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DBMS > RavenDB vs. Sequoiadb vs. SingleStore vs. Transbase

System Properties Comparison RavenDB vs. Sequoiadb vs. SingleStore vs. Transbase

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Editorial information provided by DB-Engines
NameRavenDB  Xexclude from comparisonSequoiadb  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseNewSQL database with distributed OLTP and SQLMySQL 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 typeA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument storeDocument store
Relational DBMS
Relational DBMSRelational 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
Score2.68
Rank#102  Overall
#19  Document stores
Score0.42
Rank#263  Overall
#41  Document stores
#121  Relational DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score0.05
Rank#355  Overall
#150  Relational DBMS
Websiteravendb.netwww.sequoiadb.comwww.singlestore.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationravendb.net/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.singlestore.comwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperHibernating RhinosSequoiadb Ltd.SingleStore Inc.Transaction Software GmbH
Initial release2010201320131987
Current release5.4, July 20228.5, January 2024Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoAGPL version 3, commercial license availableOpen Source infoServer: AGPL; Client: Apache V2commercial infofree developer edition availablecommercial infofree development license
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 languageC#C++C++, GoC and C++
Server operating systemsLinux
macOS
Raspberry Pi
Windows
LinuxLinux info64 bit version requiredFreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyes infooid, date, timestamp, binary, regexyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query language (RQL)SQL-like query languageyes infobut no triggers and foreign keysyes
APIs and other access methods.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
proprietary protocol using JSONCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
PHP
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesJavaScriptyesyes
Triggersyesnonoyes
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 replicationSource-replica replication infostores two copies of each physical data partition on two separate nodesSource-replica replication
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 systemDefault 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.Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Cluster-wide transaction availableDocument is locked during a transactionACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes 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.noyesno
User concepts infoAccess controlAuthorization levels configured per client per databasesimple password-based access controlFine grained access control via users, groups and rolesfine grained access rights according to SQL-standard

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More resources
RavenDBSequoiadbSingleStore infoformer name was MemSQLTransbase
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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, Business Wire

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

Third time was the charm for SingleStore in the cloud, CEO says
8 July 2024, The Register

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

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

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