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DBMS > Hive vs. LeanXcale vs. Prometheus vs. SurrealDB

System Properties Comparison Hive vs. LeanXcale vs. Prometheus vs. SurrealDB

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonLeanXcale  Xexclude from comparisonPrometheus  Xexclude from comparisonSurrealDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesOpen-source Time Series DBMS and monitoring systemA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSKey-value store
Relational DBMS
Time Series DBMSDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitehive.apache.orgwww.leanxcale.comprometheus.iosurrealdb.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeprometheus.io/­docssurrealdb.com/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookLeanXcaleSurrealDB Ltd
Initial release2012201520152022
Current release3.1.3, April 2022v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoRust
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
macOS
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyes
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.no infoImport of XML data possible
Secondary indexesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infothrough Apache DerbynoSQL-like query language
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
RESTful HTTP/JSON APIGraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC++
Java
PHP
Python
C
Java
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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 controlAccess rights for users, groups and rolesnoyes, based on authentication and database rules

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