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DBMS > DuckDB vs. TimescaleDB vs. YugabyteDB

System Properties Comparison DuckDB vs. TimescaleDB vs. YugabyteDB

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonTimescaleDB  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.44
Rank#44  Overall
#27  Relational DBMS
Score3.59
Rank#72  Overall
#5  Time Series DBMS
Score2.20
Rank#108  Overall
#53  Relational DBMS
Websiteduckdb.orgwww.timescale.comwww.yugabyte.com
Technical documentationduckdb.org/­docsdocs.timescale.comdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperTimescaleYugabyte Inc.
Initial release201820172017
Current release1.0.0, June 20242.15.0, May 20242024.2, December 2024
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC and C++
Server operating systemsserver-lessLinux
OS X
Windows
Linux
OS X
Data schemeyesyesdepending on used data model
Typing infopredefined data types such as float or dateyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyes infofull PostgreSQL SQL syntaxyes, PostgreSQL compatible
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellyes infosql, plpgsql, C
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes, across time and space (hash partitioning) attributesHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication with hot standby and reads on replicas infoBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes

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More resources
DuckDBTimescaleDBYugabyteDB
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Recent citations in the news

Hands-On Exploratory Data Analysis with DuckDB
15 May 2025, Packt

Analyzing JSON Data with DuckDB and SQL
1 May 2025, KDnuggets

Streamlining access to tabular datasets stored in Amazon S3 Tables with DuckDB | Amazon Web Services
18 March 2025, Amazon Web Services

Abusing DuckDB-WASM To Create Doom In SQL
23 April 2025, Hackaday

DuckDB project releases Local web UI, but not as open source
19 March 2025, devclass

provided by Google News

Timescale Bolsters AI-Ready PostgreSQL with pgai Vectorizer
20 November 2024, infoq.com

Power IoT and time-series workloads with TimescaleDB for Azure Database for PostgreSQL
18 March 2019, Microsoft Azure

PostgreSQL is Now Faster than Pinecone, 75% Cheaper, with New Open Source Extensions
11 June 2024, PR Newswire

Timescale Valuation Rockets to Over $1B with $110M Round, Marking the Explosive Rise of Time-Series Data
22 February 2022, Business Wire

From Materialized Views to Continuous Aggregates: Enhancing PostgreSQL With Real-Time Analytics
3 November 2023, HackerNoon

provided by Google News

YugabyteDB Unveils First Agentic AI Application and Extensible Vector Search For Deploying AI at Scale
8 April 2025, Business Wire

Every Microsecond Counts: YugabyteDB Boosts Performance with Amazon Time Sync | Amazon Web Services
17 February 2025, Amazon Web Services

Karthik Ranganathan, Co-Founder and Co-CEO of Yugabyte – Interview Series
7 January 2025, Unite.AI

YugaByte review: Planet-scale Cassandra and Redis
13 November 2024, InfoWorld

Yugabyte Announces Sixth Annual Distributed SQL Summit, Unveils Keynote and Lineup of Speakers for November Hybrid Event
3 October 2024, Business Wire

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