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DBMS > Apache Phoenix vs. Memcached vs. Teradata vs. Weaviate

System Properties Comparison Apache Phoenix vs. Memcached vs. Teradata vs. Weaviate

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonMemcached  Xexclude from comparisonTeradata  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseIn-memory key-value store, originally intended for cachingA hybrid cloud data analytics software platform (Teradata Vantage)An AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSKey-value storeRelational DBMSVector DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score1.52
Rank#153  Overall
#6  Vector DBMS
Websitephoenix.apache.orgwww.memcached.orgwww.teradata.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationphoenix.apache.orggithub.com/­memcached/­memcached/­wikidocs.teradata.comweaviate.io/­developers/­weaviate
DeveloperApache Software FoundationDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalTeradataWeaviate B.V.
Initial release2014200319842019
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.6.27, May 2024Teradata Vantage 1.0 MU2, January 20191.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD licensecommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCGo
Server operating systemsLinux
Unix
Windows
FreeBSD
Linux
OS X
Unix
Windows
hosted
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesnoyesyes 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.noyesno
Secondary indexesyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesnoyes infoSQL 2016 + extensionsGraphQL is used as query language
APIs and other access methodsJDBCProprietary protocol.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functionsnoyes infoUDFs, stored procedures, table functions in parallelno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoRepcached, a Memcached patch, provides this functionallityMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyes infousing SASL (Simple Authentication and Security Layer) protocolfine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Apache PhoenixMemcachedTeradataWeaviate
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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Apache PhoenixMemcachedTeradataWeaviate
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