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

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

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSAP Advantage Database Server infoformer name: Sybase ADS  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerLow-cost RDBMS with access to ISAM and FoxPro data structuresCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score49.07
Rank#23  Overall
#15  Relational DBMS
Score21.33
Rank#36  Overall
#22  Relational DBMS
Score3.66
Rank#91  Overall
#48  Relational DBMS
Score3.64
Rank#92  Overall
#16  Key-value stores
#8  Wide column stores
Websitecloud.google.com/­bigqueryazure.microsoft.com/­services/­synapse-analyticswww.sap.com/­products/­advantage-database-server.htmlwww.scylladb.com
Technical documentationcloud.google.com/­bigquery/­docsdocs.microsoft.com/­azure/­synapse-analyticsdocs.scylladb.com
DeveloperGoogleMicrosoftSybase, SAPScyllaDB
Initial release2010201619932015
Current releaseScylla Open Source 4.6, March 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC++C++
Server operating systemshostedhostedLinux
Windows
Linux
Data schemeyesyesyesschema-free
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.nononono
Secondary indexesnoyesyesyes infocluster global secondary indices
SQL infoSupport of SQLyesyesyesSQL-like DML and DDL statements (CQL)
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
Java
PHP
Delphi
Perl
PHP
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptTransact SQLyesyes, Lua
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
selectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono infocaching of (temporary) tables can be configuredyes infoin-memory tables
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yesfine grained access rights according to SQL-standardAccess rights for users can be defined per object
More information provided by the system vendor
Google BigQueryMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSAP Advantage Database Server infoformer name: Sybase ADSScyllaDB
Specific characteristicsScylla is a highly-available, highly-scalable, highly-performant NoSQL database....
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Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
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Typical application scenariosAdTech ( AdGear , AppMonet , Dstillery , FullContact , MediaMath , Numberly , SAS...
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Key customersComcast, Grab, OlaCabs, Yahoo! Japan, IMVU, Adgear, Xandr, Zenly, Natura, Snapfish,...
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Licensing and pricing modelsScylla Open Source - free open source software (AGPL) Scylla Enterprise - subscription-based...
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More resources
Google BigQueryMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSAP Advantage Database Server infoformer name: Sybase ADSScyllaDB
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