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DBMS > Kinetica vs. NSDb vs. Pinecone vs. SurrealDB

System Properties Comparison Kinetica vs. NSDb vs. Pinecone vs. SurrealDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonNSDb  Xexclude from comparisonPinecone  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA managed, cloud-native vector databaseA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSTime Series DBMSVector DBMSDocument store
Graph DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitewww.kinetica.comnsdb.iowww.pinecone.iosurrealdb.com
Technical documentationdocs.kinetica.comnsdb.io/­Architecturedocs.pinecone.io/­docs/­overviewsurrealdb.com/­docs
DeveloperKineticaPinecone Systems, IncSurrealDB Ltd
Initial release2012201720192022
Current release7.1, August 2021v1.5.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Java, ScalaRust
Server operating systemsLinuxLinux
macOS
hostedLinux
macOS
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringString, Number, Booleanyes
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.nonono
Secondary indexesyesall fields are automatically indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
RESTful HTTP APIGraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Java
Scala
PythonDeno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresuser defined functionsno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users and roles on table levelyes, based on authentication and database rules

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More resources
KineticaNSDbPineconeSurrealDB
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