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DBMS > Apache Doris vs. EsgynDB vs. SurrealDB vs. VictoriaMetrics

System Properties Comparison Apache Doris vs. EsgynDB vs. SurrealDB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonEsgynDB  Xexclude from comparisonSurrealDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA fully ACID transactional, developer-friendly, multi-model DBMSA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.esgyn.cnsurrealdb.comvictoriametrics.com
Technical documentationgithub.com/­apache/­doris/­wikisurrealdb.com/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperApache Software Foundation, originally contributed from BaiduEsgynSurrealDB LtdVictoriaMetrics
Initial release2017201520222018
Current release1.2.2, February 2023v1.5.0, May 2024v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen SourceOpen Source infoApache Version 2.0
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 languageJavaC++, JavaRustGo
Server operating systemsLinuxLinuxLinux
macOS
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesschema-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.nonono
Secondary indexesyesyes
SQL infoSupport of SQLyesyesSQL-like query languageno
APIs and other access methodsJDBC
MySQL client
ADO.NET
JDBC
ODBC
GraphQL
RESTful HTTP API
WebSocket
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesJavaAll languages supporting JDBC/ODBC/ADO.NetDeno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresuser defined functionsJava Stored Proceduresno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication between multi datacentersSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes, based on authentication and database rules

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More resources
Apache DorisEsgynDBSurrealDBVictoriaMetrics
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