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DBMS > Amazon Redshift vs. Apache Druid vs. Sadas Engine vs. Weaviate

System Properties Comparison Amazon Redshift vs. Apache Druid vs. Sadas Engine vs. Weaviate

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Druid  Xexclude from comparisonSadas Engine  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.63
Rank#33  Overall
#20  Relational DBMS
Score3.33
Rank#99  Overall
#51  Relational DBMS
#7  Time Series DBMS
Score0.06
Rank#371  Overall
#155  Relational DBMS
Score2.00
Rank#138  Overall
#4  Vector DBMS
Websiteaws.amazon.com/­redshiftdruid.apache.orgwww.sadasengine.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.aws.amazon.com/­redshiftdruid.apache.org/­docs/­latest/­designwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationweaviate.io/­developers/­weaviate
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation and contributorsSADAS s.r.l.Weaviate B.V.
Initial release2012201220062019
Current release29.0.0, February 20248.01.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercial infofree trial version availableOpen Source infocommercial license available with Weaviate Enterprise
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 languageCJavaC++Go
Server operating systemshostedLinux
OS X
Unix
AIX
Linux
Windows
Data schemeyesyes infoschema-less columns are supportedyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesyes 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.nononono
Secondary indexesrestrictedyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL for queryingyesGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomanual/auto, time-basedhorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
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.yesnoyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Amazon RedshiftApache DruidSadas EngineWeaviate
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon RedshiftApache DruidSadas EngineWeaviate
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