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DBMS > Amazon Redshift vs. Ehcache vs. IRONdb vs. Yaacomo

System Properties Comparison Amazon Redshift vs. Ehcache vs. IRONdb vs. Yaacomo

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonEhcache  Xexclude from comparisonIRONdb  Xexclude from comparisonYaacomo  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionLarge scale data warehouse service for use with business intelligence toolsA widely adopted Java cache with tiered storage optionsA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSKey-value storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Websiteaws.amazon.com/­redshiftwww.ehcache.orgwww.circonus.com/solutions/time-series-database/yaacomo.com
Technical documentationdocs.aws.amazon.com/­redshiftwww.ehcache.org/­documentationdocs.circonus.com/irondb/category/getting-started
DeveloperAmazon (based on PostgreSQL)Terracotta Inc, owned by Software AGCirconus LLC.Q2WEB GmbH
Initial release2012200920172009
Current release3.10.0, March 2022V0.10.20, January 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC and C++
Server operating systemshostedAll OS with a Java VMLinuxAndroid
Linux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes
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.nononono
Secondary indexesrestrictednonoyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoSQL-like query language (Circonus Analytics Query Language: CAQL)yes
APIs and other access methodsJDBC
ODBC
JCacheHTTP APIJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCJava.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnoyes, in Lua
Triggersnoyes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Terracotta ServerAutomatic, metric affinity per nodehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby using Terracotta Serverconfigurable replication factor, datacenter awareSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourcenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnonofine grained access rights according to SQL-standard

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More resources
Amazon RedshiftEhcacheIRONdbYaacomo
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