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DBMS > Ehcache vs. EventStoreDB vs. Greenplum vs. Heroic

System Properties Comparison Ehcache vs. EventStoreDB vs. Greenplum vs. Heroic

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonEventStoreDB  Xexclude from comparisonGreenplum  Xexclude from comparisonHeroic  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsIndustrial-strength, open-source database solution built from the ground up for event sourcing.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelKey-value storeEvent StoreRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score1.19
Rank#173  Overall
#1  Event Stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Websitewww.ehcache.orgwww.eventstore.comgreenplum.orggithub.com/­spotify/­heroic
Technical documentationwww.ehcache.org/­documentationdevelopers.eventstore.comdocs.greenplum.orgspotify.github.io/­heroic
DeveloperTerracotta Inc, owned by Software AGEvent Store LimitedPivotal Software Inc.Spotify
Initial release2009201220052014
Current release3.10.0, March 202221.2, February 20217.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen SourceOpen Source infoApache 2.0Open Source infoApache 2.0
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 languageJavaJava
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
Data schemeschema-freeyesschema-free
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.noyes infosince Version 4.2no
Secondary indexesnoyesyes infovia Elasticsearch
SQL infoSupport of SQLnoyesno
APIs and other access methodsJCacheJDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesJavaC
Java
Perl
Python
R
Server-side scripts infoStored proceduresnoyesno
Triggersyes infoCache Event Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes 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.yesnono
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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EhcacheEventStoreDBGreenplumHeroic
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