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DBMS > Apache Pinot vs. DuckDB vs. Faircom EDGE vs. NSDb vs. XTDB

System Properties Comparison Apache Pinot vs. DuckDB vs. Faircom EDGE vs. NSDb vs. XTDB

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonDuckDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonNSDb  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyAn 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 KubernetesA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Time Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
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
Score0.18
Rank#332  Overall
#46  Document stores
Websitepinot.apache.orgduckdb.orgwww.faircom.com/­products/­faircom-edgensdb.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.pinot.apache.orgduckdb.org/­docsdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlnsdb.io/­Architecturewww.xtdb.com/­docs
DeveloperApache Software Foundation and contributorsFairCom CorporationJuxt Ltd.
Initial release20152018197920172019
Current release1.0.0, September 20231.0.0, June 2024V3, October 20201.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT Licensecommercial infoRestricted, free version availableOpen Source infoApache Version 2.0Open 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 languageJavaC++ANSI C, C++Java, ScalaClojure
Server operating systemsAll OS with a Java JDK11 or higherserver-lessAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
macOS
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyes: int, bigint, decimal, stringyes, 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.noyesnono
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languageyesyes infoANSI SQL queriesSQL-like query languagelimited SQL, making use of Apache Calcite
APIs and other access methodsJDBCArrow 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
HTTP REST
JDBC
Supported programming languagesGo
Java
Python
C
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
Clojure
Java
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++nono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneFile partitioning infoCustomizable business rules for partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoSynchronous and asynchronous realtime replication based on transaction logsyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integritynoyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes, 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.yesyes
User concepts infoAccess controlnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.

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More resources
Apache PinotDuckDBFaircom EDGE infoformerly c-treeEDGENSDbXTDB infoformerly named Crux
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