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DBMS > EventStoreDB vs. FeatureBase vs. Heroic vs. OushuDB

System Properties Comparison EventStoreDB vs. FeatureBase vs. Heroic vs. OushuDB

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonHeroic  Xexclude from comparisonOushuDB  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning
Primary database modelEvent StoreRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.10
Rank#355  Overall
#154  Relational DBMS
Websitewww.eventstore.comwww.featurebase.comgithub.com/­spotify/­heroicwww.oushu.com/­product/­oushuDB
Technical documentationdevelopers.eventstore.comdocs.featurebase.comspotify.github.io/­heroicwww.oushu.com/­documentation
DeveloperEvent Store LimitedMolecula and Pilosa Open Source ContributorsSpotifyOushu
Initial release201220172014
Current release21.2, February 20212022, May 20224.0.1, August 2020
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava
Server operating systemsLinux
Windows
Linux
macOS
Linux
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.nono
Secondary indexesnoyes infovia Elasticsearchyes
SQL infoSupport of SQLSQL queriesnoFull-featured ANSI SQL support
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
Supported programming languagesJava
Python
C
C++
Server-side scripts infoStored proceduresnoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlKerberos, SSL and role based access

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More resources
EventStoreDBFeatureBaseHeroicOushuDB
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