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DBMS > GBase vs. Kinetica vs. OpenTSDB vs. QuestDB vs. Sphinx

System Properties Comparison GBase vs. Kinetica vs. OpenTSDB vs. QuestDB vs. Sphinx

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonKinetica  Xexclude from comparisonOpenTSDB  Xexclude from comparisonQuestDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Fully vectorized database across both GPUs and CPUsScalable Time Series DBMS based on HBaseA high performance open source SQL database for time series dataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMSSearch engine
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.gbase.cnwww.kinetica.comopentsdb.netquestdb.iosphinxsearch.com
Technical documentationdocs.kinetica.comopentsdb.net/­docs/­build/­html/­index.htmlquestdb.io/­docssphinxsearch.com/­docs
DeveloperGeneral Data Technology Co., Ltd.Kineticacurrently maintained by Yahoo and other contributorsQuestDB Technology IncSphinx Technologies Inc.
Initial release20042012201120142001
Current releaseGBase 8a, GBase 8s, GBase 8c7.1, August 20213.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoLGPLOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, Java, PythonC, C++JavaJava (Zero-GC), C++, RustC++
Server operating systemsLinuxLinuxLinux
Windows
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesyesnumeric data for metrics, strings for tagsyesno
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.yesnonono
Secondary indexesyesyesnonoyes infofull-text index on all search fields
SQL infoSupport of SQLStandard with numerous extensionsSQL-like DML and DDL statementsnoSQL with time-series extensionsSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
C API
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
HTTP API
Telnet API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Proprietary protocol
Supported programming languagesC#C++
Java
JavaScript (Node.js)
Python
Erlang
Go
Java
Python
R
Ruby
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
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnonono
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangenonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding infobased on HBasehorizontal partitioning (by timestamps)Sharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationselectable replication factor infobased on HBaseSource-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnoyes infothrough memory mapped files
User concepts infoAccess controlyesAccess rights for users and roles on table levelnono
More information provided by the system vendor
GBaseKineticaOpenTSDBQuestDBSphinx
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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