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DBMS > Apache Impala vs. HyperSQL vs. Milvus vs. mSQL vs. Prometheus

System Properties Comparison Apache Impala vs. HyperSQL vs. Milvus vs. mSQL vs. Prometheus

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMilvus  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA DBMS designed for efficient storage of vector data and vector similarity searchesmSQL (Mini SQL) is a simple and lightweight RDBMSOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSRelational DBMSVector DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score3.90
Rank#85  Overall
#46  Relational DBMS
Score1.81
Rank#144  Overall
#5  Vector DBMS
Score1.67
Rank#151  Overall
#70  Relational DBMS
Score7.92
Rank#51  Overall
#2  Time Series DBMS
Websiteimpala.apache.orghsqldb.orgmilvus.iohughestech.com.au/­products/­msqlprometheus.io
Technical documentationimpala.apache.org/­impala-docs.htmlhsqldb.org/­web/­hsqlDocsFrame.htmlmilvus.io/­docs/­overview.mdprometheus.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaHughes Technologies
Initial release20132001201919942015
Current release4.1.0, June 20222.7.2, June 20232.3.4, January 20244.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infobased on BSD licenseOpen Source infoApache Version 2.0commercial infofree licenses can be providedOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++JavaC++, GoCGo
Server operating systemsLinuxAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and StringyesNumeric data only
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.nonononono infoImport of XML data possible
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersno
APIs and other access methodsJDBC
ODBC
HTTP API infoJDBC via HTTP
JDBC
ODBC
RESTful HTTP APIJDBC
ODBC
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC
Java
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJava, SQLnonono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonenoneyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
nonenone
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardRole based access control and fine grained access rightsnono
More information provided by the system vendor
Apache ImpalaHyperSQL infoalso known as HSQLDBMilvusmSQL infoMini SQLPrometheus
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
Apache ImpalaHyperSQL infoalso known as HSQLDBMilvusmSQL infoMini SQLPrometheus
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