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DBMS > IBM Db2 Event Store vs. RavenDB vs. RisingWave vs. TerarkDB

System Properties Comparison IBM Db2 Event Store vs. RavenDB vs. RisingWave vs. TerarkDB

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonRavenDB  Xexclude from comparisonRisingWave  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA distributed RDBMS for stream processing, wire-compatible with PostgreSQLA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelEvent Store
Time Series DBMS
Document storeRelational DBMSKey-value store
Secondary database modelsGraph 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
Score2.84
Rank#101  Overall
#18  Document stores
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitewww.ibm.com/­products/­db2-event-storeravendb.netwww.risingwave.com/­databasegithub.com/­bytedance/­terarkdb
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storeravendb.net/­docsdocs.risingwave.com/­docs/­current/­introbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperIBMHibernating RhinosRisingWave LabsByteDance, originally Terark
Initial release2017201020222016
Current release2.05.4, July 20221.2, September 2023
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache Version 2.0commercial inforestricted open source version available
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#RustC++
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
macOS
Raspberry Pi
Windows
Docker
Linux
macOS
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoStandard SQL-types and JSONno
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
Secondary indexesnoyesyesno
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeSQL-like query language (RQL)yesno
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
PostgreSQL wire protocol
C++ API
Java API
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresyesyesUDFs in Python or Javano
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, Cluster-wide transaction availablenono
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyes
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAuthorization levels configured per client per databaseUsers and Rolesno

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More resources
IBM Db2 Event StoreRavenDBRisingWaveTerarkDB
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