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DBMS > Kinetica vs. LevelDB vs. Postgres-XL vs. Valentina Server vs. Weaviate

System Properties Comparison Kinetica vs. LevelDB vs. Postgres-XL vs. Valentina Server vs. Weaviate

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonLevelDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonValentina Server  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresObject-relational database and reports serverA cloud-native, realtime vector search engine integrating scalable machine learning models
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#212  Overall
#103  Relational DBMS
Score3.06
Rank#101  Overall
#18  Key-value stores
Score0.70
Rank#206  Overall
#97  Relational DBMS
Score0.18
Rank#290  Overall
#135  Relational DBMS
Score0.17
Rank#295  Overall
#19  Search engines
Websitewww.kinetica.comgithub.com/­google/­leveldbwww.postgres-xl.orgwww.valentina-db.netgithub.com/­semi-technologies/­weaviate
weaviate.io
Technical documentationwww.kinetica.com/­docsgithub.com/­google/­leveldb/­blob/­master/­doc/­index.mdwww.postgres-xl.org/­documentationvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpweaviate.io/­developers/­weaviate/­current
DeveloperKineticaGoogleParadigma SoftwareSeMI Technologies B.V.
Initial release201220112014 infosince 2012, originally named StormDB19992017
Current release7.1, August 20211.23, February 202110 R1, October 20185.7.51.0.3, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoMozilla public licensecommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++CGo
Server operating systemsLinuxIllumos
Linux
OS X
Windows
Linux
macOS
Linux
OS X
Windows
Data schemeyesschema-freeyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesnoyesyesyes 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.nonoyes infoXML type, but no XML query functionalityno
Secondary indexesyesnoyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infodistributed, parallel query executionyesGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ODBCGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsyesno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnoyesno
User concepts infoAccess controlAccess rights for users and roles on table levelnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardOpenID Connect Discovery
More information provided by the system vendor
KineticaLevelDBPostgres-XLValentina ServerWeaviate
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» more
Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
As a stand-alone vector search engine, or use one of the many modules (transformers,...
» more
Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
A ll companies that have data. ​
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more
Weaviate is open-source, and free to use. We also offer Fully managed Weaviate on...
» more

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More resources
KineticaLevelDBPostgres-XLValentina ServerWeaviate
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