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DBMS > etcd vs. IBM Db2 Event Store vs. Interbase vs. TDSQL for MySQL vs. TimesTen

System Properties Comparison etcd vs. IBM Db2 Event Store vs. Interbase vs. TDSQL for MySQL vs. TimesTen

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonInterbase  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionA distributed reliable key-value storeDistributed Event Store optimized for Internet of Things use casesLight-weight proven RDBMS infooriginally from BorlandA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.In-Memory RDBMS compatible to Oracle
Primary database modelKey-value storeEvent Store
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.ibm.com/­products/­db2-event-storewww.embarcadero.com/­products/­interbasewww.tencentcloud.com/­products/­dcdbwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.ibm.com/­docs/­en/­db2-event-storedocs.embarcadero.com/­products/­interbasewww.tencentcloud.com/­document/­product/­1042docs.oracle.com/­database/­timesten-18.1
DeveloperIBMEmbarcaderoTencentOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2017198420131998
Current release3.4, August 20192.0InterBase 2020, December 201911 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree developer edition availablecommercialcommercialcommercial
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 and C++C
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux infoLinux, macOS, Windows for the developer additionAndroid
iOS
Linux
OS X
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyesyesyes
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.nonono infoexport as XML data possiblenono
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeyesyesyes
APIs and other access methodsgRPC
JSON over HTTP
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
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++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Java
PHP
Python
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoyesyes infoInterbase procedure and trigger languageyesPL/SQL
Triggersyes, watching key changesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic shardingnone
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 replicationInterbase Change ViewsMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
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 or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
etcdIBM Db2 Event StoreInterbaseTDSQL for MySQLTimesTen
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