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DBMS > etcd vs. Google Cloud Bigtable vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server vs. Yaacomo

System Properties Comparison etcd vs. Google Cloud Bigtable vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server vs. Yaacomo

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSAP Advantage Database Server infoformer name: Sybase ADS  Xexclude from comparisonYaacomo  Xexclude from comparison
SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA distributed reliable key-value storeGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerLow-cost RDBMS with access to ISAM and FoxPro data structuresOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value storeKey-value store
Wide column store
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
cloud.google.com/­bigtableazure.microsoft.com/­services/­synapse-analyticswww.sap.com/products/advantage-database-server.htmlyaacomo.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
cloud.google.com/­bigtable/­docsdocs.microsoft.com/­azure/­synapse-analytics
DeveloperGoogleMicrosoftSybase, SAPQ2WEB GmbH
Initial release2015201619932009
Current release3.4, August 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
hostedhostedLinux
Windows
Android
Linux
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenonoyesyesyes
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 SQLnonoyesyesyes
APIs and other access methodsgRPC
JSON over HTTP
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
ODBC
.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
C#
Java
PHP
Delphi
Perl
PHP
Server-side scripts infoStored proceduresnonoTransact SQLyes
Triggersyes, watching key changesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Internal replication in Colossus, and regional replication between two clusters in different zonesyesMulti-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate 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 datanoAtomic single-row operationsACIDACIDACID
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.nonono infocaching of (temporary) tables can be configuredyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
etcdGoogle Cloud BigtableMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSAP Advantage Database Server infoformer name: Sybase ADSYaacomo
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