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DBMS > Kyligence Enterprise vs. NSDb vs. SingleStore vs. Weaviate

System Properties Comparison Kyligence Enterprise vs. NSDb vs. SingleStore vs. Weaviate

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Editorial information provided by DB-Engines
NameKyligence Enterprise  Xexclude from comparisonNSDb  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA distributed analytics engine for big data, built on top of Apache KylinScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSTime Series DBMSRelational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.44
Rank#259  Overall
#118  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websitekyligence.io/­kyligence-enterprisensdb.iowww.singlestore.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationnsdb.io/­Architecturedocs.singlestore.comweaviate.io/­developers/­weaviate
DeveloperKyligence, Inc.SingleStore Inc.Weaviate B.V.
Initial release2016201720132019
Current release8.5, January 20241.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infofree developer edition 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 languageJavaJava, ScalaC++, GoGo
Server operating systemsLinuxLinux
macOS
Linux info64 bit version required
Data schemeyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyes 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.nononono
Secondary indexesyesall fields are automatically indexedyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like query languageyes infobut no triggers and foreign keysGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesJava
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyesno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infohash partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infostores two copies of each physical data partition on two separate nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesUsing Apache Luceneyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlFine grained access control via users, groups and rolesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Kyligence EnterpriseNSDbSingleStore infoformer name was MemSQLWeaviate
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
Kyligence EnterpriseNSDbSingleStore infoformer name was MemSQLWeaviate
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Recent citations in the news

Kyligence adds ClickHouse OLAP engine to its analytics platform
10 August 2021, VentureBeat

How Kyligence Cloud uses Amazon EMR Serverless to simplify OLAP
9 November 2022, AWS Blog

Distributed OLAPer Kyligence accelerates core engine, adds real-time data support
10 August 2021, Blocks & Files

Kyligence Grows OLAP Business in the Cloud
20 February 2020, Datanami

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