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DBMS > Databend vs. Ehcache vs. IBM Db2 Event Store

System Properties Comparison Databend vs. Ehcache vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonEhcache  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA widely adopted Java cache with tiered storage optionsDistributed Event Store optimized for Internet of Things use cases
Primary database modelRelational DBMSKey-value storeEvent Store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score4.79
Rank#66  Overall
#8  Key-value stores
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.ehcache.orgwww.ibm.com/­products/­db2-event-store
Technical documentationdocs.databend.comwww.ehcache.org/­documentationwww.ibm.com/­docs/­en/­db2-event-store
DeveloperDatabend LabsTerracotta Inc, owned by Software AGIBM
Initial release202120092017
Current release1.0.59, April 20233.10.0, March 20222.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availablecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustJavaC and C++
Server operating systemshosted
Linux
macOS
All OS with a Java VMLinux infoLinux, macOS, Windows for the developer addition
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesnonono
SQL infoSupport of SQLyesnoyes infothrough the embedded Spark runtime
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JCacheADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
JavaC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresnonoyes
Triggersnoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby using Terracotta ServerActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyes infosupports JTA and can work as an XA resourceno
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesnofine grained access rights according to SQL-standard

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More resources
DatabendEhcacheIBM Db2 Event Store
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