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DBMS > Amazon CloudSearch vs. CockroachDB vs. Drizzle vs. Milvus

System Properties Comparison Amazon CloudSearch vs. CockroachDB vs. Drizzle vs. Milvus

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonCockroachDB  Xexclude from comparisonDrizzle  Xexclude from comparisonMilvus  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelSearch engineRelational DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#133  Overall
#12  Search engines
Score4.74
Rank#67  Overall
#36  Relational DBMS
Score3.01
Rank#89  Overall
#4  Vector DBMS
Websiteaws.amazon.com/­cloudsearchwww.cockroachlabs.commilvus.io
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.cockroachlabs.com/­docsmilvus.io/­docs/­overview.md
DeveloperAmazonCockroach LabsDrizzle project, originally started by Brian Aker
Initial release2012201520082019
Current release24.1.0, May 20247.2.4, September 20122.4.4, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availableOpen Source infoGNU GPLOpen Source infoApache Version 2.0
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 languageGoC++C++, Go
Server operating systemshostedLinux
macOS
Windows
FreeBSD
Linux
OS X
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesdynamic schemayes
Typing infopredefined data types such as float or dateyesyesyesVector, Numeric and String
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.nono
Secondary indexesyes infoall search fields are automatically indexedyesyesno
SQL infoSupport of SQLnoyes, wire compatible with PostgreSQLyes infowith proprietary extensionsno
APIs and other access methodsHTTP APIJDBCJDBCRESTful HTTP API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C++
Java
PHP
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononono
Triggersnonono infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredhorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication using RAFTMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
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.noyes
User concepts infoAccess controlauthentication via encrypted signaturesRole-based access controlPluggable authentication mechanisms infoe.g. LDAP, HTTPRole based access control and fine grained access rights
More information provided by the system vendor
Amazon CloudSearchCockroachDBDrizzleMilvus
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...
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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
Amazon CloudSearchCockroachDBDrizzleMilvus
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