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DBMS > BigObject vs. EventStoreDB vs. FatDB vs. Heroic

System Properties Comparison BigObject vs. EventStoreDB vs. FatDB vs. Heroic

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonEventStoreDB  Xexclude from comparisonFatDB  Xexclude from comparisonHeroic  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionAnalytic DBMS for real-time computations and queriesIndustrial-strength, open-source database solution built from the ground up for event sourcing.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedEvent StoreDocument store
Key-value store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Websitebigobject.iowww.eventstore.comgithub.com/­spotify/­heroic
Technical documentationdocs.bigobject.iodevelopers.eventstore.comspotify.github.io/­heroic
DeveloperBigObject, Inc.Event Store LimitedFatCloudSpotify
Initial release2015201220122014
Current release21.2, February 2021
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#Java
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
Windows
Windows
Data schemeyesschema-freeschema-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.nono
Secondary indexesyesyesyes infovia Elasticsearch
SQL infoSupport of SQLSQL-like DML and DDL statementsno infoVia inetgration in SQL Serverno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesC#
Server-side scripts infoStored proceduresLuayes infovia applicationsno
Triggersnoyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnono infoCan implement custom security layer via applications

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More resources
BigObjectEventStoreDBFatDBHeroic
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