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DBMS > Kdb vs. Milvus vs. TempoIQ vs. Teradata Aster

System Properties Comparison Kdb vs. Milvus vs. TempoIQ vs. Teradata Aster

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonMilvus  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionHigh performance Time Series DBMSA DBMS designed for efficient storage of vector data and vector similarity searchesScalable analytics DBMS for sensor data, provided as a service (SaaS)Platform for big data analytics on multistructured data sources and types
Primary database modelTime Series DBMS
Vector DBMS
Vector DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websitekx.commilvus.iotempoiq.com (offline)
Technical documentationcode.kx.commilvus.io/­docs/­overview.md
DeveloperKx Systems, a division of First Derivatives plcTempoIQTeradata
Initial release2000 infokdb was released 2000, kdb+ in 2003201920122005
Current release3.6, May 20182.3.4, January 2024
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
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 languageqC++, Go
Server operating systemsLinux
OS X
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyesyes
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.yesnonoyes infoin Aster File Store
Secondary indexesyes infotable attribute 'grouped'noyes
SQL infoSupport of SQLSQL-like query language (q)nonoyes
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP APIHTTP APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Go
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript infoNode.js
Python
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functionsnonoR packages
Triggersyes infowith viewsnoyes infoRealtime Alertsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
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.yesyesnono
User concepts infoAccess controlrights management via user accountsRole based access control and fine grained access rightssimple authentication-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
KdbMilvusTempoIQ infoformerly TempoDBTeradata Aster
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Milvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Highly available, versatile, and robust with millisecond latency. Supports batch...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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RAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Milvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
As of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsupon request
» more
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
KdbMilvusTempoIQ infoformerly TempoDBTeradata Aster
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