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DBMS > Kinetica vs. NSDb vs. SurrealDB vs. TimesTen vs. Warp 10

System Properties Comparison Kinetica vs. NSDb vs. SurrealDB vs. TimesTen vs. Warp 10

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonNSDb  Xexclude from comparisonSurrealDB  Xexclude from comparisonTimesTen  Xexclude from comparisonWarp 10  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 fully ACID transactional, developer-friendly, multi-model DBMSIn-Memory RDBMS compatible to OracleTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSTime Series DBMSDocument store
Graph DBMS
Relational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitewww.kinetica.comnsdb.iosurrealdb.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.warp10.io
Technical documentationdocs.kinetica.comnsdb.io/­Architecturesurrealdb.com/­docsdocs.oracle.com/­database/­timesten-18.1www.warp10.io/­content/­02_Getting_started
DeveloperKineticaSurrealDB LtdOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005SenX
Initial release20122017202219982015
Current release7.1, August 2021v1.5.0, May 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open SourcecommercialOpen Source infoApache License 2.0
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++Java, ScalaRustJava
Server operating systemsLinuxLinux
macOS
Linux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyesyes
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 indexedyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageSQL-like query languageyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
GraphQL
RESTful HTTP API
WebSocket
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
HTTP API
Jupyter
WebSocket
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Java
Scala
Deno
Go
JavaScript (Node.js)
Rust
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functionsnoPL/SQLyes infoWarpScript
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
selectable replication factor infobased on HBase
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 configurationEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlAccess rights for users and roles on table levelyes, based on authentication and database rulesfine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
KineticaNSDbSurrealDBTimesTenWarp 10
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