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DBMS > DolphinDB vs. EventStoreDB vs. Heroic vs. RisingWave

System Properties Comparison DolphinDB vs. EventStoreDB vs. Heroic vs. RisingWave

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonHeroic  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Industrial-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 ElasticSearchA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelTime Series DBMSEvent StoreTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websitewww.dolphindb.comwww.eventstore.comgithub.com/­spotify/­heroicwww.risingwave.com/­database
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmldevelopers.eventstore.comspotify.github.io/­heroicdocs.risingwave.com/­docs/­current/­intro
DeveloperDolphinDB, IncEvent Store LimitedSpotifyRisingWave Labs
Initial release2018201220142022
Current releasev2.00.4, January 202221.2, February 20211.2, September 2023
License infoCommercial or Open Sourcecommercial infofree community version availableOpen SourceOpen Source infoApache 2.0Open Source infoApache Version 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++JavaRust
Server operating systemsLinux
Windows
Linux
Windows
Docker
Linux
macOS
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesStandard SQL-types and JSON
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 indexesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLSQL-like query languagenoyes
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
PostgreSQL wire protocol
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnoUDFs in Python or Java
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono
Concurrency infoSupport for concurrent manipulation of datayesyes
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.yesnoyes
User concepts infoAccess controlAdministrators, Users, GroupsUsers and Roles

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DolphinDBEventStoreDBHeroicRisingWave
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