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DBMS > Alibaba Cloud Table Store vs. Databricks vs. Milvus vs. Riak TS

System Properties Comparison Alibaba Cloud Table Store vs. Databricks vs. Milvus vs. Riak TS

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonDatabricks  Xexclude from comparisonMilvus  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A DBMS designed for efficient storage of vector data and vector similarity searchesRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelWide column storeDocument store
Relational DBMS
Vector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Websitewww.alibabacloud.com/­product/­table-storewww.databricks.commilvus.io
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.databricks.commilvus.io/­docs/­overview.mdwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperAlibabaDatabricksOpen Source, formerly Basho Technologies
Initial release2016201320192015
Current release2.3.4, January 20243.0.0, September 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesyesnono
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++, GoErlang
Server operating systemshostedhostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringno
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.noyesnono
Secondary indexesnoyesnorestricted
SQL infoSupport of SQLnowith Databricks SQLnoyes, limited
APIs and other access methodsHTTP APIJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP API
Native Erlang Interface
Supported programming languagesJava
Python
Python
R
Scala
C++
Go
Java
JavaScript (Node.js)
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnoErlang
Triggersnonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDnono
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.nonoyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensRole based access control and fine grained access rightsno
More information provided by the system vendor
Alibaba Cloud Table StoreDatabricksMilvusRiak TS
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
Milvus 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 Table StoreDatabricksMilvusRiak TS
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