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DBMS > Apache Phoenix vs. DuckDB vs. GBase vs. TiDB

System Properties Comparison Apache Phoenix vs. DuckDB vs. GBase vs. TiDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDuckDB  Xexclude from comparisonGBase  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAn embeddable, in-process, column-oriented SQL OLAP RDBMSWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.TiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score5.61
Rank#60  Overall
#34  Relational DBMS
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score4.09
Rank#72  Overall
#38  Relational DBMS
Websitephoenix.apache.orgduckdb.orgwww.gbase.cnpingcap.com
Technical documentationphoenix.apache.orgduckdb.org/­docsdocs.pingcap.com/­tidb/­stable
DeveloperApache Software FoundationGeneral Data Technology Co., Ltd.PingCAP, Inc.
Initial release2014201820042016
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.0.0, June 2024GBase 8a, GBase 8s, GBase 8c8.2.0, July 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicensecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.
Implementation languageJavaC++C, Java, PythonGo, Rust
Server operating systemsLinux
Unix
Windows
server-lessLinuxLinux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesStandard with numerous extensionsyes
APIs and other access methodsJDBCArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
ADO.NET
C API
JDBC
ODBC
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
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#Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning (by range, list and hash) and vertical partitioninghorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes infofull support since version 6.6
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoyesFine grained access rights according to SQL-standard
More information provided by the system vendor
Apache PhoenixDuckDBGBaseTiDB
Specific characteristicsTiDB is an advanced open-source, distributed SQL database for modern application...
» more
Competitive advantages- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
» more
Typical application scenariosTiDB is ideal for transactional applications that require extreme scalability and...
» more
Key customersBlock, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud...
» more
Market metrics34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors...
» more
Licensing and pricing modelsTiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
» more

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More resources
Apache PhoenixDuckDBGBaseTiDB
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