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DBMS > HBase vs. Ingres vs. NSDb vs. Weaviate

System Properties Comparison HBase vs. Ingres vs. NSDb vs. Weaviate

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonIngres  Xexclude from comparisonNSDb  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableWell established RDBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelWide column storeRelational DBMSTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score1.52
Rank#153  Overall
#6  Vector DBMS
Websitehbase.apache.orgwww.actian.com/­databases/­ingresnsdb.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationhbase.apache.org/­book.htmldocs.actian.com/­ingresnsdb.io/­Architectureweaviate.io/­developers/­weaviate
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetActian CorporationWeaviate B.V.
Initial release20081974 infooriginally developed at University Berkely in early 1970s20172019
Current release2.3.4, January 202111.2, May 20221.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoApache Version 2.0Open 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 languageJavaCJava, ScalaGo
Server operating systemsLinux
Unix
Windows infousing Cygwin
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
macOS
Data schemeschema-free, schema definition possibleyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyes: int, bigint, decimal, 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.nono infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesnoyesall fields are automatically indexedyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyesSQL-like query languageGraphQL is used as query language
APIs and other access methodsJava API
RESTful HTTP API
Thrift
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
gRPC
HTTP REST
WebSocket
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
Java
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayesnono
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Ingres Replicatoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
HBaseIngresNSDbWeaviate
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...
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Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
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Key customersAll companies that have data. ​
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Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
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Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
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HBaseIngresNSDbWeaviate
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