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DBMS > DuckDB vs. Faircom EDGE vs. NSDb vs. SQL.JS vs. XTDB

System Properties Comparison DuckDB vs. Faircom EDGE vs. NSDb vs. SQL.JS vs. XTDB

Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonNSDb  Xexclude from comparisonSQL.JS  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesPort of SQLite to JavaScriptA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSKey-value store
Relational DBMS
Time Series DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websiteduckdb.orgwww.faircom.com/­products/­faircom-edgensdb.iosql.js.orggithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationduckdb.org/­docsdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlnsdb.io/­Architecturesql.js.org/­documentation/­index.htmlwww.xtdb.com/­docs
DeveloperFairCom CorporationAlon Zakai infoenhancements implemented by othersJuxt Ltd.
Initial release20181979201720122019
Current release1.0.0, June 2024V3, October 20201.19, September 2021
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infoRestricted, free version availableOpen Source infoApache Version 2.0Open SourceOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ANSI C, C++Java, ScalaJavaScriptClojure
Server operating systemsserver-lessAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
macOS
server-less, requires a JavaScript environment (browser, Node.js)All OS with a Java 8 (and higher) VM
Linux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyes: int, bigint, decimal, stringyesyes, extensible-data-notation format
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.noyesnonono
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLyesyes infoANSI SQL queriesSQL-like query languageyes infoSQL-92 is not fully supportedlimited SQL, making use of Apache Calcite
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
JavaScript APIHTTP REST
JDBC
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Java
Scala
JavaScriptClojure
Java
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++nonono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning infoCustomizable business rules for partitioningShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoSynchronous and asynchronous realtime replication based on transaction logsnoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Eventual Consistencynone
Foreign keys infoReferential integritynoyes infowhen using SQLnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneno infoexcept by serializing a db to a fileyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.no

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More resources
DuckDBFaircom EDGE infoformerly c-treeEDGENSDbSQL.JSXTDB infoformerly named Crux
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