DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > ArcadeDB vs. atoti vs. RavenDB vs. SpaceTime

System Properties Comparison ArcadeDB vs. atoti vs. RavenDB vs. SpaceTime

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonatoti  Xexclude from comparisonRavenDB  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Open Source Operational and Transactional Enterprise NoSQL Document DatabaseSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Object oriented DBMSDocument storeSpatial DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websitearcadedb.comatoti.ioravendb.netwww.mireo.com/­spacetime
Technical documentationdocs.arcadedb.comdocs.atoti.ioravendb.net/­docs
DeveloperArcade DataActiveViamHibernating RhinosMireo
Initial release202120102020
Current releaseSeptember 20215.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree versions availableOpen Source infoAGPL version 3, commercial license availablecommercial
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 languageJavaJavaC#C++
Server operating systemsAll OS with a Java VMLinux
macOS
Raspberry Pi
Windows
Linux
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like query language, no joinsMultidimensional Expressions (MDX)SQL-like query language (RQL)A subset of ANSI SQL is implemented
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
RESTful HTTP API
Supported programming languagesJava.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Python
Server-side scripts infoStored proceduresPythonyesno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 integrityyes inforelationship in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Cluster-wide transaction availableno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
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 databaseyes

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ArcadeDBatotiRavenDBSpaceTime
Recent citations in the news

FRTB product of the year: ActiveViam
28 November 2023, Risk.net

provided by Google 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 Adds Graph Queries
15 May 2019, Datanami

Review: NoSQL database RavenDB
20 March 2019, TechGenix

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

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here