docswww.graphengine.io/­docs/­manualdocs.microsoft.com/­azure/­synapse-analytics
DeveloperGoogleMicrosoftSymasMicrosoftSybase, SAP
Initial release20102010201120161993
Current release0.9.29, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CCC++
Server operating systemshosted.NEThostedLinux
Windows
Data schemeyesyesschema-freeyesyes
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 indexesnonoyesyes
SQL infoSupport of SQLyesnonoyesyes
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP APIADO.NET
JDBC
ODBC
.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
F#
Visual Basic
CC#
Java
PHP
Delphi
Perl
PHP
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyesnoTransact SQLyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningnoneSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno infocaching of (temporary) tables can be configured
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-standard

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More resources
Google BigQueryGraph Engine infoformer name: TrinityLMDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSAP Advantage Database Server infoformer name: Sybase ADS
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