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DBMS > HBase vs. UniData,UniVerse vs. Weaviate

System Properties Comparison HBase vs. UniData,UniVerse vs. Weaviate

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonUniData,UniVerse  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableMultiValue database and application server with SQL mapping layer and meta database capabilitiesAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelWide column storeMultivalue DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitehbase.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidatagithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationhbase.apache.org/­book.htmldocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidataweaviate.io/­developers/­weaviate
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetRocket SoftwareWeaviate B.V.
Initial release200819852019
Current release2.3.4, January 20211.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonono
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 infousing Cygwin
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-free, schema definition possibleschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROoptionalyes 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.nono
Secondary indexesnoyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyesGraphQL is used as query language
APIs and other access methodsJava API
RESTful HTTP API
Thrift
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Basic infoU2 Basic
C
Java
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayesno
Triggersyesyes infoU2 Basicno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACID infoconfigurableno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights according to SQL-standard and operating system basedAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
HBaseUniData,UniVerseWeaviate
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
HBaseUniData,UniVerseWeaviate
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