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DBMS > Apache Phoenix vs. Teradata vs. Transwarp Hippo vs. Weaviate

System Properties Comparison Apache Phoenix vs. Teradata vs. Transwarp Hippo vs. Weaviate

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonTeradata  Xexclude from comparisonTranswarp Hippo  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA hybrid cloud data analytics software platform (Teradata Vantage)Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasetsAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSRelational DBMSVector 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
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score0.05
Rank#386  Overall
#16  Vector DBMS
Score1.52
Rank#153  Overall
#6  Vector DBMS
Websitephoenix.apache.orgwww.teradata.comwww.transwarp.cn/­en/­subproduct/­hippogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationphoenix.apache.orgdocs.teradata.comweaviate.io/­developers/­weaviate
DeveloperApache Software FoundationTeradataWeaviate B.V.
Initial release2014198420232019
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019Teradata Vantage 1.0 MU2, January 20191.0, May 20231.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen 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 languageJavaC++Go
Server operating systemsLinux
Unix
Windows
hosted
Linux
Linux
macOS
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringyes 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.noyesnono
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesyes infoSQL 2016 + extensionsnoGraphQL is used as query language
APIs and other access methodsJDBC.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
RESTful HTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C++
Java
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functionsyes infoUDFs, stored procedures, table functions in parallelnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoHashingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-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 ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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.yesyesyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardRole based access control and fine grained access rightsAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Apache PhoenixTeradataTranswarp HippoWeaviate
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
Apache PhoenixTeradataTranswarp HippoWeaviate
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