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DBMS > IBM Db2 Event Store vs. LevelDB vs. Teradata Aster vs. ToroDB

System Properties Comparison IBM Db2 Event Store vs. LevelDB vs. Teradata Aster vs. ToroDB

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonLevelDB  Xexclude from comparisonTeradata Aster  Xexclude from comparisonToroDB  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDistributed Event Store optimized for Internet of Things use casesEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesPlatform for big data analytics on multistructured data sources and typesA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelEvent Store
Time Series DBMS
Key-value storeRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#316  Overall
#2  Event Stores
#28  Time Series DBMS
Score2.75
Rank#107  Overall
#19  Key-value stores
Websitewww.ibm.com/­products/­db2-event-storegithub.com/­google/­leveldbgithub.com/­torodb/­server
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storegithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperIBMGoogleTeradata8Kdata
Initial release2017201120052016
Current release2.01.23, February 2021
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoBSDcommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++Java
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionIllumos
Linux
OS X
Windows
LinuxAll OS with a Java 7 VM
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or dateyesnoyesyes infostring, integer, double, boolean, date, object_id
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.nonoyes infoin Aster File Storeno
Secondary indexesnonoyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimenoyes
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesnoR packages
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
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 storageyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
IBM Db2 Event StoreLevelDBTeradata AsterToroDB
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