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DBMS > Datomic vs. Kyligence Enterprise vs. NSDb vs. ReductStore vs. ToroDB

System Properties Comparison Datomic vs. Kyligence Enterprise vs. NSDb vs. ReductStore vs. ToroDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonNSDb  Xexclude from comparisonReductStore  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA distributed analytics engine for big data, built on top of Apache KylinScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesDesigned 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.A MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Websitewww.datomic.comkyligence.io/­kyligence-enterprisensdb.iogithub.com/­reductstore
www.reduct.store
github.com/­torodb/­server
Technical documentationdocs.datomic.comnsdb.io/­Architecturewww.reduct.store/­docs
DeveloperCognitectKyligence, Inc.ReductStore LLC8Kdata
Initial release20122016201720232016
Current release1.0.7075, December 20231.9, March 2024
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoApache Version 2.0Open Source infoBusiness Source License 1.1Open Source infoAGPL-V3
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 languageJava, ClojureJavaJava, ScalaC++, RustJava
Server operating systemsAll OS with a Java VMLinuxLinux
macOS
Docker
Linux
macOS
Windows
All OS with a Java 7 VM
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes infostring, integer, double, boolean, date, object_id
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 indexesyesyesall fields are automatically indexed
SQL infoSupport of SQLnoANSI SQL for queries (using Apache Calcite)SQL-like query language
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
HTTP API
Supported programming languagesClojure
Java
Java
Scala
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes infoTransaction Functionsno
TriggersBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentno
User concepts infoAccess controlnoAccess rights for users and roles

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More resources
DatomicKyligence EnterpriseNSDbReductStoreToroDB
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