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DBMS > Alibaba Cloud MaxCompute vs. Apache Druid vs. Milvus vs. OpenTSDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache Druid vs. Milvus vs. OpenTSDB

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Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache Druid  Xexclude from comparisonMilvus  Xexclude from comparisonOpenTSDB  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA DBMS designed for efficient storage of vector data and vector similarity searchesScalable Time Series DBMS based on HBase
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMS
Time Series DBMS
Vector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Websitewww.alibabacloud.com/­product/­maxcomputedruid.apache.orgmilvus.ioopentsdb.net
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedruid.apache.org/­docs/­latest/­designmilvus.io/­docs/­overview.mdopentsdb.net/­docs/­build/­html/­index.html
DeveloperAlibabaApache Software Foundation and contributorscurrently maintained by Yahoo and other contributors
Initial release2016201220192011
Current release29.0.1, April 20242.3.4, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache Version 2.0Open Source infoLGPL
Cloud-based only infoOnly available as a cloud serviceyesnonono
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 languageJavaC++, GoJava
Server operating systemshostedLinux
OS X
Unix
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Windows
Data schemeyesyes infoschema-less columns are supportedschema-free
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringnumeric data for metrics, strings for tags
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.nononono
Secondary indexesnoyesnono
SQL infoSupport of SQLSQL-like query languageSQL for queryingnono
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
RESTful HTTP/JSON API
RESTful HTTP APIHTTP API
Telnet API
Supported programming languagesJavaClojure
JavaScript
PHP
Python
R
Ruby
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Javanonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infomanual/auto, time-basedShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes, via HDFS, S3 or other storage enginesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency infobased on HBase
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
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.nonoyesno
User concepts infoAccess controlAccess rights for users and rolesRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemRole based access control and fine grained access rightsno
More information provided by the system vendor
Alibaba Cloud MaxComputeApache DruidMilvusOpenTSDB
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
Alibaba Cloud MaxComputeApache DruidMilvusOpenTSDB
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