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DBMS > InterSystems Caché vs. LevelDB vs. Teradata vs. Weaviate

System Properties Comparison InterSystems Caché vs. LevelDB vs. Teradata vs. Weaviate

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Editorial information provided by DB-Engines
NameInterSystems Caché  Xexclude from comparisonLevelDB  Xexclude from comparisonTeradata  Xexclude from comparisonWeaviate  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA multi-model DBMS and application serverEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA hybrid cloud data analytics software platform (Teradata Vantage)An AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelKey-value store
Object oriented DBMS
Relational DBMS
Key-value storeRelational DBMSVector DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.33
Rank#111  Overall
#19  Key-value stores
Score41.47
Rank#22  Overall
#15  Relational DBMS
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websitewww.intersystems.com/­products/­cachegithub.com/­google/­leveldbwww.teradata.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.intersystems.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.teradata.comweaviate.io/­developers/­weaviate
DeveloperInterSystemsGoogleTeradataWeaviate B.V.
Initial release1997201119842019
Current release2018.1.4, May 20201.23, February 2021Teradata Vantage 1.0 MU2, January 20191.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSDcommercialOpen 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++Go
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
hosted
Linux
Data schemedepending on used data modelschema-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.yesnoyesno
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 methods.NET Client API
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyesnoyes infoUDFs, stored procedures, table functions in parallelno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesno
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 persistentyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesnofine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
InterSystems CachéLevelDBTeradataWeaviate
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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InterSystems CachéLevelDBTeradataWeaviate
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