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DBMS > DolphinDB vs. GreptimeDB vs. Heroic vs. SurrealDB

System Properties Comparison DolphinDB vs. GreptimeDB vs. Heroic vs. SurrealDB

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonHeroic  Xexclude from comparisonSurrealDB  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.An open source Time Series DBMS built for increased scalability, high performance and efficiencyTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelTime Series DBMSTime Series DBMSTime Series DBMSDocument store
Graph 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
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitewww.dolphindb.comgreptime.comgithub.com/­spotify/­heroicsurrealdb.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmldocs.greptime.comspotify.github.io/­heroicsurrealdb.com/­docs
DeveloperDolphinDB, IncGreptime Inc.SpotifySurrealDB Ltd
Initial release2018202220142022
Current releasev2.00.4, January 2022v1.5.0, May 2024
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source
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 languageC++RustJavaRust
Server operating systemsLinux
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeyesschema-free, schema definition possibleschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyes infovia Elasticsearch
SQL infoSupport of SQLSQL-like query languageyesnoSQL-like query language
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
gRPC
HTTP API
JDBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C++
Erlang
Go
Java
JavaScript
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyesPythonno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAdministrators, Users, GroupsSimple rights management via user accountsyes, based on authentication and database rules
More information provided by the system vendor
DolphinDBGreptimeDBHeroicSurrealDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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DolphinDBGreptimeDBHeroicSurrealDB
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