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DBMS > etcd vs. FoundationDB vs. jBASE vs. Microsoft Azure Data Explorer vs. Postgres-XL

System Properties Comparison etcd vs. FoundationDB vs. jBASE vs. Microsoft Azure Data Explorer vs. Postgres-XL

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonFoundationDB  Xexclude from comparisonjBASE  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonPostgres-XL  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionA distributed reliable key-value storeOrdered key-value store. Core features are complimented by layers.A robust multi-value DBMS comprising development tools and middlewareFully managed big data interactive analytics platformBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelKey-value storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Multivalue DBMSRelational DBMS infocolumn orientedRelational DBMS
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.96
Rank#46  Overall
#5  Key-value stores
Score1.30
Rank#149  Overall
#26  Document stores
#28  Key-value stores
#72  Relational DBMS
Score1.68
Rank#133  Overall
#3  Multivalue DBMS
Score6.41
Rank#63  Overall
#35  Relational DBMS
Score0.73
Rank#203  Overall
#100  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.foundationdb.orgwww.jbase.comazure.microsoft.com/­services/­data-explorerwww.postgres-xl.org
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
apple.github.io/­foundationdbdocs.zumasys.com/­jbasedocs.microsoft.com/­en-us/­azure/­data-explorerwww.postgres-xl.org/­documentation
DeveloperFoundationDBZumasysMicrosoft
Initial release2013199120192014 infosince 2012, originally named StormDB
Current release3.4, August 20196.2.28, November 20205.7cloud service with continuous releases10 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialcommercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Windows
AIX
Linux
Windows
hostedLinux
macOS
Data schemeschema-freeschema-free infosome layers support schemasschema-freeFixed schema with schema-less datatypes (dynamic)yes
Typing infopredefined data types such as float or datenono infosome layers support typingoptionalyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes
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.noyesyesyes infoXML type, but no XML query functionality
Secondary indexesnonoall fields are automatically indexedyes
SQL infoSupport of SQLnosupported in specific SQL layer onlyEmbedded SQL for jBASE in BASICKusto Query Language (KQL), SQL subsetyes infodistributed, parallel query execution
APIs and other access methodsgRPC
JSON over HTTP
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
Basic
Jabbascript
Java
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoin SQL-layer onlyyesYes, possible languages: KQL, Python, Ruser defined functions
Triggersyes, watching key changesnoyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yesyesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID infoMVCC
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.noyesnono
User concepts infoAccess controlnonoAccess rights can be defined down to the item levelAzure Active Directory Authenticationfine grained access rights according to SQL-standard
More information provided by the system vendor
etcdFoundationDBjBASEMicrosoft Azure Data ExplorerPostgres-XL
Specific characteristicsAzure Data Explorer is a fast and highly scalable data exploration service for log...
» more
Competitive advantagesKusto Query Language (innovative query language, optimized for high performance data...
» more
Typical application scenariosIoT applications IoT devices generate billions of sensor readings. Normalizing and...
» more
Key customersMicrosoft, DocuSign, Taboola, Bosch, Siemens Healthineers, Bühler, Ecolab, Zoomd
» more
Market metricsAzure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights,...
» more

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More resources
etcdFoundationDBjBASEMicrosoft Azure Data ExplorerPostgres-XL
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