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DBMS > etcd vs. IBM Db2 Event Store vs. Microsoft Azure Table Storage vs. OpenEdge vs. Realm

System Properties Comparison etcd vs. IBM Db2 Event Store vs. Microsoft Azure Table Storage vs. OpenEdge vs. Realm

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOpenEdge  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionA distributed reliable key-value storeDistributed Event Store optimized for Internet of Things use casesA Wide Column Store for rapid development using massive semi-structured datasetsApplication development environment with integrated database management systemA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelKey-value storeEvent Store
Time Series DBMS
Wide column storeRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websiteetcd.io
github.com/­etcd-io/­etcd
www.ibm.com/­products/­db2-event-storeazure.microsoft.com/­en-us/­services/­storage/­tableswww.progress.com/­openedgerealm.io
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.ibm.com/­docs/­en/­db2-event-storedocumentation.progress.com/­output/­ua/­OpenEdge_latestrealm.io/­docs
DeveloperIBMMicrosoftProgress Software CorporationRealm, acquired by MongoDB in May 2019
Initial release2017201219842014
Current release3.4, August 20192.0OpenEdge 12.2, March 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree developer edition availablecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux infoLinux, macOS, Windows for the developer additionhostedAIX
HP-UX
Linux
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nononoyesno
Secondary indexesnononoyesyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimenoyes infoclose to SQL 92no
APIs and other access methodsgRPC
JSON over HTTP
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
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#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language).Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnoyesnoyesno inforuns within the applications so server-side scripts are unnecessary
Triggersyes, watching key changesnonoyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning infosince Version 11.4none
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Active-active shard replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnonoyes infoIn-Memory realm
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesUsers and groupsyes

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More resources
etcdIBM Db2 Event StoreMicrosoft Azure Table StorageOpenEdgeRealm
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