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DBMS > IBM Db2 Event Store vs. Prometheus vs. Teradata vs. Yaacomo

System Properties Comparison IBM Db2 Event Store vs. Prometheus vs. Teradata vs. Yaacomo

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonPrometheus  Xexclude from comparisonTeradata  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionDistributed Event Store optimized for Internet of Things use casesOpen-source Time Series DBMS and monitoring systemA hybrid cloud data analytics software platform (Teradata Vantage)OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelEvent Store
Time Series DBMS
Time Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storeprometheus.iowww.teradata.comyaacomo.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storeprometheus.io/­docsdocs.teradata.com
DeveloperIBMTeradataQ2WEB GmbH
Initial release2017201519842009
Current release2.0Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Go
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
Windows
hosted
Linux
Android
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyes
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.nono infoImport of XML data possibleyesno
Secondary indexesnonoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimenoyes infoSQL 2016 + extensionsyes
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesnoyes infoUDFs, stored procedures, table functions in parallel
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoHashinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationyes infoby FederationMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentYes - 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.yesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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IBM Db2 Event StorePrometheusTeradataYaacomo
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