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DBMS > DuckDB vs. GBase vs. QuestDB vs. Sphinx vs. Transbase

System Properties Comparison DuckDB vs. GBase vs. QuestDB vs. Sphinx vs. Transbase

Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonGBase  Xexclude from comparisonQuestDB  Xexclude from comparisonSphinx  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A high performance open source SQL database for time series dataOpen source search engine for searching in data from different sources, e.g. relational databasesA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSRelational DBMSTime Series DBMSSearch engineRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.61
Rank#60  Overall
#34  Relational DBMS
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score0.05
Rank#355  Overall
#150  Relational DBMS
Websiteduckdb.orgwww.gbase.cnquestdb.iosphinxsearch.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationduckdb.org/­docsquestdb.io/­docssphinxsearch.com/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperGeneral Data Technology Co., Ltd.QuestDB Technology IncSphinx Technologies Inc.Transaction Software GmbH
Initial release20182004201420011987
Current release1.0.0, June 2024GBase 8a, GBase 8s, GBase 8c3.5.1, February 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, Java, PythonJava (Zero-GC), C++, RustC++C and C++
Server operating systemsserver-lessLinuxLinux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocolyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesStandard with numerous extensionsSQL with time-series extensionsSQL-like query language (SphinxQL)yes
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
ADO.NET
C API
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Proprietary protocolADO.NET
JDBC
ODBC
Proprietary native API
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 infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsnonoyes
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioninghorizontal partitioning (by timestamps)Sharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replication with eventual consistencynoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID for single-table writesnoyes
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped filesno
User concepts infoAccess controlnoyesnofine grained access rights according to SQL-standard
More information provided by the system vendor
DuckDBGBaseQuestDBSphinxTransbase
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