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DBMS > DuckDB vs. JaguarDB vs. Pinecone vs. YugabyteDB

System Properties Comparison DuckDB vs. JaguarDB vs. Pinecone vs. YugabyteDB

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonJaguarDB  Xexclude from comparisonPinecone  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSPerformant, highly scalable DBMS for AI and IoT applicationsA managed, cloud-native vector databaseHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSKey-value store
Vector DBMS
Vector DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websiteduckdb.orgwww.jaguardb.comwww.pinecone.iowww.yugabyte.com
Technical documentationduckdb.org/­docswww.jaguardb.com/­support.htmldocs.pinecone.io/­docs/­overviewdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperDataJaguar, Inc.Pinecone Systems, IncYugabyte Inc.
Initial release2018201520192017
Current release0.10, February 20243.3 July 20232.19, September 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoGPL V3.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageC++C++ infothe server part. Clients available in other languagesC and C++
Server operating systemsserver-lessLinuxhostedLinux
OS X
Data schemeyesyesdepending on used data model
Typing infopredefined data types such as float or dateyesyesString, Number, Booleanyes
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 indexesyesyesyes
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoyes, PostgreSQL compatible
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
JDBC
ODBC
RESTful HTTP APIJDBC
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
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
PythonC
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnonoyes infosql, plpgsql, C
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlnorights management via user accountsyes
More information provided by the system vendor
DuckDBJaguarDBPineconeYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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DuckDBJaguarDBPineconeYugabyteDB
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