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DBMS > NSDb vs. RavenDB vs. SingleStore vs. TempoIQ

System Properties Comparison NSDb vs. RavenDB vs. SingleStore vs. TempoIQ

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Editorial information provided by DB-Engines
NameNSDb  Xexclude from comparisonRavenDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseMySQL 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 typeScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelTime Series DBMSDocument storeRelational DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score2.68
Rank#102  Overall
#19  Document stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitensdb.ioravendb.netwww.singlestore.comtempoiq.com (offline)
Technical documentationnsdb.io/­Architectureravendb.net/­docsdocs.singlestore.com
DeveloperHibernating RhinosSingleStore Inc.TempoIQ
Initial release2017201020132012
Current release5.4, July 20228.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL version 3, commercial license availablecommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ScalaC#C++, Go
Server operating systemsLinux
macOS
Linux
macOS
Raspberry Pi
Windows
Linux info64 bit version required
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes: int, bigint, decimal, stringnoyesyes
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 indexesall fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (RQL)yes infobut no triggers and foreign keysno
APIs and other access methodsgRPC
HTTP REST
WebSocket
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
HTTP API
Supported programming languagesJava
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnoyesyesno
Triggersyesnoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, Cluster-wide transaction availableACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentUsing Apache Luceneyesyes 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.yesno
User concepts infoAccess controlAuthorization levels configured per client per databaseFine grained access control via users, groups and rolessimple authentication-based access control

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More resources
NSDbRavenDBSingleStore infoformer name was MemSQLTempoIQ infoformerly TempoDB
DB-Engines blog posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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Recent citations in the news

RavenDB Launches Version 6.0 Lightning Fast Queries, Data Integrations, Corax Indexing Engine, and Sharding
3 October 2023, PR Newswire

Install the NoSQL RavenDB Data System
14 May 2021, The New Stack

RavenDB Welcomes David Baruc as Chief Revenue Officer: Seasoned Tech Leader to Drive Global Sales and Accelerate Growth
13 June 2023, PR Newswire

Get To Know: Oren Eini, CEO, RavenDB
22 October 2019, Intelligent CIO

RavenDB Adds Graph Queries
15 May 2019, Datanami

provided by Google News

SingleStore Partners With Snowflake to Help Users Build Faster, More Efficient Real Time AI Applications
19 September 2024, businesswire.com

SingleStore CEO sees little future for purpose-built vector databases
24 January 2024, VentureBeat

Achieve near real-time analytics on Amazon DynamoDB with SingleStore
16 September 2024, AWS Blog

Building a Modern Database: Nikita Shamgunov on Postgres and Beyond
18 April 2024, Madrona Venture Group

SingleStore: We do vectors and you don’t need knowledge graphs
22 July 2024, Blocks & Files

provided by Google News



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