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DBMS > Apache Impala vs. jBASE vs. Milvus vs. PostGIS

System Properties Comparison Apache Impala vs. jBASE vs. Milvus vs. PostGIS

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonjBASE  Xexclude from comparisonMilvus  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA robust multi-value DBMS comprising development tools and middlewareA DBMS designed for efficient storage of vector data and vector similarity searchesSpatial extension of PostgreSQL
Primary database modelRelational DBMSMultivalue DBMSVector DBMSSpatial DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websiteimpala.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasemilvus.iopostgis.net
Technical documentationimpala.apache.org/­impala-docs.htmldocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9milvus.io/­docs/­overview.mdpostgis.net/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaRocket Software (formerly Zumasys)
Initial release2013199120192005
Current release4.1.0, June 20225.72.3.4, January 20243.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0Open Source infoGPL v2.0
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++C++, GoC
Server operating systemsLinuxAIX
Linux
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesoptionalVector, Numeric and Stringyes
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.noyesnoyes
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsEmbedded SQL for jBASE in BASICnoyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Basic
Jabbascript
Java
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesnouser defined functions
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes
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.noyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights can be defined down to the item levelRole based access control and fine grained access rightsyes infobased on PostgreSQL
More information provided by the system vendor
Apache ImpalajBASEMilvusPostGIS
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 ImpalajBASEMilvusPostGIS
DB-Engines blog posts

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