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DBMS > Amazon Redshift vs. Graph Engine vs. Hypertable vs. Milvus

System Properties Comparison Amazon Redshift vs. Graph Engine vs. Hypertable vs. Milvus

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHypertable  Xexclude from comparisonMilvus  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionLarge scale data warehouse service for use with business intelligence toolsA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAn open source BigTable implementation based on distributed file systems such as HadoopA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMSGraph DBMS
Key-value store
Wide column storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score26.37
Rank#31  Overall
#18  Relational DBMS
Score0.93
Rank#189  Overall
#16  Graph DBMS
#32  Key-value stores
Score0.46
Rank#250  Overall
#17  Search engines
Websiteaws.amazon.com/­redshiftwww.graphengine.iomilvus.io
Technical documentationdocs.aws.amazon.com/­redshiftwww.graphengine.io/­docs/­manualmilvus.io/­docs/­overview.md
DeveloperAmazon (based on PostgreSQL)MicrosoftHypertable Inc.
Initial release2012201020092019
Current release0.9.8.11, March 20162.0, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoGNU version 3. Commercial license availableOpen 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.
Implementation languageC.NET and CC++C++, Go
Server operating systemshosted.NETLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesnoNumeric 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.nonono
Secondary indexesrestrictedrestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIC++ API
Thrift
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
F#
Visual Basic
C++
Java
Perl
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnono
More information provided by the system vendor
Amazon RedshiftGraph Engine infoformer name: TrinityHypertableMilvus
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 scenariosVideo media : video understanding, video deduplication. E-commerce and mobile applications...
» more
Key customersMilvus is trusted by over 1,000 enterprises, including Baidu, eBay, IKEA, LINE, Shopee,...
» more
Market metricsAs of March 2022, 9.8k+ GitHub stars 1.4k+ Github forks 871k+ docker pulls 2k+ community...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Managed...
» more

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More resources
Amazon RedshiftGraph Engine infoformer name: TrinityHypertableMilvus
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