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DBMS > Apache Hive vs. SurrealDB

System Properties Comparison Apache Hive vs. SurrealDB

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonSurrealDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score53.07
Rank#18  Overall
#12  Relational DBMS
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Websitehive.apache.orgsurrealdb.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homesurrealdb.com/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookSurrealDB Ltd
Initial release20122022
Current release3.1.3, April 2022v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaRust
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes
Secondary indexesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsJDBC
ODBC
Thrift
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC++
Java
PHP
Python
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduce
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesyes, based on authentication and database rules

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More resources
Apache HiveSurrealDB
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