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DBMS > Hypertable vs. Netezza vs. RavenDB vs. Weaviate

System Properties Comparison Hypertable vs. Netezza vs. RavenDB vs. Weaviate

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRavenDB  Xexclude from comparisonWeaviate  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopData warehouse and analytics appliance part of IBM PureSystemsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelWide column storeRelational DBMSDocument storeVector DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.ibm.com/­products/­netezzaravendb.netgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationravendb.net/­docsweaviate.io/­developers/­weaviate
DeveloperHypertable Inc.IBMHibernating RhinosWeaviate B.V.
Initial release2009200020102019
Current release0.9.8.11, March 20165.4, July 20221.19, May 2023
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoAGPL version 3, commercial license availableOpen 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 languageC++C#Go
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux infoincluded in applianceLinux
macOS
Raspberry Pi
Windows
Data schemeschema-freeyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or datenoyesnoyes 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.no
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyesSQL-like query language (RQL)GraphQL is used as query language
APIs and other access methodsC++ API
Thrift
JDBC
ODBC
OLE DB
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyesyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSource-replica replicationMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction availableno
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.yes
User concepts infoAccess controlnoUsers with fine-grained authorization conceptAuthorization levels configured per client per databaseAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
HypertableNetezza infoAlso called PureData System for Analytics by IBMRavenDBWeaviate
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
HypertableNetezza infoAlso called PureData System for Analytics by IBMRavenDBWeaviate
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