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DBMS > Amazon CloudSearch vs. Amazon Redshift vs. RocksDB vs. Weaviate

System Properties Comparison Amazon CloudSearch vs. Amazon Redshift vs. RocksDB vs. Weaviate

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonRocksDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudLarge scale data warehouse service for use with business intelligence toolsEmbeddable persistent key-value store optimized for fast storage (flash and RAM)An AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelSearch engineRelational DBMSKey-value storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#133  Overall
#12  Search engines
Score15.25
Rank#38  Overall
#23  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websiteaws.amazon.com/­cloudsearchaws.amazon.com/­redshiftrocksdb.orggithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.aws.amazon.com/­redshiftgithub.com/­facebook/­rocksdb/­wikiweaviate.io/­developers/­weaviate
DeveloperAmazonAmazon (based on PostgreSQL)Facebook, Inc.Weaviate B.V.
Initial release2012201220132019
Current release9.4.0, June 20241.19, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDOpen Source infocommercial license available with Weaviate Enterprise
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.
Implementation languageCC++Go
Server operating systemshostedhostedLinux
Data schemeyesyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesnoyes infostring, int, float, geo point, date, cross reference, fuzzy references
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 indexesyes infoall search fields are automatically indexedrestrictednoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyes infodoes not fully support an SQL-standardnoGraphQL is used as query language
APIs and other access methodsHTTP APIJDBC
ODBC
C++ API
Java API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Go
Java
Perl
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnouser defined functions infoin Pythonnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoinformational only, not enforced by the systemnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesno
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.yesyesyes
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Amazon CloudSearchAmazon RedshiftRocksDBWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
Amazon CloudSearchAmazon RedshiftRocksDBWeaviate
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