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DBMS > Apache Impala vs. Cubrid vs. Milvus vs. Teradata

System Properties Comparison Apache Impala vs. Cubrid vs. Milvus vs. Teradata

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCubrid  Xexclude from comparisonMilvus  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA DBMS designed for efficient storage of vector data and vector similarity searchesA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSRelational DBMSVector DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.97
Rank#189  Overall
#86  Relational DBMS
Score3.01
Rank#89  Overall
#4  Vector DBMS
Score41.47
Rank#22  Overall
#15  Relational DBMS
Websiteimpala.apache.orgcubrid.com (korean)
cubrid.org (english)
milvus.iowww.teradata.com
Technical documentationimpala.apache.org/­impala-docs.htmlcubrid.org/­manualsmilvus.io/­docs/­overview.mddocs.teradata.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCUBRID Corporation, CUBRID FoundationTeradata
Initial release2013200820191984
Current release4.1.0, June 202211.0, January 20212.4.4, May 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache Version 2.0commercial
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, C++, JavaC++, Go
Server operating systemsLinuxLinux
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
hosted
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesVector, 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.nononoyes
Secondary indexesyesyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
RESTful HTTP API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJava Stored Proceduresnoyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationMulti-source replication
Source-replica replication
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 ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes
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.nonoyesyes
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 rightsfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache ImpalaCubridMilvusTeradata
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 ImpalaCubridMilvusTeradata
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