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DBMS > etcd vs. Firebolt vs. GBase vs. Microsoft Azure Table Storage

System Properties Comparison etcd vs. Firebolt vs. GBase vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonFirebolt  Xexclude from comparisonGBase  Xexclude from comparisonMicrosoft Azure Table Storage  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.A Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelKey-value storeRelational DBMSRelational DBMSWide column store
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
Score4.48
Rank#75  Overall
#6  Wide column stores
Websiteetcd.io
github.com/­etcd-io/­etcd
www.firebolt.iowww.gbase.cnazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.firebolt.io
DeveloperFirebolt Analytics Inc.General Data Technology Co., Ltd.Microsoft
Initial release202020042012
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, Python
Server operating systemsFreeBSD
Linux
Windows infoexperimental
hostedLinuxhosted
Data schemeschema-freeyesyesschema-free
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 indexesnoyesyesno
SQL infoSupport of SQLnoyesStandard with numerous extensionsno
APIs and other access methodsgRPC
JSON over HTTP
.Net
ODBC
RESTful HTTP API
ADO.NET
C API
JDBC
ODBC
RESTful HTTP API
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#.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functionsno
Triggersyes, watching key changesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningSharding infoImplicit feature of the cloud service
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 infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
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
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic locking
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.nono
User concepts infoAccess controlnoyesAccess rights based on private key authentication or shared access signatures

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More resources
etcdFireboltGBaseMicrosoft Azure Table Storage
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