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DBMS > etcd vs. Firebolt vs. GBase vs. Microsoft Azure Synapse Analytics

System Properties Comparison etcd vs. Firebolt vs. GBase vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonFirebolt  Xexclude from comparisonGBase  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionA distributed reliable key-value storeHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.firebolt.iowww.gbase.cnazure.microsoft.com/­services/­synapse-analytics
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.firebolt.iodocs.microsoft.com/­azure/­synapse-analytics
DeveloperFirebolt Analytics Inc.General Data Technology Co., Ltd.Microsoft
Initial release202020042016
Current release3.4, August 2019GBase 8a, GBase 8s, GBase 8c
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, Java, PythonC++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
hostedLinuxhosted
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.noyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesStandard with numerous extensionsyes
APIs and other access methodsgRPC
JSON over HTTP
.Net
ODBC
RESTful HTTP API
ADO.NET
C API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Go
JavaScript (Node.js)
Python
C#C#
Java
PHP
Server-side scripts infoStored proceduresnonouser defined functionsTransact SQL
Triggersyes, watching key changesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.depending on storage layeryesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoyesyes

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More resources
etcdFireboltGBaseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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