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DBMS > ArcadeDB vs. ReductStore vs. SpaceTime vs. SWC-DB

System Properties Comparison ArcadeDB vs. ReductStore vs. SpaceTime vs. SWC-DB

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonReductStore  Xexclude from comparisonSpaceTime  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.SpaceTime is a spatio-temporal DBMS with a focus on performance.A high performance, scalable Wide Column DBMS
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Time Series DBMSSpatial DBMSWide column store
Secondary database modelsRelational DBMSTime Series 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
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitearcadedb.comgithub.com/­reductstore
www.reduct.store
www.mireo.com/­spacetimegithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.arcadedb.comwww.reduct.store/­docs
DeveloperArcade DataReductStore LLCMireoAlex Kashirin
Initial release2021202320202020
Current releaseSeptember 20211.9, March 20240.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBusiness Source License 1.1commercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, RustC++C++
Server operating systemsAll OS with a Java VMDocker
Linux
macOS
Windows
LinuxLinux
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes
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 indexesyesno
SQL infoSupport of SQLSQL-like query language, no joinsA subset of ANSI SQL is implementedSQL-like query language
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
HTTP APIRESTful HTTP APIProprietary protocol
Thrift
Supported programming languagesJavaC++
JavaScript (Node.js)
Python
Rust
C#
C++
Python
C++
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesFixed-grid hypercubesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nono
User concepts infoAccess controlyes

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More resources
ArcadeDBReductStoreSpaceTimeSWC-DB infoSuper Wide Column Database
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