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DBMS > EventStoreDB vs. Heroic vs. Speedb vs. TDSQL for MySQL

System Properties Comparison EventStoreDB vs. Heroic vs. Speedb vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonHeroic  Xexclude from comparisonSpeedb  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDBA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelEvent StoreTime Series DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#181  Overall
#1  Event Stores
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score0.20
Rank#310  Overall
#44  Key-value stores
Score0.96
Rank#192  Overall
#88  Relational DBMS
Websitewww.eventstore.comgithub.com/­spotify/­heroicwww.speedb.iowww.tencentcloud.com/­products/­dcdb
Technical documentationdevelopers.eventstore.comspotify.github.io/­heroicwww.tencentcloud.com/­document/­product/­1042
DeveloperEvent Store LimitedSpotifySpeedbTencent
Initial release2012201420202013
Current release21.2, February 2021
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0; commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsLinux
Windows
Linux
Windows
hosted
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyes infovia Elasticsearchnoyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
Supported programming languagesC
C++
Go
Java
Perl
Python
Ruby
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesno
User concepts infoAccess controlnoUsers with fine-grained authorization concept

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More resources
EventStoreDBHeroicSpeedbTDSQL for MySQL
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